A cloud-native, agent-driven bootstrap and development lifecycle for one-person product teams.
Currently at: Version 7.1
AI coding tools got good enough to replace a junior developer. They didn't get good enough to replace a process with standards and checks.
Solo builders using Claude Code, Cursor, or Copilot still face the same failure models: jumping straight from idea to code. No architecture review catches the bad schema decision. No QA pass catches the missing auth check. No deployment runbook exists when the production database migration fails at 11pm. The AI writes code faster, but the code isn't better — because speed without structure makes bad code.
The instruments exist, but solo builders need to become the conductor.
Struggling with deve environmenet divergence? Lost context windows? Failed tests you called out at the beginning of your sessions? Mismatched tech stack?
SOLO SDLC is a complete software development lifecycle (SDLC) playbook and bootstrap that creates the team roles a solo builder doesn't have — PM, architect, planner, QA, DevOps — with Claude agents that produce real artifacts, enforce quality gates, and deploy code through an automated pipeline.
The SDLC starts with six phases. Each has a dedicated AI agent, a specific output, and a gate that must pass before work advances. Artifacts live in your repo alongside the code they describe. The entire system runs with zero local setup, deploys through the cloud, and stores data there too.
My guide covers everything: the process design, the human setup, the agent prompts, the Claude Code skills and subagent files, an orchestrator that manages the pipeline, and an optimization guide for when the system needs tuning at scale. That's basically an entire product and engineering department ready to go.
You build web products on your own. You're comfortable with TypeScript and React. You use AI tools daily but find yourself fixing the same types of mistakes — missed edge cases, inconsistent patterns, features that work in dev but break in production. Failed deployments.
You want to produce good code and good systems over time.
You want benefits of a structured process without the 10-person team.
You want AI agents that do real work — not chat assistants that get confused.
You want to orchestrate agents that architect systems, generate build plans, run QA reviews, and deploy your code while you review and approve.
You're willing to spend 60 minutes setting up proper infrastructure in exchange for a system that scales from your first feature to your fiftieth.
Since this SDLC is cloud-native, all development eliminates environment drift. Code that works on your laptop but breaks in CI is a solved problem when your laptop is CI. Cloud-native apps make the entire stack browser-accessible with no local tooling required.