CODING AGENTS

A SCAM 2026 study of 100 top-starred repos catalogs six configuration smells in AGENTS.md and CLAUDE.md files: Lint Leakage in 62%, Context Bloat in 42%, Skill Leakage in 35%. Only 9 of 100 files were smell-free.

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.

A Microsoft field study found that CLI coding-agent adoption spreads through peers and managers, while adopters merged roughly 24% more pull requests. The lesson is not to buy more seats. It is to instrument rollout, retention, cost, and review quality from day one.

xAI's Grok 4.5 ships at $2/$6 per million tokens with 80 TPS speeds, a 500k context window, and benchmark results that put it in the Opus and GPT 5.5 tier. What actually shipped, how the pricing compares, and when it makes sense over Claude, GPT, or Gemini.

The world's most famous mathematician used AI coding agents to revive 25-year-old Java applets and build new visualization tools. His observations on risk, quality, and trust are worth reading.

Lilian Weng argues self-improving AI won't start with models rewriting their weights - it starts with the harness. Here's what that means for developers building agents.

Factory.ai shipped a router that auto-picks the model for each Droid session and fails over across providers. The vendor claims 20-25% lower token spend and 99.9%+ request reliability. Here is what the product actually does, which claims are vendor claims, and whether a router beats DIY routing for your team.

Factory AI's Droid agent surfaces a new competitive front in coding tools: cost-per-completed-task. Here's what their architecture reveals about where the whole industry is heading.

Factory Droid is a terminal-native AI coding agent with multi-model routing, headless CI execution, and browser automation built in. Here is everything you need to know to set it up and decide if it fits your workflow.

Microsoft's new in-house coding model matters less as a benchmark headline and more as a signal that Copilot is becoming a routing layer for cost, latency, ownership, and review quality.

Claude Code 2.1.128 is full of small fixes around MCP, worktrees, OTEL, plugins, and permissions. That is exactly why it matters for teams running agents every day.

GitHub's Copilot cloud agent updates are not just about autonomous coding. The bigger shift is usage metrics, session visibility, validation, and review quality.

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.