GitHub Copilot
AI pair programmer that suggests code completions
3 members list GitHub Copilot, up 1 in the last 12 weeks, data as of 25 October 2026
Used alongside GitHub Copilot
Tools that members list in the same stack as GitHub Copilot.
Members who list GitHub Copilot in their Stack, by week.
Hacker News mentions: 7 mentions (2021) to 419 mentions (2026)
Imported from Hacker News mentions
Homebrew analytics installs: 18,225 installs (2026) to 221 installs (2026)
Imported from Homebrew analytics
Stack Exchange data explorer questions asked: 5 questions (2021) to 2 questions (2026)
Imported from Stack Exchange data explorer
Stack Overflow developer survey usage share: 85.23 % of respondents (2023) to 42.81 % of respondents (2024)
Imported from Stack Overflow developer survey
Wikipedia pageviews: 8,154 views (2021) to 9,285 views (2026)
Imported from Wikipedia pageviews
About GitHub Copilot
GitHub Copilot is an AI tool that provides code suggestions and completions to developers as they work. It operates throughout the development workflow, from writing code in editors to reviewing pull requests. The tool functions across multiple environments including code editors, terminal applications, desktop clients, and GitHub itself. It integrates with various development platforms and supports connection to external tools through its MCP registry. Developers can choose from different language models optimized for different priorities such as speed, accuracy, or cost. GitHub Copilot also includes features for code review and command-line operations.
The tool is developed by OpenAI and runs on Linux, Microsoft Windows, and macOS. GitHub offers both individual and enterprise plans for the tool, with pricing and plan details available on their website. The service includes comprehensive documentation and customer support options for users across different team sizes and use cases.
Checked 23 October 2026.
Posts about GitHub Copilot
- AI code review bottleneck: Postgres 19's reverts and a 718-firm study, the October 2026 numbers
Agents raised pull requests 23% across 718 firms, but time to merge rose 49% and resolved issues stayed flat. Postgres 19 reverted 8 to 10 features.
- Agent Skills joins the Agentic AI Foundation: what the open standard changes, and what a skill still leaves behind
Anthropic gave Agent Skills to the Agentic AI Foundation on 22 October 2026. The six-field SKILL.md format is unchanged; hooks and MCP wiring still don't port.
- How much do developers spend on AI coding tools per month? October 2026 numbers
In a 27-company sample from October 2026, AI spend ran from a $150 cap to over $3,000 per developer a month; 12 companies spent $1,000 or more.