Strelec LabsAI-BUILT SOFTWARE RESCUE
Claude, Cursor, Lovable and other AI tools can get a product surprisingly far. I take over when the codebase becomes hard to trust: audit the real state, fix the critical paths, launch safely and keep it alive.
Remote · RU / EN
OWN SYSTEMS / ENGINEERING CASES
Real work on my own systems: inherited state, retries, browser automation, AI execution and production verification.
01 / Backend · State machines
Regression tested; external operations mocked
02 / Automation · Telegram
Live canary and replay verified
03 / AI workflows · Execution gates
Synthetic flows tested; runtime deployed
SENIOR ENGINEERING APPROACH
No blind rewrite. I establish the actual system state, protect working paths, fix the highest-risk failures and verify the result in the environment that matters.
I read the code AI produced, map the real dependencies and identify what is canonical before changing the system.
Auth, payments, webhooks, database state, runtime, Linux, network and deployment are one system. The symptom is only the starting point.
A focused fix, regression checks, deployment evidence, rollback and a clear handoff. After launch I can keep the system healthy month to month.
Read the code. Inspect logs, runtime and network.
Trigger the original failure. Capture evidence.
Trace the failure to its actual cause.
Apply the smallest safe change.
Retest the symptom, regression and deployment.
Return the checked result with evidence and rollback.
A fix is complete only after the original failure has been checked again.
PROBLEMS I SOLVE
Perfect for products assembled with Claude, Cursor, Lovable, Replit or mixed human/AI development — especially when real users, payments and production expose the hard parts.
You have a working demo or early product, but no longer trust the code. I review architecture, auth, secrets, permissions, payments, webhooks, data flows and deployment risk — then rank what must be fixed before growth.
Claude · Cursor · Lovable · Existing code
Fix the critical paths that are blocking launch or revenue: auth, roles, API contracts, Stripe/payment flows, webhook idempotency, queues, database state and recurring production bugs.
Root cause · Targeted fixes · Regression checks
Turn a codebase that works locally into a controlled production system: CI/CD, Docker/VPS/Vercel/Railway, environment separation, secrets, backups, monitoring, health checks and rollback.
Deploy · Observability · Backups · Recovery
Ongoing technical care after launch: monitor failures, review risky AI-generated changes, maintain dependencies and infrastructure, handle incidents and keep recovery paths tested.
Monitoring · Maintenance · Incident response
A previous developer left, several branches disagree, or nobody knows what is really deployed. I reconstruct the actual state, preserve valid work and create a safe path forward.
Codebase mapping · Release truth · Handoff
Tools chosen for the system and the problem.
STARTING POINTS
These are starting points, not fixed quotes. Rescue work starts with a bounded diagnosis so you know what is wrong before paying for a larger rebuild or sprint.
from $99
Focused diagnosis of one blocking production problem.
from $350
Risk-ranked review of an AI-built or inherited application.
from $900
Critical fixes, regression checks and controlled production delivery.
from $299/month
Monitoring, maintenance and incident support after launch.
START A PROJECT
Describe what the product does, how it was built, what you no longer trust and what must work in production. A repository or public URL is enough to start the conversation.
No account needed. Do not send credentials. I start with evidence and a bounded scope, not a blind rewrite.