Most engineering consultancies look at an AI-generated codebase and see a mess to be rewritten. We see what it actually is: a working product that got to market faster than any traditional process could, carrying technical debt that is well understood and very fixable.
Our team comes from backgrounds in production engineering: building, securing, scaling, and operating systems with real users and real uptime obligations. Cloud architecture, DevOps, security testing, database engineering, and site reliability are our home turf.
But we're also daily, hands-on users of the modern AI development stack. We build with Claude Code and Codex in the terminal, with Cursor, Windsurf, and GitHub Copilot inside Visual Studio Code, and we prototype and debug with ChatGPT, Claude, and Gemini. We write our own MCP servers, skills, and plugins, and we run multi-agent workflows in our own delivery pipeline.
That dual fluency is the company. We can read what your AI built, understand why it made the choices it did, fix what's dangerous, and then configure your tools so they build better next time.