github-copilot

Microsoft has restricted internal employee access to Anthropic's newly released Claude Fable 5 model while its legal teams evaluate the company's new data retention requirements. The model requires storing prompts and outputs for 30 days to operate safety classifiers, with some content potentially retained for up to two years if flagged for policy violations.

Microsoft announced two new language models: MAI-Thinking-1, a 35B parameter reasoning model available to select early partners, and MAI-Code-1-Flash, a 5B parameter coding model rolling out to GitHub Copilot individual users in VS Code. Both models were trained on commercially licensed data without distillation from third-party models.

Microsoft announced two proprietary AI models at its Build developer conference: MAI-Code-1 for code generation and MAI-Thinking-1 for reasoning tasks. The models are designed to run on Azure infrastructure, allowing Microsoft to reduce costs from its $13 billion OpenAI investment while competing directly with Anthropic and Google.

GitHub has added Rubber Duck to Copilot CLI, a feature that provides alternative suggestions by consulting different AI model families. The feature lets developers get a second opinion on code suggestions directly from the command line.

GitHub has added a feature called Rubber Duck to Copilot CLI that queries multiple AI model families to provide alternative perspectives on code suggestions. The feature acts as a second opinion mechanism, allowing developers to compare recommendations from different model architectures.

OpenAI is replacing per-seat licensing with usage-based pricing for Codex in ChatGPT Business and Enterprise plans, eliminating upfront license costs. Eligible Business customers can claim up to $500 in promotional credit per workspace. The shift targets enterprises where coding tools typically expand from individual developers to full teams, positioning OpenAI against GitHub Copilot and Cursor.

GitHub's Applied Science team deployed coding agents to automate parts of their own development workflow, testing how AI agents can handle increasingly complex programming tasks. The experiment reveals practical insights into agent-driven development patterns and limitations.

OpenAI has released GPT-5.4 mini, the lightweight variant of its agentic coding model GPT-5.4, in GitHub Copilot. The model represents OpenAI's highest-performing mini offering to date for code generation and completion tasks.

GitHub has released the Copilot SDK, positioning executable agent workflows as the successor to prompt-based AI interactions. The SDK enables developers to integrate agentic AI capabilities directly into applications rather than relying on text-based prompt-response patterns.

OpenAI's GPT-5.4, an agentic coding model, is now generally available in GitHub Copilot. The model was tested on real-world software development scenarios and demonstrated improved coding capabilities.

GitHub Copilot has reached 60 million code reviews, marking significant adoption of AI-assisted code review workflows. The milestone reflects growing reliance on AI to manage review backlogs as development velocity increases across organizations.

GitHub has published a hands-on guide demonstrating how developers can use GitHub Copilot CLI to move from initial intent through to creating reviewable pull requests. The guide shows how CLI-based development naturally integrates with IDE workflows and GitHub's collaborative tools.

GitHub has expanded its Copilot coding agent with five major features: a model picker for agent selection, self-review functionality, built-in security scanning, custom agent creation, and CLI handoff integration.

GitHub has added a model picker feature to Copilot's autonomous coding agent for Business and Enterprise tier users. The feature allows teams to select which AI model powers the asynchronous background agent that handles delegated development tasks.

GitHub deprecated selected Anthropic and OpenAI models across all Copilot experiences on February 17, 2026. The deprecation affects Copilot Chat, inline edits, ask mode, agent mode, and code completions. Specific model names and transition timelines were not disclosed in the initial announcement.

Google's Gemini 3.1 Pro, an agentic coding model optimized for autonomous development workflows, is now available in public preview within GitHub Copilot. The model emphasizes efficient edit-then-test loops and tool use in early testing.