AI-native engineering systems for teams that need to ship faster.
I help software teams deploy a practical AI coding workflow with Claude Code, Conductor, and CodeRabbit so engineers ship more each week with less review drag and less tooling thrash.
3-5x
faster delivery potential
2-4 weeks
for core deployment
The Risk
Most teams do not need more AI tools. They need an operating system.
Buying seats is easy. Getting real delivery gains without review chaos is the hard part. Here is what breaks when adoption stays informal:
Tool sprawl without a workflow
Engineers use different tools in different ways, prompts live in DMs, and nothing compounds. You pay for seats but still ship through the same bottlenecks.
PR review stays the bottleneck
AI generation speeds up drafting, but merge velocity does not change when review rules, ownership, and quality gates stay manual and inconsistent.
Adoption depends on a few enthusiasts
A couple of engineers get strong results while the rest of the team watches. Without rollout, training, and clear norms, gains stay isolated and fade out.
Quality risk rises with speed
Generated code without review guardrails increases noise, regressions, and trust issues. Senior engineers feel the risk and slow the rollout down.
3–5× faster delivery
Typical throughput gain in 2–4 weeks of deployment, not months of incremental change.
50–70% less PR review time
Teams report review cycles cut from days to hours once review guardrails are properly configured.
Stack + playbook in hand
You get a running system, trained engineers, and documented operating rules — not a slide deck.
The Solution
I install the AI-native engineering system your team can actually run.
This is implementation plus operating model: tool configuration, workflow design, rollout support, and quality guardrails so the stack improves throughput instead of creating noise.
Workflow audit
I identify where delivery is actually getting stuck: drafting, review, merge flow, tooling overlap, or rollout gaps. You leave with a prioritized implementation plan and ROI case.
Team stack deployment
I configure Claude Code, Conductor, CodeRabbit, and the surrounding process for your actual codebase so engineers can use the stack consistently from day one.
Ongoing advisory
After rollout, I help refine prompts, guardrails, review policy, and tool choices as the stack evolves so your gains keep compounding instead of flattening.
I am not selling AI strategy decks. I am a practicing CTO who installs the actual stack, trains the team, and defines the operating rules so faster output does not come at the expense of review quality.
Services
Start with the right entry point, then expand.
The flagship offer is deployment. The audit lowers friction for teams that need clarity first, and the retainer supports optimization after rollout.
AI Workflow Audit
$3,000-$5,000
One-time
Fixed-scope diagnostic for teams that know adoption is underperforming but cannot see where the friction lives. Deliverables include bottlenecks, tool-stack recommendation, rollout plan, and expected ROI.
- ✓ Bottleneck analysis
- ✓ Stack recommendation
- ✓ ROI model
- ✓ Rollout roadmap
Team AI Stack Deployment
$8,000-$15,000+
Project-based
The core offer. I implement the stack and operating model: configuration, workflow design, usage policy, rollout support, training, and review guardrails for a 2-4 week engagement.
- ✓ Claude Code configuration
- ✓ Conductor + CodeRabbit setup
- ✓ Engineer training
- ✓ Operating playbook
Ongoing Advisory
$4,000-$6,000/month
Month-to-month
For teams that want ongoing optimization after rollout. Use it for policy refinement, prompt iteration, vendor evaluation, training reinforcement, and change management.
- ✓ Monthly prompt optimization
- ✓ Policy refinement
- ✓ Vendor evaluation
- ✓ Async Slack support
Hourly Consulting
$300/hour
As needed
Reserved for narrow advisory when a buyer does not need a scoped engagement. Best for architecture review, tool evaluation, or unblock sessions with engineering leadership.
- ✓ Architecture review
- ✓ Tool evaluation
- ✓ Unblock sessions
- ✓ No retainer required
How It Works
From first call to running system in weeks.
Diagnostic call (30 min)
We identify where your team is losing time — drafting, review, merge flow, or tooling gaps. No prep required.
Custom plan (1 week)
We scope the right intervention for your stack — tooling, workflow design, rollout sequence, and expected ROI.
Deployment (2–4 weeks)
We implement, train your engineers, and hand off a running system with clear operating rules your team can sustain.
About
A CTO who ships with these tools daily.
I'm CTO at Arcade, where I lead engineering and ship product daily with the same AI-native workflows I help other teams adopt. Before that, I was CTO and then CEO of Upduo, which was acquired by Arcade in 2025. Earlier in my career, I worked on machine learning at Apple.
I studied at MIT and have spent my career at the intersection of engineering leadership and applied AI. When agentic coding tools started getting good, I didn't delegate the evaluation — I rebuilt my own workflows from scratch, found what works, and systematized the results into repeatable playbooks.
Now I help other engineering leaders do the same thing, without the months of trial and error.
Current
CTO, Arcade
Previously
CTO & CEO, Upduo
Acquired by Arcade, 2025
Previously
Machine Learning, Apple
Education
MIT
Wei installed Claude Code and CodeRabbit for our team in about three weeks. Our PR review cycle went from two days down to four hours. It's not magic — it's just having someone who's actually done it before and knows where the friction hides.
Jordan M.
Engineering Manager, Series A SaaS company
Professional background
Diagnostic Call
Book a 30-minute AI Workflow Diagnostic Call.
Leave with a clearer next step.
We will map where your engineering org is losing time, whether your current AI usage is effective, and what implementation step would produce the highest leverage next.
No sales pitch. No long discovery process. Just 30 minutes to map your highest-leverage AI intervention.
Trusted by engineering teams at YC-backed startups and Series A companies.
Email [email protected] to schedule — typically respond within 1 business day.