Zürich, CH Accepting 2 projects · Q3 2026

Built with AI. Broken in production.

I help founders and product leads ship the thing they actually built. Cursor, Lovable, a no-code stack, an early hire's half-finished codebase — I take it from almost-working to production. Eight years of fintech engineering at UBS and Credit Suisse.

You built the V1.
You just need someone to ship it.

Most of the people I work with aren't stuck because they didn't know what to build. They knew. They built it. Then reality showed up.

Founders

No co-founder. No equity split.

You built it with Cursor, Claude or Lovable. You don't want to hand over a chunk of the company for dev help — you want it deployed, observable, and ready for you to keep shipping to.

Product Leads

Running your own thing now.

You've shipped product for years — you know what good looks like. You built the V1 yourself. What you need is a second pair of eyes and a proper hardening pass, not more strategy.

Agencies

Stuck on the last mile.

Client project 90% done, production-readiness nowhere in sight. You need a senior engineer to close it out and hand it over clean.

Solo Builders

80% of the way there.

Side project that got serious. Early-hire codebase nobody else wants to touch. You just need someone to cross the finish line with you.

You know something's wrong.
You're just not sure what.

The prototype ran beautifully on your laptop. Then you tried to actually ship it, and something — a lot of things — started going sideways. Any of these feel familiar?

Works on localhost

Deploy goes red and no one knows why.

Env vars missing. Build scripts broken. CORS errors. The app runs on your machine and nowhere else.

Silent failures

It's failing. You just can't see it.

Swallowed errors, empty try/catches, no logging, no alerting. Users hit bugs you'll never hear about.

Breaks under load

Ten users breaks what worked for one.

N+1 queries. Unbatched API calls. Synchronous operations blocking the event loop. Fine for a demo, fatal in prod.

Security holes

Secrets in the frontend bundle.

API keys checked into git, auth that can be bypassed in devtools, unprotected endpoints. Looks fine until it isn't.

Unmaintainable

Every change breaks three other things.

No tests, no types, tangled state, magic numbers. The AI shipped a first draft. You need a second.

No observability

Production is a black box.

No metrics, no traces, no way to debug without shipping another deploy. You're flying blind.

Three ways forward.

Pick the scope. Flat fees, fixed timelines, clear deliverables. No discovery theatre, no surprise invoices.

01 Pipeline Audit

Find out exactly what's broken.

Deep review of your codebase, infra, and deploy pipeline.
  • Full written report with ranked issues
  • Security, performance & reliability findings
  • 60-min walkthrough call
  • Turnaround: 3–5 business days
1,500–3,000 CHF · flat fee
02 Sprint to Production

Fix it. Ship it. Make it observable.

Two-week focused sprint. I write the code, deploy it, and hand it back running.
  • Audit + prioritised fix list
  • CI/CD, env management, error monitoring
  • Load testing & performance tuning
  • Dashboards & alerts handed over — keep shipping, see breaks instantly
8,000–14,000 CHF · 2 weeks
03 Ongoing Retainer

Keep it running. Keep it improving.

A senior engineer on call. Feature work, incidents, refactors, the lot.
  • Async Slack / email channel
  • Weekly sync + priorities review
  • Incident response & hotfixes
  • Scope and cadence tailored on the call
Let's talk monthly retainer

Or fix how your team uses AI
in the first place.

Most teams treat Cursor and Claude the way they treated Stack Overflow — copy, paste, pray. I help you go further: custom agents for your repeatable work, a review of how you're structuring AI-assisted projects, and consulting that compounds across the whole team.

Let's talk

Workflow Review

A deep look at how your team actually uses Cursor, Claude Code, ChatGPT and the rest — and where you're leaking time or shipping noise.

Custom Agents

Purpose-built agents for your repeatable work: code review, deploy checks, research, ops. Tuned to your codebase and your people.

Project Consulting

How to structure a project so AI actually multiplies output — from repo conventions, to team workflows, to knowing when not to use it.

I've shipped software banks run on.

I'm Corey Musa. For eight years I built production systems at UBS and Credit Suisse — the kind where a silent failure costs real money and someone gets a call at 3am.

Now I work with founders, agencies and non-technical builders who've shipped a first version with AI tools and hit the wall between prototype and product.

I don't lecture you on best practices. I write the code, deploy it, and show you it working. That's the deal — the same way I ship my own products.

No equity. No co-founder seat. You hand me the repo, I hand you back a deployed product with dashboards that flag breaks the second they happen — and a codebase you can keep vibe-coding in without flying blind.

Role Senior full-stack engineer
Prior UBS · Credit Suisse (8 yrs, fintech)
Base Switzerland · remote global
Focus Production deploys · observability · AI workflows · custom agents
Stack TypeScript React / Next Angular Node Python Java / Spring Postgres WebSocket OAuth2 Stripe AWS Docker
Status ● Accepting new work

What could break?
Would you know?

One email or a 15-min call. Walk me through what you've built and I'll tell you where the silent failures are hiding, what'll crack under real load, and whether you'd even see it coming. No code-sharing needed yet — NDA on request before I see anything.

or book a 15-min intro call
Reply lands straight in my inbox · usually within 24h