You built it with AI. We make it production-ready.
The engineering partner that makes your AI-built software secure, reliable, and maintainable — by your team and by your coding agents.
Who We Work With
We typically work with:
- Founders and businesses building a product or internal tool, often using AI coding tools for the first time (“vibe coding”)
- Teams experimenting with AI to automate workflows or build customer-facing features
- Builders who have a working prototype and need help making it reliable and ready for real users
Services
Production Readiness Audits & Fixes
We audit AI- and vibe-coded software for security, performance, and reliability — then fix what’s broken and stand behind the result. A named engineer, not a generated report.
- Any tool can list findings in minutes. Nobody can tell you which ones actually matter here.Findings triaged against your real risk, remediated, and signed off by an engineer.
- AI coding tools need broad file access, which can expose credentials and customer data.Permissions and security settings configured so assistants stay productive without the risk.
- Agent tools and skills inherit every credential in your environment by default.A gateway that lets agents use external tools without exposing your secrets.
AI Workflow & Application Builds
We design and build AI-powered workflows and applications — chatbots, agents, internal tools — and build the reliability layer they need to keep running unattended in production against real data.
- Automations work fine in testing, then fail silently once they’re running on their own.Monitoring, retries, and alerting so the workflow keeps working when nobody is watching.
- The hard part is rarely the code — it’s the vendor APIs, live-data migrations, and environments around it.We work at that boundary, where an agent inside your repo has no visibility.
- Valuable data is locked away and hard to explore.An LLM-accessible interface that makes it interactively queryable.
Agent-Ready Codebases
We build the verification layer that lets you trust code you didn’t write — deterministic checks, executable specs, and a review loop that holds up as your agents write more.
- Cursor, Claude Code, and Copilot produce inconsistent code and hallucinated dependencies.Automated checks that catch problems before production, without manual review.
- Your agents write more each week than anyone can review, so review becomes a rubber stamp.Executable specs so review effort scales with risk, not with lines changed.
- Review feedback sits in a review tool, disconnected from the agent that would fix it.A workflow that pulls suggestions straight into your coding agent.
Fractional AI Engineering
A standing engineering relationship while your team keeps shipping with coding agents — a recurring review slot, judgment on the decisions that carry weight, and accountability for what goes out.
- Nobody can answer “is this safe to ship?” without an agenda in the answer.An outside engineer whose judgment isn’t entangled with having written the code.
- A one-off audit goes stale the moment the next agent session runs.A standing relationship where the guardrails and checks stay current as you ship.
Selected Work
Cut a runaway AI bill
A default agent configuration routed every request through a frontier model, reaching ~$750/month within a day. Retuned model routing and context handling to match actual usage.
Gave agents tools, not credentials
Third-party agent skills inherit every environment secret by default. Built a gateway so agents can use external tools without those tools gaining direct access.
Caught AI hallucinations before the stakeholder did
AI-generated business reports contained fabricated statistics and names. Built automated feedback loops that catch and correct them before a report goes out.
Made AI-generated code trustworthy
A team using several AI coding tools was getting inconsistent output. Set up automated verification so code meets their standards before it reaches production.
Let’s Talk
Tell us what you’re building and we’ll tell you what it needs to be production-ready.