A hands-on introduction to Flue, an experimental TypeScript framework for building server-side LLM agents. Covers the agent/harness/session model, three working examples from a simple translator to a container-backed coding agent, and an honest look at the trade-offs — so you can decide whether Flue fits your stack before you commit. Table of Contents You’ve decided […]
Read More →Your agentic app just ran a search. The tool returned 500 results as JSON. Your agent appended all of it and fired off an API call — 45,000 tokens to answer a question that needed maybe 4,500. Tejas Manohar, a senior engineer at Netflix, hit this problem every day. He was running out of tokens […]
Read More →If you’ve been using AI coding tools long enough, you’ve probably noticed that they all start to feel the same. Cursor, Claude Code, Codex, Amp — they’re converging on a set of common features: plan modes, permission popups, sub-agents, MCP integration, to-do tracking. More surface area, more abstraction, more decisions made for you. Pi bets against […]
Read More →If you take one thing from Claude Code, make it this: Explore → Plan → Code → Commit. The developers who skip straight to “write me the code,” then spend the next hour arguing with the output. This workflow exists to prevent that. Explore Before writing a single line, Claude needs context. Without it, you get […]
Read More →Forward Deployed Engineer (FDE) is the most in-demand technical role in AI right now. Not because of the title, because of the problem it solves. AI research labs are shipping capabilities faster than enterprises can absorb them. The gap between what is technically possible and what is actually running in production is enormous, and closing […]
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