@dsebban
Building AI developer tools, context engineering systems, and agent workflows.
Recently updated work from this developer
OMP-native pstack and orchestration skills for multi-agent coding workflows
AI agent toolkit: unified LLM API, agent loop, TUI, coding agent CLI
Scale computer-use 2.0 with open-source drivers, cross-OS fleets, and benchmarks for training, evaluation, and data generation.
Custom GeForce Now Client Named OpenNOW
Community edition of RepoPrompt: a native macOS context engineering app for AI coding agents, with an MCP CLI.
What are the principles we can use to build LLM-powered software that is actually good enough to put in the hands of production customers?