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How to Connect Your Agents to Slack
Today I'll show you how to connect your agents to Slack. It's one of the first things you'll do when you start building agents: put them where your team works. One agent becomes two, two become five and suddenly any task that can be done by humans becomes
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How to Recursively Improve Your Agents
Today I'm going to show you how to recursively improve your agents. We'll build an agent that starts at 7/10, then run a recursive auto-improvement loop until every probe passes. Here's how it works: my coding agent reads the agent's instructions and mine
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Build an agent platform without writing a single line of code
The future is here, just not evenly distributed. Today I'll show you how to build your own agent platform without writing a single line of code. I know this sounds crazy, so I'll share videos along the way and encourage you to build along. All you need is
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FastAPI for Agents
FastAPI solved one of the biggest problems in software engineering: how to serve code as an API. That same problem is now the biggest gap in AI engineering: how to serve agents as an API. Building an agent today is simple. Pick a framework, tell your codi
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RL Tutor: an agent for learning post-training
This week Thinking Machines released Inkling, an open-weights model built for customization and available for fine-tuning through its Tinker API. I've wanted to learn how to fine-tune my own models for a while, and this felt like as good a time as any to
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Own Your Agent Stack
The market is finally catching up to a simple fact, that every company needs to own its agent stack. From model independence, to zdr and cost controls, the stakes are too high to let one vendor play all the roles. This has been our thesis from day one. Yo
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Image search using text classification
Agentic data labeling is one of those workhorse use-cases that keeps on delivering unexpected results. In this post, I'll show you how to build a working image search engine using agents that label images using search terms and then running search on thos
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Agent Platform That Builds Itself
Every team building agents ends up building an agent platform from scratch. Coding agents can do all of that work now. Today I'll share how to build an agent platform built, managed and improved entirely by coding agents. The entire agent development life
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Auto-Improving Software
Coding agents have changed how we build software. Now they're changing how we improve it. Today I'll share an agent platform that coding agents build, run, and improve on their own. The entire platform is managed using five prompts: Create. Scaffolds a ne
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Context Providers
In 1973, Doug McIlroy added pipes to Unix. The idea was small. Each program reads stdin, writes stdout, and the shell composes them. The shell didn't know what grep or awk did. It just wired them together. Fifty years later we still type grep awk sort wit
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