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Microsoft’s abrupt reshaping of Microsoft 365 subscription tiers — folding Copilot into consumer plans, raising renewal prices, and failing to clearly disclose a non‑AI “Classic” alternative — has sparked a regulatory showdown in Australia, a public apology from Microsoft and a refund offer to affected subscribers, while raising urgent questions about subscription UX, disclosure obligations and the monetisation of AI features in everyday software.

Blue split-screen showing Microsoft 365 Copilot with a $22 price and a red REFUND stamp over downgrade options.Background / Overview​

Microsoft began integrating its generative‑AI assistant, Copilot, into Microsoft 365 consumer plans late in 2024 and expanded the rollout globally in early 2025. The change came with headline price increases for Microsoft 365 Personal and Family subscriptions in several jurisdictions, most notably Australia where the Personal plan rose from A$109 to A$159 and the Family plan from A$139 to A$179. Those numbers, cited by regulators and multiple news outlets, underpin the scale of consumer impact alleged by Australia’s competition regulator. The Australian Competition and Consumer Commission (ACCC) filed proceedings in the Federal Court on 27 October 2025, alleging Microsoft misled roughly 2.7 million Australian subscribers by presenting renewal communications that suggested customers only had two options — accept the Copilot‑integrated plan at the new price or cancel — while a contemporaneous lower‑cost Microsoft 365 Personal/Family Classic option (without Copilot) existed but was effectively hidden inside a cancellation flow. The ACCC’s concise statement and press release form the regulatory record. In response, Microsoft apologised to affected subscribers in Australia (and communicated similarly to New Zealand customers), said its messaging “could have been clearer,” and offered a remediation: customers who switch to the Classic plan by a stated deadline will receive refunds of the price difference, processed to the payment method on file. Microsoft’s regional apology letter lays out the three options it now presents to subscribers: stay on the Copilot plan, switch to Classic and receive a refund, or cancel.

What the ACCC says: omission, choice architecture and discoverability​

The regulator’s legal theory​

The ACCC’s case turns on the doctrine that omissions can be misleading under consumer protection law when they cause a reasonable consumer to misunderstand their available choices. The ACCC alleges Microsoft’s renewal emails and a blog post created a binary impression — accept Copilot and the higher fee, or cancel — while failing to disclose the simultaneous availability of the Classic SKUs at the lower price. The regulator’s complaint includes screenshots and a concise statement that show the Classic option surfacing only after a user initiates a cancellation flow.

Choice architecture and “dark patterns”​

This dispute is fundamentally about choice architecture: how options are framed, ordered and made discoverable. If a materially different alternative is tucked behind a cancellation path, the average auto‑renewing customer will not see it at the decision point. That is the exact behaviour the ACCC describes; it argues Microsoft’s design steered customers toward the higher‑priced offering. Regulators and consumer advocates characterise such techniques as dark patterns when intentionally used to nudge consumers toward more expensive choices.

Timeline: key milestones (verified)​

  • 31 October 2024 — Microsoft integrated Copilot into Microsoft 365 consumer plans for Australia, per the ACCC’s filing.
  • January 2025 — wider consumer‑stage rollout and public blog posts explaining Copilot’s integration and global price adjustments.
  • Throughout 2025 — Microsoft sent targeted renewal emails to subscribers with auto‑renewal enabled, which the ACCC cites as central communications.
  • 27 October 2025 — ACCC commenced Federal Court proceedings against Microsoft Australia and its U.S. parent.
  • Early November 2025 — Microsoft issued apology emails, published instructions to switch to Microsoft 365 Classic SKUs, and began offering refunds for eligible customers.
Where dates and pricing are referenced in this article, they are verified against the ACCC’s media release and Microsoft’s own regional communications. The core numerical claims (A$109 → A$159; A$139 → A$179; ~2.7 million affected) are consistent across regulatory filings and independent reporting.

Microsoft’s apology and refund offer — what it actually says​

Microsoft’s regional message to subscribers lays out a three‑option remediation: stay on the new Copilot‑enabled Microsoft 365, switch to Microsoft 365 Personal/Family Classic and receive a refund of the price difference (if switched by the company’s deadline), or cancel the subscription outright. Refunds, Microsoft says, will be processed to the payment method on file within a stated timeframe once eligibility is confirmed. Operationally, Microsoft’s email specifies eligibility windows and instructs affected customers how to switch; it also acknowledges that the initial apology email contained a broken link for some subscribers and that the company had to resend corrected communications in some cases. Early news reporting and user anecdotes corroborate reports of occasional broken links or misdirected downgrade flows, which suggest execution friction in the remediation. Caveat: Microsoft’s apology and refund mechanics explicitly apply to subscribers in Australia who received the email, and the published regional note focused on Australia and New Zealand. Public reporting about Malaysia, Singapore, Taiwan and Thailand facing similar earlier price hikes exists, but Microsoft’s apology text available at publication did not clearly extend the same explicit refund language to those four APAC markets — a point discussed under the “Open questions” section below.

Why this matters to consumers: money, transparency and trust​

The immediate consumer impact is straightforward: many subscribers who were on auto‑renew may have been charged substantially more than they expected if they did not discover the Classic SKU in time. For household budgets and price‑sensitive users, a 29–45% jump in an annual subscription matters. The ACCC frames the alleged harm as both an economic injury (higher payments) and an informational injury (lack of a meaningful opportunity to choose). Beyond direct refunds, the case touches on wider consumer‑rights principles: when companies add paid AI features into familiar services, they must make opt‑out or lower‑cost alternatives as visible and actionable as the upsell. That principle is especially important in subscription markets dominated by auto‑renewal, where a timely, clear notice can be the only point at which a consumer exercises choice.

Legal stakes and potential penalties​

Under Australian Consumer Law, misleading or deceptive conduct (including material omissions) can attract substantial penalties. The ACCC has noted maximum penalties that are the greater of A$50 million, three times the benefit obtained, or 30% of adjusted turnover during the breach period — a formula that can yield very large figures for multinational corporations. The ACCC is seeking declarations, injunctions, consumer redress and penalties; the ultimate financial exposure will depend on the court’s findings on whether Microsoft’s communications were misleading by omission and whether harm can be quantified. This is not just a financial risk for Microsoft. A judicial finding that the company used problematic choice architecture could set a legal precedent, attracting stricter scrutiny of subscription UX in other jurisdictions and increasing compliance costs for digital services that monetise AI features.

UX, product design and the ethics of monetising AI​

Product teams vs. compliance teams​

The Microsoft case highlights a recurring tension: product teams want to monetise new capabilities (here, Copilot), while legal and compliance teams must ensure communications meet consumer‑protection standards. The design decision to surface Classic SKUs only inside a cancellation flow is a textbook example of how product UX choices can morph into regulatory liabilities.

Transparency is not just moral — it’s practical​

Clear, contemporaneous disclosure of alternatives avoids consumer harm and reduces long‑tail remediation costs. In practice, companies should:
  • Present all materially different subscription options in renewal notices and account dashboards.
  • Use simple, unambiguous language about what features are included and whether the price has changed.
  • Avoid burying lower‑cost alternatives inside flows that a consumer would only traverse when trying to leave.
These are basic UX and legal hygiene steps that seem obvious in hindsight but are often cut or de‑prioritised during rapid product launches.

Global ripple effects: regulators watching paid AI features​

This dispute will be watched closely by regulators worldwide. Competition and consumer authorities in other markets are increasingly focused on how big tech companies present subscription changes and monetise features like generative AI. A finding against Microsoft in Australia could embolden similar actions elsewhere, drive additional policy guidance on subscription reporting, and shape industry best practices for AI feature rollouts. Microsoft itself likely recognises the reputational risk of being perceived as opaque about paid AI.

Practical guidance: what affected Microsoft 365 subscribers should do now​

If you believe you may have been affected by this change, follow these steps to check eligibility and claim remedies:
  • Check your Microsoft Account subscription page to confirm whether you were upgraded to a Copilot‑enabled Microsoft 365 Personal/Family plan or remain on a Classic SKU.
  • If you received an email from Microsoft about the apology and refund offer, follow the official instructions to switch to Microsoft 365 Classic by the stated deadline to preserve refund eligibility. Microsoft’s email specifies switching by 31 December 2025 for refunds covering renewals after 30 November 2024 (check the exact dates in your message).
  • If the account flow or link doesn’t work, document the problem (screenshots, timestamps) and contact Microsoft support; keep records in case you need to escalate or seek redress through consumer authorities. Early reporting indicates some customers encountered broken links or misdirected pages, which may complicate individual remedies.
  • Monitor your payment method for the refund (Microsoft says refunds will be processed to the payment method on file within a stated processing window). If you get account credit instead of a payment, seek clarification — the ACCC’s chair has emphasised that cash paybacks, not credit, are the fair outcome for many affected consumers.

Strengths of Microsoft’s response — and why it may still fall short​

Microsoft’s quick apology and concrete offer to refund the price difference represent an effective immediate mitigation: the company has acknowledged shortcomings, provided a mechanism for redress, and updated messaging to be clearer about alternatives. These are sensible customer‑service moves that reduce short‑term consumer harm and demonstrate responsiveness to regulatory pressure. However, the response raises practical and legal concerns. First, remediation applies only to customers who received the notice and acted within the defined window — which may not cover all harmed users. Second, reports of operational friction (broken links, incorrect downgrade paths, or refunds issued as account credit) undermine trust and could strengthen the ACCC’s argument that the original flow impeded access to alternatives. Finally, Microsoft’s apology does not close the legal question of whether the company’s prior communications were misleading by omission; the federal court will still decide liability and possible penalties.

Risks and unresolved questions​

  • Geographic scope: Microsoft’s apology and explicit refund mechanics primarily address Australia (and communications referenced New Zealand). Whether the same remediation will be offered in Malaysia, Singapore, Taiwan or Thailand — markets that also saw Copilot‑related price changes earlier — is not clearly stated in Microsoft’s regional apology messaging and remains unverified. Independent outlets referenced price changes in multiple APAC countries, but Microsoft’s public regional statement focuses on Australia. Treat extensions of the refund offer to other markets as unconfirmed until Microsoft issues explicit local guidance.
  • Scale of refunds and actual remediation uptake: public reporting and the ACCC’s filings identify headline figures (2.7 million affected), but how many subscribers will successfully claim refunds, how many refunds will be processed to original payment methods, and the total remediation cost remain unknown. Microsoft’s offer may materially limit reputational damage but does not resolve the regulatory questions about intent or systemic UX design.
  • Broader legal consequences: a court finding that Microsoft’s communications were misleading could impose significant penalties and produce injunctive remedies that force changes to how subscription changes are communicated. Such a finding could have industry‑wide repercussions on subscription UX design and legal compliance programs.
Where claims in public discussion rely on internal intent or motive — for example, whether design choices were deliberately engineered to maximise upgrades — those remain allegations until the court record reveals internal communications or other evidence produced in discovery. Readers should distinguish between proven facts (dates, pricing, ACCC filings, Microsoft’s apology) and claims or interpretations about motive, which are subject to litigation.

Lessons for product managers and consumer‑facing teams​

  • Treat pricing and subscription communications as legal documents. Have legal and compliance review renewal notices, email templates and account flows before sending to customers.
  • Make opt‑out and lower‑cost alternatives equally discoverable — do not bury them inside flows intended to prevent churn.
  • Test account flows end‑to‑end with actual user accounts to ensure links, downgrade paths and refund mechanics function properly before rolling out broad changes.
  • Document and preserve communication records; in regulatory disputes, the timeline and the exact wording matter.
    These steps reduce the regulatory, reputational and remediation costs of getting subscription changes wrong.

Final read: where this leaves Microsoft, subscribers and regulators​

Microsoft’s apology and refund offer are meaningful steps toward addressing immediate consumer harm, but they do not eliminate the underlying legal and ethical issues raised by the ACCC. The Federal Court proceedings will determine whether Microsoft’s prior communications breached Australian consumer law and, if so, what remedies and penalties should follow. The case is likely to be watched globally as regulators and product teams grapple with the question of how — and how transparently — paid AI features are rolled into subscription services.
For subscribers, the immediate priority is to check the official Microsoft communication they received, confirm eligibility and, if eligible, follow Microsoft’s process to switch to the Classic plan and claim a refund. For product leaders everywhere, the episode is a stark reminder: you can innovate with AI, but you cannot compromise clarity, consent or discoverability without risking both consumer trust and regulatory action.
Conclusion
The Microsoft Copilot bundling saga is not only a regulatory test case — it is also a cautionary tale about the intersection of monetisation, UX design and consumer law in the age of paid AI. Quick remediation helps, but the broader lesson is clear: when adding AI to widely used subscription services, companies must make alternatives plainly visible, unambiguous and operationally frictionless. The Australian case will help define the standard of transparency consumers and regulators will expect going forward.
Source: TechRadar Microsoft apologizes to 365 users over confusing software tiers
 

Windows 11’s glossy surfaces and Fluent Design flourishes hide a quieter reality: under the polish lies a decades‑old codebase and a surprising number of user interfaces that haven’t seen meaningful redesigns in years. Pocket‑lint’s recent roundup of five “ancient” corners of Windows 11 — Computer Management, Registry Editor, Character Map, Windows Mobility Center, and the screensaver subsystem — is a useful reminder that modernizing an OS isn’t just about new features, it’s also about consistency, accessibility, and maintainability across hundreds of small tools. Many of those tools still behave like relics from earlier Windows generations.

Split-screen: Computer Management on the left, MMC diagram on the right.Background / Overview​

Windows’ technical foundation is the product of iterative evolution rather than wholesale replacement. The NT kernel and Win32 subsystem trace their lineage back to the 1990s and have been carried forward through successive Windows releases to preserve application compatibility and enterprise continuity. That continuity is a strength — it lets decades‑old software run on modern hardware — but it also creates a sprawling maintenance surface where some components age gracefully and others stagnate.
Modern Windows 11 mixes two very different engineering approaches: a newer shell and app set built with WinUI/Fluent Design and modern frameworks, and a large corpus of legacy Win32 utilities and MMC snap‑ins that still run as they did in the Windows 7 or even Vista era. The result is visual fragmentation, UX inconsistencies, and feature gaps (dark mode, high‑DPI scaling, touch friendliness) that stand out when you move between the Store apps and the older management consoles. Community coverage and forum discussions have documented how those mismatches affect everyday usability for power users and IT admins alike.

Why these legacy corners matter​

These aren’t purely cosmetic complaints. The tools on Pocket‑lint’s list serve real roles:
  • Computer Management and Registry Editor are essential for troubleshooting, administration, and system configuration on both consumer and enterprise devices.
  • Character Map and the screensaver manager are niche but visible touchpoints for accessibility, creatives, and users who rely on consistent system behavior.
  • Mobility Center, while rooted in tablet-era workflows, is still used by some OEMs and enterprise images to surface quick settings.
Because these tools are often invoked when something is wrong — driver issues, misconfigured policies, or troubleshooting sessions — their clarity and predictability materially affect productivity and error rates. A legacy UI that obscures state or lacks basic accessibility features is not just ugly; it can slow recovery and increase support costs.

The five ancient parts: what’s wrong, and why it matters​

1. Computer Management — functional, but frozen in time​

Computer Management remains a central MMC (Microsoft Management Console) hub: Event Viewer, Disk Management, Device Manager, Task Scheduler, Local Users and Groups, and more are accessed through this single container. For administrators, that’s convenient; for everyone else, it’s a maze of legacy UI paradigms that feel alien in a modern OS.
Problems:
  • Visual inconsistency with modern Windows 11 styling, no Fluent Design or WinUI adoption.
  • No dark mode, which affects readability and user comfort for those on dark themes.
  • Poor touch support and controls sized for mouse pointers, making it awkward on hybrid devices.
  • Non‑responsive layouts: many MMC panes aren’t fluid when you resize windows.
  • High‑DPI and scaling issues lead to slightly blurry text and icons on modern displays, a telltale sign of older GDI‑based rendering still in use.
Why it matters: administrators need tools that are fast to scan, readable under varied lighting conditions, and touch‑friendly when working on tablets or convertibles. Leaving a central admin surface frozen in legacy tech increases cognitive load and slows triage.

2. Registry Editor — a power tool that looks like Windows 98​

Registry Editor (regedit) is one of the most powerful utilities in Windows; a single mistyped key can break behavior or introduce security risk. Yet its visual and interaction design remains locked to classic Win32 paradigms.
Problems:
  • No theming or dark mode, causing jarring contrast when users prefer dark system themes.
  • Limited touch and pen usability, with small tree controls and dense key lists.
  • Lacks modern UX affordances like animated transitions, progressive disclosure, or contextual help.
  • No safe sandboxing or guided workflows for risky edits; power is exposed without protective affordances.
Why it matters: power user tasks should be safe and discoverable. A modernized registry editor could add safety checks, preview diffs, and better search/replace for long troubleshooting sessions — and still preserve direct binary access for experts. Forum discussions repeatedly call out the Registry Editor as overdue for a refresh.

3. Character Map — functional but underwhelming​

Character Map is a simple utility for inserting glyphs and special characters from installed fonts. It still performs that job but does so with a dated interface and poor discoverability.
Problems:
  • Outdated UI that looks mismatched next to the modern emoji & symbol picker (Win + . or Win + ;).
  • Inefficient workflows for previewing, selecting, and copying multiple glyphs.
  • No integration with the modern clipboard history, recent symbols, or touch keyboard workflows.
Why it matters: creatives, academics, and multilingual users depend on reliable character picking. The modern emoji & more panel addresses some use cases (emoji, GIFs, clipboard history), but it’s not a 1:1 replacement for the full glyph browsing capabilities Character Map exposes. A modern, responsive character picker that surfaces font metadata and sample usage would close a small but meaningful UX gap.

4. Windows Mobility Center — an orphaned tablet relic​

Introduced to simplify OEM power and display controls on notebooks and tablets, Mobility Center was useful in the Windows Vista / Windows 7 era. Today its role largely overlaps with Quick Settings in Windows 11.
Problems:
  • Duplicate functionality exists in Quick Settings; Mobility Center hasn’t been integrated or modernized.
  • Visual and interaction mismatch with the rest of the OS.
  • Sparse adoption beyond OEMs that still use it to expose custom tiles.
Why it matters: redundant, inconsistent quick panels confuse users and split OEM integrations across legacy and modern APIs. Bringing Mobility Center’s extensibility model (third‑party OEM tiles) into Quick Settings — with a documented developer API — would simplify ecosystem development and reduce UI fragmentation.

5. Screensavers — neglected nostalgia and utility​

Screensavers now sit in the cultural margins of operating systems, but Windows’ screensaver UI itself looks particularly ancient: an old CRT icon, a dismal default set of included screensavers, and a setting flyout that doesn’t feel like it belongs in Windows 11.
Problems:
  • No modern integration with Settings or personalization flows.
  • Iconography and language that evoke decades‑old hardware (CRT drawings).
  • Loss of several classic screensavers over the years, leaving an unexciting built‑in selection.
  • No store‑backed or extensible model to discover community or modernized screensavers safely.
Why it matters: screensavers aren’t essential, but they’re part of personalization and can be used for ambient displays, kiosk scenarios, or privacy (password on resume). Modern users and enterprises would benefit from an updated settings page and an official app model for curated idle displays; at the very least, updating the UI and restoring some classic options would be low‑cost UX wins. Pocket‑lint’s piece highlights user frustration and nostalgia for classic screensavers like Pipes and 3D Maze — claims that resonate across user communities, though some specifics about which artifacts were removed should be treated as historical reporting rather than technical assertion.

Technical and design roots: why these areas lag​

Three big drivers explain why these parts persist in an old form:
  • Compatibility first engineering: Windows’ long history of backward compatibility obliges Microsoft to preserve behavior and APIs. Replacing or rewriting administration surfaces risks breaking scripts, automation, and enterprise workflows, so incremental modernization is the pragmatic route.
  • Resource prioritization: Microsoft focuses design and engineering investment on high‑visibility areas (shell shell, Store apps, Copilot features, security hardening). Low‑traffic utility apps are deprioritized even if they’re important to a subset of users.
  • Integration complexity: Many legacy tools are built on MMC, GDI, and the Win32 API; migrating them to WinUI/Fluent Design or modern frameworks requires careful layering to preserve functionality, permissions, and third‑party integrations from OEMs and enterprise management tools.
These forces are not excuses — they’re real engineering trade‑offs — but they also point to practical modernization patterns that balance compatibility with improved UX.

Critical analysis: strengths, risks, and priorities​

Strengths of keeping legacy tools​

  • Reliability and predictability: Administrators and legacy apps depend on known behavior; changing a central tool without a migration story could break automation and PCI compliance procedures.
  • Low resource footprint: Many Win32 tools are tiny and efficient compared with full UWP/WinUI apps.
  • Enterprise continuity: In large organizations, retraining and recertification costs matter; having old-but-known tools reduces change management pain.

Risks and downsides​

  • Fragmented UX and accessibility regressions: Users toggle between modern and legacy UI models, creating inconsistent discoverability and accessibility coverage.
  • Technical debt and maintenance cost: The longer a UI remains untouched, the harder it becomes to modernize. GDI‑based text rendering and bespoke layout code complicate a future rewrite.
  • Security posture and accidental misuse: Tools like Registry Editor expose risky capabilities without modern guardrails or safer alternatives; that increases the chance of accidental but impactful mistakes.
  • Developer & OEM friction: OEMs and third‑party developers face multiple extension points (legacy APIs vs. modern Quick Settings), adding maintenance burden.

Prioritization — what Microsoft should modernize first​

  • Registry Editor — high impact: modernize for safety (preview diffs, undo, sandboxed test mode), theming, and accessibility.
  • Computer Management — high frequency for admins: reframe as a modern, responsive SysAdmin app that surfaces Device Manager, Event Viewer, and Storage in unified, touch‑friendly panes.
  • Quick Settings / Mobility Center convergence — unify extension APIs so OEMs can surface custom tiles in the modern Quick Settings panel.
  • Character Picker — merge Character Map capabilities with the Emoji & More panel and the touch keyboard, enabling an advanced glyph browser.
  • Screensaver system — small cosmetic & cultural wins: move settings into the modern Personalization page and introduce a safe discovery model for third‑party idle displays.
This ordering balances safety and frequency — start where the cost of failure or friction is highest.

Practical recommendations for users and admins​

  • For administrators worried about legacy UI quirks, document and script workflows. Many legacy consoles are scriptable (PowerShell and WMI) and that reduces dependency on a particular UI. Forum guidance encourages sysadmins to use profiles, Group Policy, and PowerShell remoting to reduce repetitive GUI actions.
  • Power users who want modern replacements now can:
  • Use the Emoji & More panel (Win + . or Win + ;) for quick access to emojis and basic symbols; install third‑party character picker apps from the Microsoft Store if you need richer glyph browsing.
  • Rely on PowerShell and modern management tools (like Microsoft Endpoint Manager) to script tasks traditionally done in Computer Management.
  • Use third‑party tools (open‑source task managers, modern registry viewers/editors) carefully — confirm signatures, compatibility, and update cadence before deploying across fleets. Community discussions recommend vetted, actively maintained tools where Microsoft’s own UI falls short.

How Microsoft could modernize without breaking enterprise workflows​

A pragmatic modernization path should minimize behavioral changes while improving UX:
  • Compatibility wrappers: Keep the underlying management APIs intact while building WinUI front ends that call the same management endpoints. This yields modern UX without changing programmatic behavior.
  • Progressive rollout: Offer preview/insider builds that mirror the legacy MMC views in a modern shell, giving admins time to validate scripts and management packs.
  • Feature parity with safe defaults: Add undo, preview, and exportable change logs to high‑risk tools (Registry Editor, Group Policy editor) before removing access to legacy consoles.
  • Extension APIs parity: Provide developers and OEMs a single, documented endpoint for Quick Settings tiles so Mobility Center-style integrations can migrate without vendor burden.
  • Theming and accessibility baseline: Require new or refreshed system apps to support dark mode, high‑DPI, keyboard navigation, screen reader compatibility, and touch targets.
This approach protects enterprise investments while enabling the modern UX benefits users expect.

Flagging unverifiable and context‑sensitive claims​

Some claims in public commentary and social threads — for example, exactly which classic screensavers were removed or when a specific OEM stopped using Mobility Center tiles — are best treated as historical anecdotes unless validated against Microsoft release notes or OEM documentation. Reports that iconic screensavers like Pipes or 3D Maze were “gutted” often reflect changes in default image sets across many Windows releases; while the general claim (screensavers have been de‑emphasized) is verifiable in the broad sense, the precise timeline and reasons vary and should be confirmed against Microsoft’s official product notes for definitive accuracy. When a specific technical detail matters (API changes, security fixes, or lifecycle dates), consult official documentation or Windows Insider release notes for exact dates and behavior.

The user experience case for modernization: brief scenarios​

  • A helpdesk technician juggling remote troubleshooting would benefit from a unified, searchable Computer Management that loads relevant panes on demand and offers inline contextual help and telemetry traces.
  • A creative professional who frequently inserts diacritics and specialized Unicode glyphs would save minutes per document with an integrated glyph browser that remembers recent picks and previews ligature compatibility.
  • An enterprise security engineer would appreciate Registry Editor enhancements that allow change preview, signing of exported keys, and role‑based access for risky operations.
Small changes to these antiquated UIs compound into measurable productivity gains for professionals who rely on them daily.

Conclusion​

Windows 11’s blend of modern shell and legacy underpinnings is a double‑edged sword: it preserves decades of compatibility while producing a landscape of user interfaces that range from state‑of‑the‑art to painfully dated. Pocket‑lint’s list of five ancient parts — Computer Management, Registry Editor, Character Map, Windows Mobility Center, and screensavers — captures a persistent reality: modernizing an OS is not a single feature drop, it’s a thousand small updates that must preserve behavior, support developers, and reduce cognitive friction for users.
The path forward is clear in principle: prioritize safety and enterprise compatibility, modernize high‑impact tools first (Registry Editor, Computer Management), unify duplicate quick settings APIs for OEMs, and update small personalization surfaces (character picker, screensavers) for discoverability and accessibility. Those changes will shrink the jarring UX gaps and make the entire OS feel cohesive without throwing away the compatibility that made Windows successful in the first place. Community reporting and forum conversations make the problem visible and actionable; now it’s an engineering and product management choice to turn those small, widely felt annoyances into meaningful platform improvements.

Source: Pocket-lint 5 ancient parts of Windows 11 that haven't been updated in decades
 

Short, sharp, and sometimes brittle: a hands‑on recheck of free AI coding assistants in 2025 shows the market settling into two clear tiers — capable free tools that are safe for everyday use, and a larger group of impressive but error‑prone free offerings that still demand heavy human oversight.

Split-screen desk scene: left shows free AI tools, right displays a warning about a conflicting tool.Background / Overview​

The last three years pushed AI from autocomplete into agentic workflows that can edit multiple files, open pull requests, run tests, and operate from IDEs or the terminal. That shift changed how we evaluate coding assistants: raw model power matters, but so do integration, quotas, tool access, and first‑pass correctness — especially for the free tiers most developers use while experimenting or on tight budgets.
In mid‑2025, a practical head‑to‑head review ran four reproducible, developer‑focused tests against eight well‑known free chatbots. The methodology stressed real‑world day‑to‑day tasks — building a small WordPress plugin UI, rewriting a dollars‑and‑cents validation routine, diagnosing a framework bug, and producing a mixed macOS/Chrome/Keyboard Maestro automation script — intentionally mixing commonplace and platform‑specific edge cases that reveal brittle behavior. The reviewer reported that only three free assistants passed the majority of those tests.
This article summarizes that review, validates the most important platform and pricing claims, analyzes the strengths and safety trade‑offs, and gives a practical playbook for developers and teams that want to use free AI coding tools without burning time or introducing risk.

Why the free tier still matters​

Free tiers are where most developers first experiment and learn how AI fits into their workflow. They offer:
  • A low‑risk way to prototype agentic workflows and automations.
  • A chance to evaluate model behavior on project‑specific code.
  • An affordable learning curve for individuals, hobbyists, and students.
But free tiers are intentionally constrained: vendors throttle compute, limit model access, and impose quotas to balance cost with scale. Those constraints change outputs — free, flash, or “mini” model variants often prioritize latency and cost over deep reasoning and cross‑file context. That explains why a free model that generates a helpful UI may still fail a multi‑tool automation that requires platform knowledge.
Two vendor facts worth locking down before we dive into the tool‑by‑tool analysis:
  • OpenAI continues to operate a freemium ChatGPT plan alongside paid tiers; ChatGPT Plus remains around $20/month while a higher‑capacity Pro tier is marketed at roughly $200/month for heavy professional use. These pricing tiers and their relative capabilities materially affect how long and how richly a user can run coding agents.
  • GitHub made a strategic change in late 2024 / early 2025 by launching a free GitHub Copilot tier in VS Code and other channels. The published free quotas are explicit: 2,000 code completions and 50 chat messages per month for Copilot Free. That tranche is designed for casual or exploratory usage rather than heavy production development.
Both vendor pages and neutral press reporting confirm these facts — they’re the market plumbing that explains performance differences between free and paid coding agents.

The free‑AI coding leaderboard (short version)​

According to the hands‑on review, three free chatbots reliably handled the majority of the tests:
  • Microsoft / GitHub Copilot (free tier) — passed 4/4 tests.
  • ChatGPT (free tier) — passed 3/4 tests; stumbled on the AppleScript/Keyboard Maestro challenge.
  • DeepSeek (free tier) — passed 3/4 tests but delivered multiple alternate implementations and failed the final macOS/AppleScript automation in a way that made selection harder.
Five other free assistants — Claude (free), Meta AI, Grok (XAI), Perplexity, and Google Gemini Flash — failed at least half of the tests and therefore weren’t recommended as sole sources for production‑grade code without heavy verification.
Those are the reviewer’s measured outcomes on a specific, repeatable suite — not a global judgment of model families or higher‑tier paid offerings. Paid “agent” products (Copilot Pro, Claude Code, Google Jules/Gemini Pro, OpenAI Codex/Codex agent etc. remain materially more capable and come with higher run‑time allowances. The rise of dedicated coding agents is unmistakable and explains part of the gulf between free and paid experience.

Deep dive: what each free assistant delivered​

Microsoft / GitHub Copilot (Free) — the most consistent free coder​

The review’s top performer was Copilot Free, which handled all four tests successfully on the reviewer’s first‑try runs. Copilot’s strengths are:
  • Tight IDE integration in VS Code and Visual Studio, which improves contextual awareness and multi‑file edits.
  • A deliberate pairing of model engines (OpenAI and Anthropic variants accessible through Copilot) that gives it flexibility.
  • A UI and flow designed around developer tasks (Edits, chat, multi‑file changes) rather than generic chat.
GitHub’s official documentation confirms Copilot Free’s quotas and supported models — and Microsoft’s Copilot investments continue to fold agentic behaviors and richer connectors into developer workflows. If you rely on VS Code, Copilot Free is the strongest free starting point for first‑pass code generation. Limitations and caution:
  • The free quota (2,000 completions / 50 chat messages per month) is modest; heavy users will hit limits fast.
  • Copilot’s outputs should still pass unit tests and static analysis; the assistant is a productivity multiplier, not a QA substitute.

ChatGPT (OpenAI) free tier — the dependable all‑rounder with one consistent tripwire​

ChatGPT’s free tier produced correct results in three of the four tests; it notably stumbled on a multi‑tool macOS/AppleScript automation where it emitted a non‑existent AppleScript function instead of using the platform’s actual strings API. The reviewer called out that the model could be corrected on follow‑ups but failed the first try criterion used for the test.
Why ChatGPT remains useful:
  • Broad knowledge and strong conversational debugging capabilities.
  • Excellent for exploratory debugging and rewriting isolated functions.
  • The freemium Plus/Pro pricing tiers (roughly $20 and $200/month respectively) materially increase throughput and model access for heavier coding workloads.
Caveat: free ChatGPT models often use flash/mini variants prioritizing cost and latency over nuanced, platform‑specific APIs, which can produce subtle but dangerous errors in first‑pass code.

DeepSeek — high capability, geopolitical baggage​

DeepSeek (the China‑based startup behind the DeepSeek‑V3 family) returned three correct results out of four in the reviewer’s testing. It produced robust UI generation and handled debug tasks well, but it tended to return multiple alternative implementations in some cases, forcing the developer to pick and validate rather than receiving a single verified solution. The final macOS automation test revealed both omission (ignoring Keyboard Maestro) and inefficient shell‑based workarounds.
Independent reporting corroborates DeepSeek’s rapid technical rise and the controversy around its cost and training claims; several reputable outlets documented both the company’s breakthroughs and the skepticism about some of its public technical claims. Those external reports are essential context if you consider using DeepSeek for organizational projects. Important governance note: DeepSeek’s rapid growth and lower pricing are attracting regulatory and security scrutiny; enterprises should perform legal, export, and supply‑chain due diligence before integrating it into sensitive pipelines.

Free chatbots to avoid relying on for coding without heavy oversight​

The reviewer identified five free assistants that failed at least half the tests: Claude (free Sonnet variant), Google Gemini Flash, Meta AI (free), Grok (auto mode), and Perplexity (free). Typical failure modes included:
  • Ignoring key parts of a multi‑tool prompt (e.g., Keyboard Maestro).
  • Generating non‑existent APIs or unnecessary process forks.
  • Producing UI elements without the functional wiring behind them.
Anthropic’s Claude remains a professional favorite in paid form (Claude Code and Sonnet 4.5 are targeted at enterprise customers), but the free variant tested here did not meet the reviewer’s “first‑try” standard. Recent model releases (Sonnet 4.5 / Claude 4.5) show material improvements for paid customers, however.

The macro trend: coding agents are changing the economics and the UX​

2025 made “coding agents” a mainstream product category. Google’s Jules is one visible example: Jules runs asynchronously in cloud VMs, clones repos, and executes tasks autonomously; Google offers a limited free introductory plan and paid tiers for sustained use. These agent products are designed to scale developer throughput in ways chat‑style assistants can’t. The arrival of agentic tools explains why paid tiers have grown more expensive — they consume more compute, orchestration, and developer safety engineering. For developers this means:
  • Free chatbots remain useful for quick snippets, debugging, and ideation.
  • Agentic paid products (Copilot Pro, Claude Code, Jules, OpenAI Codex Agent) are increasingly necessary for sustained production workflows, multi‑file changes, and building autonomous pipelines inside CI/CD.

Pricing and value verification (quick, verified facts)​

  • ChatGPT Plus: ~$20/month for expanded access; ChatGPT Pro: ~$200/month tier for heavier workloads and higher model access. OpenAI’s public pricing pages and multiple independent reports confirm this structure in 2025. These tiers materially increase available compute, model access, and rate limits compared with the free tier.
  • GitHub Copilot Free: 2,000 code completions and 50 chat messages per month, available in VS Code and other integrations. GitHub’s official blog and changelog entries document these quotas.
  • Google Jules: launched as an asynchronous coding agent, with free introductory caps (e.g., 15 tasks/day) and paid Google AI Pro/Ultra tiers for higher throughput; reporting from TechCrunch and Google’s Jules landing page confirm features and packaging. Jules is explicitly positioned as an agent that can clone repos and run autonomously.

Practical recommendations and a safe‑use checklist​

AI‑generated code must enter a validation pipeline. The following checklist is compact and actionable:
  • Add automated gates:
  • Unit tests and integration tests triggered automatically on AI‑generated PRs.
  • Static analysis and security scanners (SAST) as part of CI.
  • Code provenance:
  • Log model, model version, prompt, and timestamp in PR descriptions.
  • Prefer paid tiers or enterprise offerings when compliance / data governance is required.
  • Reject first‑try complacency:
  • Treat AI output as draft code — expect to iterate.
  • When an AI gives multiple versions, use a controlled A/B validation flow rather than blindly accepting one.
  • Mix and match tools:
  • Use Copilot for IDE‑centric, multi‑file edits; ChatGPT for exploratory debugging and design notes; reserve agentic tools (Jules, Copilot Pro, Claude Code) for asynchronous, larger workflows.
  • Governance and vendor‑risk review:
  • For external or sensitive code, confirm contractual data use (training) clauses and export/control constraints before choosing vendors like DeepSeek.
Use these steps as a minimum; many teams will want to add human code review checkpoints, security sign‑offs, and formal change approval processes for AI‑origin code.

Strengths, weaknesses, and the ethical/security dimension​

  • Strengths: Free assistants accelerate prototyping, help junior developers learn by example, and reduce time spent on boilerplate. Copilot Free’s tight editor integration and ChatGPT’s conversational debugging are genuinely helpful in day‑to‑day development.
  • Weaknesses: The free tiers frequently run flash models that trade depth for latency, which can cause subtle API misuse or platform misconceptions (e.g., invented functions, unnecessary shell forking, or ignoring included tools in the prompt). That makes them dangerous for unreviewed production commits.
  • Ethical and security risks:
  • Intellectual property: check vendor policies about whether user code may be used for model training.
  • Supply‑chain risk: integrating unvetted third‑party models can introduce compliance and export control concerns (especially with non‑US vendors).
  • Automation complacency: overreliance on free AI output increases the chance of pushing insecure or untested code into releases.
DeepSeek’s media coverage shows both technical promise and scrutiny over training/cost claims; organizations should not simply adopt a newer entrant without a full legal and security review.

How to get the most from free AI coding tools (practice patterns)​

  • Start small. Use free assistants to fill in boilerplate and generate test scaffolding, not to design core security logic.
  • Layer verification. Always run test suites and static security scans before reviewing or merging AI‑generated code.
  • Use multiple assistants for the same task. The review’s author explicitly recommended feeding one AI’s output into another for cross‑checking — a cheap but practical redundancy that helps catch hallucinations.
  • Log everything. Keep a history of the prompts and outputs associated with each commit to support forensic reviews.

Final assessment: three free winners — and what that means for developers​

The ZDNET hands‑on review is a useful, reproducible snapshot: GitHub Copilot Free, ChatGPT Free, and DeepSeek passed the majority of the chosen, developer‑centric tests. That doesn’t mean other free assistants lack value — many are superb for search, summarization, or non‑coding tasks — but if you need first‑pass, production‑adjacent code in a single try, those three are the best free starting points the reviewer found in mid‑2025.
Two important caveats:
  • This is a snapshot in a fast‑moving market. Agent upgrades, model updates, and vendor packaging can change outcomes quickly. The reviewer explicitly warns that results can shift with backend upgrades or model releases, so expect to re‑test periodically.
  • The presence of a free tier does not obviate the need for paid products for sustained, secure, and high‑throughput development. Agentic paid products exist for a reason — they provide higher model fidelity, better SLAs, and stronger governance.

Conclusion​

Free AI coding assistants are no longer novelty utilities; they are practical tools that can shave hours from routine tasks — but they are not substitutes for engineering discipline. Use Copilot Free or ChatGPT Free as your starting points for rapid experiments, consider DeepSeek if you need alternative model behavior and are prepared to handle extra governance, and reserve paid agentic offerings when you need scale, autonomy, and reliable first‑pass correctness.
Treat every AI output as draft work: protect your codebase with tests, scanners, and human review; record prompts and model versions; and avoid pushing AI code to production without those gates. That pragmatic balance — experimentation with rigorous validation — is how developers will get the productivity benefits of free AI without inheriting their failure modes.

Source: ZDNET The best free AI for coding in 2025 - only 3 make the cut now
 

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