You built with Claude. Cursor. Lovable. Bolt. Replit. It launched fast. Now the codebase is fragile, undocumented, and one bad deploy from catastrophe.
We come in after the vibe. We fix the foundation.
The Vibe Coding Aftermath
More than 80% of engineers using agentic coding tools are using them without full architectural context. The LLM doesn't build your product — it builds a version of your product. With assumptions. With gaps. With an expiry date.
You don't see it on launch day. You see it when everything cracks.
It works in the demo. It breaks when a paying customer does something slightly unexpected at 2am. Your AI built the happy path — and nothing else.
LLMs don't question requirements — they comply. No input validation. Hardcoded secrets. SQL injection vectors that passed every AI-generated test because the tests were generated by the same AI.
Your team shipped fast for 3 months. Now every change takes 3x longer. Nobody understands the architecture. Every fix creates two new bugs. Velocity is cratering.
Not the founder. Not the first engineer. Not the LLM that wrote it. Open the repo and there is no architecture — just thousands of lines of context-free, pattern-less code that somehow works.
You found traction. Users are growing. And now the database queries that took 50ms are taking 12 seconds. The free-tier cloud bill just became a six-figure problem. Nothing was built for load.
You hire a senior engineer. They open the repo. They go quiet for two days. Then they ask, 'Who wrote this?' — and the answer is 'Claude, Cursor, and four all-nighters.'
The Fix
We come in after the vibe. We map what you actually have. Stabilize what's breaking. Re-architect what won't survive scale. Optimize your AI agents and coding workflows so the same problems don't come back. And hand your team back a codebase they can own, understand, and build a real company on.
This is not a rewrite from scratch. This is triage with a path forward.
How It Works
We map your entire codebase — architecture, dependencies, security posture, test coverage, infrastructure. You get a Rescue Report: a brutally honest assessment of what works, what is fragile, and what will break next.
We fix the critical issues first. Security holes get patched. Production-crashing bugs get resolved. Error handling gets added where the AI forgot. Your app stops breaking in front of customers.
We introduce real architecture. Modularize the monolith. Add proper abstractions. Write the tests the AI never wrote. Document the system so your team can actually reason about it. This is not a rewrite — it is targeted surgery.
We walk your team through every change. Architecture decision records. Runbooks for common operations. A clear technical roadmap for the next 6 months. You own the codebase again — this time, for real.
We optimize your AI coding agents, skills, and agentic frameworks so the same problems don't resurface. Your team keeps shipping with AI tools — but now with guardrails, context management, and architectural constraints that prevent the next generation of tech debt.
Deliverables
A comprehensive technical assessment: architecture map, dependency audit, security scan, performance baseline, and severity-ranked issues with remediation priority.
Auth flows audited. Input validation added. Secrets rotated and externalized. OWASP Top 10 addressed. The vulnerabilities your AI assistant never mentioned — fixed.
Spaghetti untangled into modules. Dead code removed. Naming conventions normalized. Abstractions introduced where repetition lives. A codebase humans can read.
Unit tests, integration tests, and end-to-end tests for critical paths. The tests the AI never wrote — because it was too busy generating features nobody asked it to test.
Database queries profiled and optimized. N+1 queries eliminated. Caching strategy implemented. Infrastructure right-sized so your cloud bill stops being a surprise.
System diagrams, data flow maps, API documentation, architecture decision records. Your next hire opens the repo and understands it in hours — not weeks.
We optimize your AI coding agents, skills, and agentic frameworks — adding guardrails, context management, and architectural constraints so your team keeps shipping with AI without recreating the same problems.
Why Not Just Rewrite?
| Metric | Full Rewrite | Rescue Engineering |
|---|---|---|
| Timeline | 4–8 months | 4–8 weeks |
| Risk | High (new bugs, lost features) | Low (incremental, tested changes) |
| Cost | 6–10x higher | Scoped to your needs |
| Business Continuity | Product offline or frozen | Product stays live throughout |
| Team Disruption | All hands on rewrite | Team continues shipping features |
| Knowledge Preserved | Start from zero | Built on what already works |
| AI Workflow Optimization | Same problems resurface | Agents, skills & guardrails optimized |
Get a free Rescue Assessment. We will tell you exactly what is broken, what is at risk, and what it takes to fix it. No commitment — just clarity.
30-minute call. We review your repo. You get a Rescue Report.
12+
Years in AI Engineering
50+
Projects Delivered
3
Proprietary AI Layers
Bengaluru
India HQ, Global Clients
Why TunerLabs
TunerLabs has been engineering AI-native systems since 2012 — long before vibe coding existed. We build AI agents, LLM-powered products, and production ML pipelines for companies worldwide. We know exactly what AI-generated code gets right and where it silently fails.
We don't just rescue code — we build AI-native products from scratch. AutoForge, our autonomous AI dev team, powers real-world software delivery. We understand AI-generated code because we create it every day.
Our goal is to make ourselves unnecessary. Every refactoring decision is documented. Every architecture choice is explained. Your team walks away understanding and owning the codebase — not depending on us.
Duplicated logic because the LLM lost context between files. Auth flows that look correct but skip validation. N+1 queries that the AI generated because it optimized per-file, not per-system. We've seen them all.
Is This You?
You used Claude, Cursor, Lovable, Bolt, or Replit to build your MVP. It launched. Users showed up. Now the codebase is held together with duct tape and you need real engineering before the next fundraise.
The product-market fit is there. Revenue is growing. But your infrastructure was built for 100 users and you have 10,000. Scaling will break everything — unless someone fixes the foundation first.
Your engineers are spending 70% of their time fighting the codebase instead of building features. Every sprint takes longer than the last. Nobody wants to touch the core modules.
You just joined as CTO or VP Eng and inherited a codebase that was vibe-coded before you arrived. You need to stabilize it, earn the team's trust, and chart a path forward — fast.
You handle user data, payments, or sensitive information — and your AI-built app was never security-audited. One breach could end the company. You need an assessment yesterday.
Investors and acquirers will diligence your code. A fragile codebase with no tests, no docs, and security holes is a valuation killer. Fix it before the term sheet, not during.
“If your product works but you're scared to touch it — if you know something is wrong but can't explain what — if your engineers are shipping slower every sprint and nobody knows why — you don't have a tech problem. You have a foundation problem.”
And foundations can be fixed.
Common Questions
Your product works. Let's make sure it keeps working — at 10x the scale, with a team that understands every line. Rescue starts this week.
Questions? Reach us at shyam@tunerlabs.com
Rescue Engineering by TunerLabs, a specialist AI engineering company in Bengaluru, India. Since 2012.