Why We Built AI in a Shell Around Concepts, Not Just Chat
AI can help you move faster, but it can also make you lose the plot. The answer is not less AI. It is a learning loop where the human still reasons.
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Articles on AI workflows, MCP patterns, and what we have learned building Synapse.
The thing your AI agent is missing isn't a better model
I kept upgrading the model when my agent failed. Turns out I was solving the wrong problem. Here's what a harness is and why architecture beats model quality.
Your AI Agent Has a Brain. Does It Have Hands?
Most agent failures aren't model failures — they're harness failures. Here's what an agent harness is, why it matters, and how to stop over-engineering it.
Read moreWebMCP: Websites can now talk directly to AI agents
AI agents are terrible at browsing websites. WebMCP lets sites declare what an agent can do on a page — turning messy scraping into precise tool calls.
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The missing piece for AI coding agents: Vercel's agent-browser
AI agents can write code and run tests, but they can't see the website. Vercel's agent-browser finally closes the feedback loop.
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Synapse is your AI systems mentor.
It asks the kind of questions senior engineers do, sketches diagrams with you, and forces you to defend every architectural choice so your ideas are ready for interviews or production reviews.