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Intake is an open-source CLI that ingests requirements from any format (Jira, PDFs, Confluence, images, Markdown, YAML...), analyzes them with AI, and generates executable specs that any coding agent can use. Multi-source. Model-agnostic. Verifiable.
IntakeTurn messy requirements into verified specs for AI agents
Vigil is an open-source CLI that catches security issues specific to AI-generated code: hallucinated dependencies, insecure auth patterns, leaked secrets, and fake tests. Deterministic. No LLM required. Works with any AI coding agent.
VigilSecurity scanner built for AI-generated code.
Architect is an open-source CLI that orchestrates AI agents to write, test, and fix code autonomously. Headless-first: built for CI/CD pipelines, not IDEs. Ralph Loop, parallel runs, guardrails, pipelines. Multi-model. Verifiable. Open source.
ArchitectThe AI coding agent that works while you sleep.
Diego Albaleft a comment
I'm Diego, and I built vigil because every security scanner I know was designed for code written by humans, and the code we're shipping in 2026 isn't written by humans anymore. Here's the problem. AI coding agents (Claude Code, Cursor, Copilot, Kiro) are incredibly productive, but they introduce a new class of security issues that traditional tools like Semgrep, Snyk, or CodeQL simply don't...
VigilSecurity scanner built for AI-generated code.
Diego Albaleft a comment
I'm Diego, and I built architect to solve a problem that gets bigger every month: AI coding agents are incredibly powerful, but they still need someone sitting in front of them. Claude Code, Cursor or Copilot, they're brilliant for interactive pair-programming. But what about the 16 hours a day when nobody's at the keyboard? That's the gap architect fills. It's a CLI tool designed from day one...
ArchitectThe AI coding agent that works while you sleep.
Diego Albaleft a comment
I'm Diego, and I built intake to solve a problem every developer using AI coding agents hits eventually: the gap between scattered requirements and the structured spec your agent actually needs. The problem is simple. Your requirements live everywhere: Gitlab, Jira tickets, PDF docs, Confluence pages, random Markdown files, etc. Before any AI agent (Claude Code, Cursor, Copilot, Architect,...
IntakeTurn messy requirements into verified specs for AI agents