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Anthropic just accidentally taught you how to build the best AI agent harness.
Here's everything inside Claude Code's source code and how you can use it to build something smarter.
Not a teardown. A blueprint.
Claude Code isn't a chat wrapper. It's a 55-directory, 331-module agent operating system.
Here's what's actually powering it:
Got it. Here's every section rewritten:
The Core Loop:
>The entire agent runs as a single async generator.
>Every event - model output, tool calls, errors - streams live instantly.
>The UI renders character by character, not after 30 seconds of silence.
>You can abort it, pause it, or nest it inside a subagent. Build yours the same way. Use async generators. Full stop.
Tool Execution:
>Claude Code doesn't wait for the model to finish streaming.
>The moment a tool's input arrives mid-stream, execution begins.
>That's 2-5 seconds of hidden latency saved every single turn.
>Read-only tools like Glob and Grep run in parallel. >Write tools like Bash and Edit run serially - no race conditions.
>Speed of parallelism. Safety of serial execution. Both at once.
Context Management:
>Most harnesses truncate old messages and call it a day.
>Claude Code runs four compaction strategies in order of cost.
>Micro compact caches tool results that haven't changed - runs every turn.
>Snip trims old messages while protecting the most recent context.
>Auto Compact summarises prior conversation when snip isn't enough.
>Context Collapse does staged compression for the longest sessions.
>Cheapest strategy runs first. Most expensive only fires when nothing else works.
Prompt Engineering:
>The system prompt is 577+ lines, but the structure is the point.
>Everything before the dynamic boundary is cached globally across all users.
>Everything after is cached per session or recomputed per turn.
>~80% of every API call hits the prompt cache before new tokens are processed.
>CLAUDE.md loads in four levels — enterprise, user, project, local.
>Each tool generates its own description based on the live environment.
>The model never gets generic instructions. Only context-specific ones.
The Permission System:
>Before any tool executes, it runs through a 7-stage pipeline.
>Input validation. Deny rules. Allow rules. Tool-specific checks.
>Then hooks, an ML classifier, and finally a user prompt.
>Rules use glob-like patterns - Bash(git *) allows all git commands.
>Enterprise admins can enforce blocks. Project maintainers can set rules.
>Users can write shell scripts for cases the engine can't handle. Not a toggle.
>A rule engine with progressive trust built in.
Error Recovery:
>The retry system is 823 lines of production-hardened code.
>Rate limited? It checks the Retry-After header before doing anything.
>Under 20 seconds? Stay fast. Over 20? Enter 30-minute cooldown.
>Three consecutive 529s? Trigger a model fallback automatically.
>Context overflow? Recalculate token budget and retry inline - no crash.
>For CI/CD sessions, it retries indefinitely with a 5-minute max backoff.
>A 30-second heartbeat prevents idle kills during long unattended runs.
>Error recovery is not a wrapper around the loop. It is the loop.
Extensibility:
>Skills are markdown files that inject prompts and restrict tool access.
>Hooks are shell scripts that fire on events like PreToolUse or PostToolUse.
>MCP servers provide external tools over a protocol, six transports supported.
>Plugins bundle all three into a single installable directory.
>None of these require a single line of source code to change.
>You extend the system by dropping files in. That's the whole model.
The lesson isn't "look what Anthropic built."
The lesson is: every one of these principles is yours to use right now.
>Async generators for your loop.
>Streaming tool execution.
>A layered compaction hierarchy.
>A permission rule engine, not a toggle.
>A system prompt designed around the cache boundary.
That's what separates a demo from a production harness.
That's the full breakdown.
You can now enable Claude to use your computer to complete tasks.
It opens your apps, navigates your browser, fills in spreadsheets—anything you'd do sitting at your desk.
Research preview in Claude Cowork and Claude Code, macOS only.
Once we start seeing which breakthru in so many more areas of life, AI will be embraced as common good technology easily by us all.
It will be same for jobs, we will have superior and more enriching jobs for masses too.
Wonderful to speak with my dear friend President Trump today. Delighted that Made in India products will now have a reduced tariff of 18%. Big thanks to President Trump on behalf of the 1.4 billion people of India for this wonderful announcement.
When two large economies and the world’s largest democracies work together, it benefits our people and unlocks immense opportunities for mutually beneficial cooperation.
President Trump’s leadership is vital for global peace, stability, and prosperity. India fully supports his efforts for peace.
I look forward to working closely with him to take our partnership to unprecedented heights.
@POTUS@realDonaldTrump
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This is Kundli–Manesar–Palwal (KMP Expressway)
Total cost- 10,000 crore
Toll fee- Rs 1.35/km
And look at the condition –
Potholes so huge that three cars’ tyres burst within just 10 minutes.
Is any govt department paying for these damages?