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A former Meta L8 engineer shares his end-to-end agentic workflow, from terminal setup to prompt strategies. He outlines the tools (WezTerm, tmux, Neovim, Claude Code/OpenCode), voice input, and delegation techniques that let him manage AI agents like a dev team.
- A former Meta L8 produces 30+ high-quality PRs in a single day by managing AI agents instead of writing code himself
- His entire workflow runs in a terminal (WezTerm + tmux + Neovim) using Claude Code for Anthropic models and OpenCode for everything else, avoiding vendor lock-in features like auto-memory
- He pairs local, offline speech recognition with terminal prompts to iterate faster, treating each prompt like a spec refined against a "golden set" of expected outputs
- He's built custom CLI tools to automate context loading, versioning, and error handling so prompts plug into a repeatable pipeline
Garry Tan introduces gstack, a toolset designed to streamline software development using AI. By simulating a team of specialized roles, it enables solo developers to ship code faster and more efficiently. The article outlines its features and how it transforms the development process.
- Garry Tan claims he shipped 600,000+ lines of code in 60 days while running Y Combinator, using this workflow
- gstack packages 15 Claude Code tools that simulate a full team (CEO, Designer, Eng Manager, Release Manager, Doc Engineer, QA) so one person can run a solo "software factory"
- The toolset is open-source and installable, giving solo developers a structured command-based workflow from planning through shipping
Boris Cherny shares his efficient setup for using Claude Code, highlighting the importance of customized workflows and verification processes. He details various strategies, such as running multiple sessions in parallel, using slash commands, and maintaining a shared repository for continuous improvement.
- Runs multiple Claude Code sessions in parallel across different git worktrees/branches to multiply throughput
- Relies heavily on custom slash commands to encode repeatable workflows instead of retyping instructions
- Emphasizes verification steps (tests, linting, review) as essential since Claude output isn't blindly trusted
- Maintains a shared team repo of prompts/commands so improvements to the workflow compound across the team