AI-Native Engineering
We review AI-generated codebases and build products with requirements-led agent workflows.
AI-Generated Code Assessment
We review AI-generated code for architecture, security, data flow, dependencies, and deployment risk. You get prioritized findings with concrete fixes, ordered by what matters first.
AI-Native Development
We build full-stack products with LLMs and agents where they make sense: local model setup, RAG, agent workflows, and product UI that fits your stack.
How we work
Every engagement starts with clear requirements. From there we review, build, test, and explain the work in plain terms.
Submit your repo
Share read-only access and a brief description of your project and main concerns.
We review
Our engineers review the code end to end: security, architecture, data flows, error handling, and dependency risks.
You receive your report
You get prioritized findings, risk ratings, concrete recommendations, and a call to walk through the report.
Common questions
Can't I just ask ChatGPT to review my code?
A model catches obvious issues but often misses system context: auth boundaries, data flow, deployment assumptions, and risks introduced by generated code. We review the whole repo and explain the risks in priority order.
What do I need to provide?
Read-only repo access, a brief project description, and anything specific you are worried about. No credentials or production access needed.
How long does an assessment take?
We deliver within 48 hours of receiving repo access. Most engagements include a follow-up call within the same week.
What if my app is built with no-code or Lovable/Bolt?
We audit the underlying codebase, not the tool that generated it. If it produces code you can deploy, we can audit it.
Ready to get started?
Schedule a conversation about your codebase, infrastructure, or product idea.