A single AI agent loses context after a few hours. Three specialized agents — a planner, a generator, and an evaluator — hand off structured artifacts and keep going. Anthropic’s three-agent harness changes how autonomous coding works, and .NET developers should pay attention.
Andrej Karpathy dropped a GitHub Gist that got 5,000+ stars in days. Not a framework. Not a library. An idea file. Here’s what the LLM Wiki pattern is, why it’s different from RAG, and what it means for developers who use AI agents daily.
Claude Code can now control your screen — opening apps, clicking through UI, taking screenshots. No Playwright setup, no test harness. Just tell Claude what to check and watch it work. Here’s how Computer Use works and why it matters for .NET developers.
Claude Code can now run prompts on a schedule — from quick polling in a session to fully autonomous cloud tasks that run while your laptop is closed. Three scheduling options, one goal: automate the work you keep forgetting to do.
Opus 4.6 is now the default model in Claude Code. With 1M tokens of context and an 80.8% SWE-bench score, it’s the biggest single-generation jump yet. Here’s what changes for .NET developers.
Every Claude Code user knows the drill: approve the file edit, approve the build command, approve the test run. Auto Mode replaces that click-fest with a background safety classifier — so you can actually focus on building.
You’re deep in a feature branch. An urgent bug comes in. Instead of stashing, switching, and losing your flow — you open a second directory and keep going. Git worktrees make this possible, and Claude Code makes it powerful.
I write less code than ever. And yet I’m more productive. The question is no longer ‘how do I implement this?’ but ‘what should be built here and why?’
One Claude Code session is powerful. Two or three running simultaneously, each focused on a different part of your solution? That’s a multiplier.
Claude Code is powerful on its own. But when you split the work across specialized sub-agents — a test writer, a reviewer, a documentation agent — it becomes a team.