LangGraph + DSPy + GEPA: Agentic Researcher with multi-stage prompt optimization
Build an agentic research system with GEPA prompt optimization at every step
A Collection of Thoughts
Build an agentic research system with GEPA prompt optimization at every step
Evolving an NL → SQL Generator with DSPy + GEPA (no labels required)
Build an LLM that self‑corrects instead of 'RAG and pray.'
Most “privacy filters” are vibes. They look redacted… until an email or phone number slips through in production.
A technical deep dive into DSPy, Stanford's framework for programming—not prompting—language models. Learn how to build reliable AI systems with signatures, modules, and optimizers through practical code examples including classification, chain-of-thought reasoning, RAG, and multi-step agents.
Specification for a new Claude Code feature I call Lighthouse that makes large codebase edits transparent and safe: the agent states intent in a Change Contract, shows blast radius via an Impact Map, and executes work in Checkpoints with snapshots and one‑click rollbacks.
For anyone wanting to try OpenAI's real-time API, I created a repository that provides a minimal Rust implementation, enabling bidirectional voice conversations through WebSocket connections. The implementation handles real-time audio streaming, automatic speech detection, and live transcription display.
Your operating system is holding you back, and you probably don't even know it. Whether you're trapped in Apple's ecosystem, suffering through Windows' bloatware, or settling for Ubuntu's safe mediocrity, you're missing out on what computing in 2025 should actually feel like. DHH's Omarchy made me realize we've all been expecting far too little from our machines. If I'm going to start a blog, I might as well begin with the revolution that made me give a damn about my OS again.