Christian, Father of Evelyn, Wife to Bonnie, @GoogleDevExpert, building hashbrown.dev at @liveloveappdev, he/him.

Joined September 2008
275 Photos and videos
Build LangGraph agents like Next.js apps.
dawn 0.2.0 is live. the whole bet: capabilities are files, not wiring. drop a plan.md and the agent gets a planner. add a skills/ dir and it can load them on demand. a subagent is a folder. the filesystem is the structure of your agents
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dawn 0.2.0 is live. the whole bet: capabilities are files, not wiring. drop a plan.md and the agent gets a planner. add a skills/ dir and it can load them on demand. a subagent is a folder. the filesystem is the structure. npm create dawn-ai-app@latest
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The @dawnframework dev server is optimized and ready for you to check out.
that `tools/` maze is the swamp exactly 😅 two speeds: signature/schema edits are a ~100ms debounced typegen, no restart. adding a subagent is structural so the route child reloads, but the parent keeps the server up and assistant ids stay stable, so clients never reconnect
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This is exciting!
Generative UI has just gone beyond traditional web. ✨ We got it working in Slack, Teams, Google Chat, Discord, and beyond. Going live tomorrow to walk through our challenges and how we got around them. If this is something you need, we'd love to hear from you. We are opening early access today. Early access form 👉 go.copilotkit.ai/beyond-the-… Register for the event 👉 luma.com/copilo-61s7
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I spent four months building a @LangChain agent for pilots - an orchestrator agent that delegated to research subagents, each grounded by RAG. The architecture was right. The retrieval was right. The codebase was a swamp. Here is the story.
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You author agents as filesystem routes. Dawn discovers them, generates types, runs a local dev server, and emits a langgraph.json package that LangSmith can deploy. You stop hand-writing the graph wiring and start writing the parts that are actually about your product.
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