CODING AGENTS

How to set up Entire's regional Git mirrors for AI coding agents. Covers installation, mirroring, integrations with Claude Code, Codex, Cursor, and Factory AI.

Microsoft's CLI coding agent study: adoption spread through peers and adopters merged about 24% more PRs. The rollout metrics teams should track from day one.

Grok 4.5 for developers - $2/$6 per million tokens, a 500k context window, vendor benchmarks with caveats, and when to pick it over Claude, GPT, or Gemini.

Terry Tao on coding agents: how he ported two dozen 1999 Java math applets to JavaScript in hours, built new visualization tools, and weighs risk and trust.

Harness engineering is where self-improving AI starts, Lilian Weng argues, not models rewriting their weights. What that means for developers building agents.

Factory Router explained: automatic model routing and failover for Droid sessions, which spend and reliability claims are vendor claims, and router vs DIY.

Factory AI's Droid lets you pick a model per task and per subagent. What its routing, BYOK and open-weight tiers reveal about cutting coding agent costs.

Factory Droid review and setup: a terminal-native AI coding agent with multi-model routing, headless CI and browser automation, and if it fits your workflow.

MAI-Code-1-Flash, Microsoft's in-house coding model, signals Copilot becoming a routing layer for cost, latency, and review quality. A routing matrix to steal.

Claude Code 2.1.128 is an ops release: fixes for MCP, worktrees, OTEL, plugins and permissions that matter for teams running coding agents every day.

GitHub Copilot cloud agent updates add usage metrics, session visibility, validation and review quality - the layer teams need to manage agent adoption.

GitHub Copilot is moving from autocomplete into asynchronous coding agents, terminal workflows, MCP, skills, and model choice. Here is what changed in 2026.

GPT-5.5-Codex merges Codex and GPT-5 stacks. Here is what the unified model means for real coding agents - latency, costs, prompt rewrites.

Multica is pushing the agent teammate pattern: assign issues, route work to local runtimes, stream progress, and compound skills. Here is the practical read for AI dev teams.