An Ex-Meta L8's Agentic Engineering Setup
TLDR Dev
Kun Chen, a former Meta principal engineer, shares his complete workflow for using AI agents to dramatically increase engineering productivity, demonstrating how he now ships 30+ pull requests regularly by delegating coding tasks to agents while he focuses on architectural decisions and quality assessment. His setup combines WezTerm, Neovim, tmux, Claude Code, and voice input via OpenSuperWhisper, with careful prompt engineering that emphasizes outcomes over actions and includes detailed rationale. The shift from writing code himself to managing agents like an engineering manager has changed his approach to delegation, planning, and feedback loops, treating agents as team members rather than tools.
Why it matters
After years of experience driving agent adoption in engineering organizations, switching to a solo approach has improved productivity by refining workflows and embracing agents, ultimately allowing for less hands-on coding and more strategic management of the development process. This includes having a clear planning structure, using voice input, and using custom tools to remove friction and enable parallel task management.
