GitHub Copilot
The most widely adopted AI pair programmer, native to GitHub
Overview
GitHub Copilot is GitHub's AI coding assistant: unlimited inline completions plus chat and agent mode across VS Code, JetBrains and other major IDEs. Since June 2026, chat, agents and code review bill through metered AI Credits (1 credit = $0.01); Pro is $10/month with 1,500 credits included.
Pricing
Pricing shown for reference only. These figures reflect RECATOOLS research as of 11 Jul 2026 and may be out of date or incomplete. This is not financial or purchasing advice — always confirm the current price on the provider’s official website before making any decision.
- Limited completions and chat
- No card required
- $10 in monthly AI Credits
- Free unlimited code completions
- Agent mode and chat draw on credits
- $39 in monthly AI Credits
- Access to all models
- Largest monthly AI Credit pool
- Priority access to new models
- $19 in monthly AI Credits per seat
- Org-wide policy management
- Knowledge bases and fine-grained controls
- Highest per-seat credit allowance
Use cases
What you can produce with GitHub Copilot
- Complete a boilerplate REST API endpoint (CRUD + validation) in minutes by accepting inline autocomplete suggestions, without writing repetitive scaffolding by hand
- Generate a comprehensive unit test suite for an existing function or module, including edge cases and mock setups, from a single prompt in the chat panel
- Scaffold an entire new file (class, service, or React component) based on surrounding project context, matching the codebase's naming and style conventions
- Receive multi-step refactoring suggestions for legacy code — renaming variables, extracting functions, and reducing duplication — across a single file with one Copilot Edit command
- Get inline documentation and docstring generation for undocumented functions, producing JSDoc, Python docstrings, or XML comments ready for publishing
- Prototype a working script or CLI tool in an unfamiliar language or framework by letting Copilot fill in syntax and idioms while the developer focuses on logic
- Catch and fix common security antipatterns (SQL concatenation, hardcoded credentials) via Copilot's code review agent surfacing inline warnings during a pull request
ASEAN Perspective
GitHub Copilot in Southeast Asia
ASEAN-region availability and pricing notes coming soon. Drop the editorial team a note via /contact/ if you can supply local context (Singapore/Malaysia/Indonesia/Thailand/Vietnam).
For teams already on GitHub, Copilot remains the lowest-friction AI coding assistant: inline completions, chat, multi-file edits and an agent mode, native in VS Code, JetBrains and GitHub itself, with a choice of GPT, Claude and Gemini models. Reviewers still rate it highly — 4.5/5 on G2. The picture changed in June 2026 when billing moved to metered AI Credits: completions stay unlimited, but chat, agents and code review draw down a monthly allowance, and heavy agent use can exhaust it fast, so budget on real usage rather than the sticker price. It's also no longer the cutting edge — Cursor and Claude-based agents set the pace on autonomous coding — and a March 2026 incident that injected promotional tips into users' pull requests dented goodwill. A safe, capable, well-documented default for GitHub-centric teams.
What people say
June 1, 2026 changed the Copilot conversation. GitHub swapped flat-rate Premium Requests for usage-metered AI Credits (1 credit = $0.01): Pro at $10/month now includes 1,500 credits, Pro+ at $39 gets 7,000, and chat, agent workflows and Copilot code review all draw from the pot — code review at a 13x multiplier, Claude Opus-class models at 27x for legacy annual subscribers. The community discussion protesting the change collected over 900 downvotes, some developers reported burning a month's credits in hours of agent use, and trade press called it bill shock. Inline completions, at least, remain unlimited on every paid plan.
That controversy lands on a product reviewers still rate well: 4.5/5 on G2 across 227 reviews with no one-star ratings, on the strength of frictionless IDE integration (VS Code, JetBrains, Visual Studio, Neovim), fast boilerplate and test generation, and multi-model choice spanning GPT, Claude and Gemini. Agent mode handles multi-step tasks competently, though users grumble it's credit-hungry, and weak context awareness on large codebases remains the top capability complaint.
Trust took a separate hit in March 2026 when Copilot injected promotional 'agent tips' into pull-request descriptions as if developers had written them — a Raycast ad alone appeared in over 11,400 PRs, with about 1.5 million PRs affected across all tip types. GitHub killed the feature within days after loud backlash. Copilot is still the lowest-friction default for teams already on GitHub; it's just no longer the obvious best value for agent-heavy workflows, where Cursor and Claude-based tools now set the pace.
Summary of public user & expert reviews, compiled by RECATOOLS.
Notable facts
- GitHub Copilot was trained on billions of lines of public code from GitHub repositories, making it one of the largest code-trained models ever deployed.
- In a controlled study, developers using Copilot completed coding tasks 55% faster than those without it.
- GitHub Copilot was the first mainstream AI pair programmer — it launched 18 months before ChatGPT made the category famous.
Frequently asked questions
About this listing
This entry was compiled from publicly available data including GitHub Copilot's official website, press releases, documentation, and reputable third-party publications. RECATOOLS is not affiliated with GitHub Copilot unless explicitly stated.
Third-party AI tools update their pricing, features, availability, and policies frequently. Information here may be outdated by the time you read this — we make reasonable efforts to keep listings current, but cannot guarantee absolute accuracy.
For the latest details, please refer to GitHub Copilot directly →
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