Coding Tools
GitHub Copilot Enhances Code Review with AGENTS.md
GitHub Changeloghigh confidence
Why it matters
- →AGENTS.md support allows for more tailored and relevant code reviews.
- →The Request button streamlines the workflow for developers using Copilot.
- →These updates enhance the efficiency of the code review process.
GitHub has updated its Copilot code review feature to support AGENTS.md files at the repository level. This allows Copilot to use specific instructions from these files to generate more context-aware feedback during code reviews. The update also introduces a Request button for draft pull requests, making it easier to request Copilot's review without additional steps. These changes are designed to improve the efficiency and relevance of code reviews by aligning them with the repository's conventions.
Read originalThe story around this
Earlier coverage that leads up to this article, and what followed. Lines connect each piece to the closest one after it, converging here.
How we got here
- 1GitHub Copilot Enhances Code Review with New Features
GitHub Changelog · June 2, 2026 · Same story
What happened next
- 2GitHub Copilot Enhances Code Review with Agent Skills
GitHub Changelog · July 29, 2026 · Same story
Follow this story
Open the full story →More in Coding Tools
Coding Toolscoding
Claude Code v2.1.316: Subagents and Gateway Budgets
Anthropic is tightening control over Claude Code's autonomous behavior with new environment variables that let you disable 'ultrathink' or cap subagent effort levels. For teams, the introduction of pooled group budgets on the gateway allows shared monthly spending limits across members, a practical fix for enterprise cost management. The release also patches critical bugs where shell commands would hang or crash on exit, stabilizing the developer experience significantly.
Claude Code Releases
Coding Toolscoding
llama.cpp b12022 adds ROCm 10 and Snapdragon support
This release quietly cements llama.cpp as the universal inference runtime by finally bringing ROCm 10.0 to Linux and Windows alongside CUDA 13.4, effectively closing the hardware gap for AMD users who were previously left behind. The inclusion of native Snapdragon support on Linux marks a significant step toward running local LLMs on ARM-based mobile chips without emulation overhead. While KleidiAI on Apple Silicon is disabled in this build, the broader expansion to diverse accelerators ensures that developers aren't locked into NVIDIA ecosystems anymore.