AI Engineering Studio & Open Source

Open-Source Tools for AI Engineering Teams

PromptWheel — the open-source outcome gate for AI code — plus eval and reliability tooling so every AI change is provably an improvement, not churn.

CodeWheel AI · AI platform architecture & MCP tooling · Founded by a former Tesla Staff Engineer

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What we build

Areas of expertise

CodeWheel builds open-source developer tools and publishes technical content on AI platform architecture, security, and agent orchestration.

AI Architecture

Deep expertise in AI platform architecture, agent orchestration, and production-ready system design. Patterns and practices from 15 years of shipping at scale.

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AI Platform & SaaS Development

Production AI platforms with Next.js, MCP agents, tool orchestration, auth (Clerk), and billing (Stripe). From MVP to launch in weeks, not months.

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AI Agents & Automation

MCP servers, AI agents, and workflow automation that connect your tools — Jira, Stripe, HubSpot — with RBAC, audit logging, and human-in-the-loop approvals.

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15 years

Production engineering at Tesla, SaaS startups, and agencies

Engineering studio

Open-source tools and deep technical content on AI architecture

Full-stack AI

From agent orchestration to production deploy, one team ships it all

Specializations

What we specialize in

Agent & MCP Development

Production MCP servers and AI agents with RBAC, audit logging, and tool gating. Orchestration that survives security reviews, not just demos.

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Workflow Automation

Connect CRMs, billing, support, and dev tools so agents handle the repetitive work — ticket triage, data sync, report generation — with guardrails and audit trails.

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RAG & Retrieval

Production retrieval pipelines with pgvector, hybrid search, and context management. Integrated into agent workflows or standalone.

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The stack we ship

Production AI platforms, not prototypes

Next.js + Vercel for the frontend. MCP servers and LangChain for agent orchestration. Neon Postgres with pgvector for retrieval. Clerk for auth, Stripe for billing. Battle-tested stack that scales from MVP to enterprise.

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AI platform architecture with Next.js, MCP agents, and tool orchestration

Fit check

Who we work best with

Ideal clients

Teams building AI-first products that need senior architecture and security from one partner.
Founders and engineering leads who want direct access to the engineers doing the work.
Companies preparing for due diligence, vendor security reviews, or compliance readiness.

Not the best fit

Programs that require formal compliance attestation bodies (SOC 2 auditors, ISO certifiers).
Organizations that need 24/7 SOC or dedicated on-call coverage.
Engagements looking for a large agency with dedicated account managers and project coordinators.

From the blog

Latest on AI platforms, agents, and shipping fast

Jul 10, 2026

Agents Rarely Cheat. Humans Rarely Check.

I checked ~2,300 merged PRs written by coding agents. Confirmed test-gaming: zero. PRs merged with no human involved at all: up to 1 in 5. The problem is not dishonest agents. It is missing referees.

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Jul 10, 2026

I Built a Reward Function That Graded Itself A+++++

Post-mortem of my 2025 attempt to train a custom model: a 24-line reward function you can max by echoing four keywords, and the AI self-audit that declared it production-ready.

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Jul 8, 2026

Claude Code on an iPad: What Actually Works

Every stack the guides recommend — Termius, mosh, tmux mouse mode, Remote Control — fails on iPad for structural reasons. Here's the tested setup that finally works, and the tmux version gotcha nobody documents.

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