Coding Tools
GitHub Expands Copilot Cloud Agent Model Options
GitHub Changeloghigh confidence
Why it matters
- →Developers can now choose models that better fit their task requirements, optimizing efficiency and cost.
- →The introduction of faster models can significantly speed up simple tasks, improving overall productivity.
- →This update reflects a trend towards more customizable AI tools in development environments.
GitHub has announced an expansion of its Copilot cloud agent's model options, introducing faster and more cost-efficient models. The new additions, Claude Haiku 4.5 and GPT-5.4-mini, offer a 0.33x multiplier, allowing users to select models based on task complexity. This update enables developers to optimize their workflow by choosing the most suitable model for each task, enhancing both speed and cost-effectiveness. The move reflects GitHub's ongoing efforts to tailor AI tools to the varied needs of developers.
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
- 1Copilot Cloud Agent Adds Auto Model Selection
GitHub Changelog · May 14, 2026 · Same story
What happened next
- 2
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.