Vibe coding got you this far. We make it ready to go live

We stabilise, test and re-architect fragile or stalled AI-generated code against clear specifications, so you can keep building and launch with confidence.

Trusted on systems that cannot fail

SiemensYunex TrafficAutobahn
Finastra
InfraSignal
Abidat
PTV Group
Körber
Westfalia
FrontFundr
GFA Group
Seneca ESG
Cygon
Dasan
Aimsun
eGo Digital
Maoneng
OnOffice
Reinstil
Zero
Downtime during migration
99.99%
Post-migration uptime
40%
Infrastructure cost reduction
Context

Vibe coding moves fast, until production gets involved

Vibe coding uses AI tools to turn ideas into working software quickly. It helps teams explore complex concepts, build prototypes in days and test them with users sooner.

However, production introduces a different standard. The product must stay secure, reliable and maintainable under real traffic, data and payments. If those foundations were not defined, the gaps often appear exactly when the product is ready to launch.

Illustration of a vibe-coded store admin with an orders table that looks finished. The audit layer underneath shows a secret key in the client bundle, no auth check on /admin, three uncached fetches, SELECT * on every render and no tests.
The signals

Nine signs your vibe-coded product is struggling

These warning signs suggest that the codebase needs an audit before more features are added.

  1. Every fix triggers another failure

    Modules depend on one another in unexpected ways. A small checkout change can quietly break invoicing, receipts or email notifications.

  2. Tests are missing or no longer run

    A test folder may exist, but the suite was disabled months ago. Since then, no one has confirmed whether the core flows still work.

  3. No one can explain a core workflow

    One function controls too much, and the person who prompted it has moved on. As a result, every change begins with guesswork.

  4. New engineers take weeks to get started

    Setup instructions live in one person's memory instead of the repository. New team members must reconstruct the process before they can contribute.

  5. Dependencies are too risky to upgrade

    Packages remain pinned to outdated versions because every attempted upgrade breaks the build.

  6. Secrets or credentials sit in the repository

    Live API keys appear in client-side code or committed files, exposing them to users and external systems.

  7. The same logic exists in several places

    Copied code has drifted over time. The cart, invoice and receipt can now calculate the same total differently.

  8. Deployment depends on one person

    There is no reliable pipeline or rollback process. Releases depend on a manual script that works only on one machine.

  9. Patching costs more every month

    A quick fix may look cheaper today. However, each hotfix adds more complexity, increases exposure and makes the eventual rescue more expensive.

    Illustrative chart of monthly engineering cost in the first 12 months after launch. Keeping a vibe-coded product on patches starts cheap, then climbs with a hotfix weekend, a data exposure and a rewrite from scratch. A fixed-price rescue costs more in the first two months, becomes the cheaper path from about month three and then stays flat. The gap between the two lines is the cost of waiting.
Capabilities

A complete vibe code rescue, not another round of patches

One accountable team handles the full recovery. We keep what works, repair what is fragile and leave your team with a secure, maintainable codebase it can continue building on.

AI-generated code audit

Get a direct assessment of what works, what is fragile and what must change before the product can scale.

A code editor with its AI actions menu open on Find Problems

Stabilisation and triage

Critical defects and recurring failures are addressed first, so the product stops working against your team.

Automated test harness

Characterisation tests capture current behaviour. Specification-based tests then protect the workflows the product is expected to support.

Specification-led re-architecture

Tangled areas are restructured around clear requirements. Changes are delivered incrementally instead of through a high-risk rewrite.

Security and dependency cleanup

Vulnerable packages, exposed credentials and unsafe coding patterns are identified, prioritised and removed.

Technical handover and enablement

Documentation, runbooks and walkthroughs give your team the knowledge needed to own the product after the rescue.

What is included

What a full vibe code rescue includes

The audit determines which workstreams your product needs, their priority and the safest order for delivery.

Comprehensive code audit

Every file, route and query is reviewed. You receive a prioritised report showing what is sound, what is fragile and what creates the greatest risk.

Security hardening

Authentication, authorisation, input validation, rate limiting, secret management and dependency updates are brought up to production standards.

Production deployment

Hosting, SSL, database provisioning, environment configuration, CI/CD, monitoring and logging are set up with rollback and zero-downtime releases.

Maintainable code refactoring

The codebase is reorganised around clear components, reliable types, consistent error handling, automated tests and usable documentation.

Ongoing maintenance

After the rescue, support can continue through dependency updates, security patches, performance monitoring and further feature development.

How we build it

Vibe coding just got better with our spec-driven, AI-assisted delivery

AI agents accelerate the audit, testing and refactoring. Senior engineers turn the working prototype into clear specifications, review the evidence and approve each delivery gate.

Through our Agent-Centric Development Cycle, you keep the momentum of vibe coding while the product gains the security, reliability and structure needed for production.

The traditional route

Users wait weeks to test anything real

Requirements, design and development happen before users see a stable product. If the original assumptions are wrong, the team may not discover that until late in the project.

  1. 1 Consult a development firm Briefing sessions, scoping calls and an initial proposal. around 1 week
  2. 2 Define requirements Analysts document what the product should do and how success will be assessed. around 2 weeks
  3. 3 Design and estimate Wireframes, architecture and delivery estimates are prepared for approval. around 1-3 weeks
  4. 4 Build the first release Development begins, but users still have nothing stable to test. around 2-8 weeks
  5. 5 Test and launch QA, defect fixes and production preparation happen near the end. around 2 weeks
In users' hands
around 6-14 weeks
Total time to launch
around 8-16 weeks

Prototype first. Harden as you build.

Test the idea early, then engineer it for real users.

Your prototype reaches users while the idea is still flexible. We then turn what works into clear specifications, automated tests and a controlled path to production.

  1. 1 Choose an AI coding platform Select a tool and workflow that fit your team and product. around 1-2 hours
  2. 2 Prototype the highest-value use case Build the core user journey, put it in front of users and gather early feedback. around 2 weeks
  3. 3 Turn the prototype into clear specifications Convert the working behaviour into defined scope, acceptance criteria and a realistic production plan. around 1-3 weeks
  4. 4 Keep building while we harden the system Your team continues exploring features while we strengthen the architecture, security, tests and release process. around 2-8 weeks
In users' hands
around 2 weeks
Total time to launch
around 5-13 weeks

What the framework delivers

30-50%
Faster time to market
40-60%
Less rework and rip-out
2-3x
Delivery throughput per engineer
90%+
Requirements covered by tests
Whatever you built it with

We rescue projects built with major AI coding platforms

Every AI coding tool leaves different patterns in the codebase. Our engineers recognise the common failure modes, so the audit targets the risks created by your actual platform rather than applying a generic code review.

AI coding agents and IDEs

Full-app builders

UI and component generators

Testimonials

Our Clients Say It All

Engagement

Choose the level of rescue your product needs

Every engagement starts with a fixed-price assessment and ends with a written plan. The plan remains yours, whether or not you continue with us.

Audit only

Leave with a clear recovery plan

Timeline
1-2 weeks
Price
Fixed

Get a complete assessment of the codebase without committing to further work.

  • Written findings. Receive a prioritised report within one to two weeks.
  • Clear risk rating. See whether the product is safe to continue, needs repair or requires deeper restructuring.
  • Fixed next steps. Know the price and scope of any recommended follow-up work.
  • No obligation. Keep the report even if another team completes the rescue.

Fix and harden

Make the product safe to keep building

Timeline
Set by the audit
Price
Fixed by milestone

Close the security, architecture and stability gaps that make every new feature harder to deliver.

  • Security hardening. Correct access, credential and dependency risks.
  • Architecture cleanup. Untangle fragile areas and establish clearer boundaries.
  • Milestone pricing. Pay against defined stages and deliverables.
  • Post-fix support. Receive 30 days of support after the agreed work is completed.

Full rescue and launch

Take the product live on your domain

Timeline
Set by the audit
Price
Fixed by milestone

Complete the recovery, finish the stalled workflows and prepare the product for production.

  • Feature completion. Finish the priority workflows defined in the recovery plan.
  • Production foundations. Add deployment pipelines, monitoring and rollback controls.
  • Managed launch. Release the product on your infrastructure and domain.
  • Ongoing support. Continue with an optional maintenance and development retainer.

Certified, accredited and independently reviewed

Clutch Top App Modernization Service company, Vietnam 2026Clutch Top Cloud Consulting Company, Vietnam 2026Clutch Top Machine Learning Company, Vietnam 2026
FAQ

Frequently asked questions

Something not covered here? Ask an engineer directly, no SDRs, no funnel.

Will you tell us to throw it away?

Only if that is the honest answer, and we will show the reasoning. Most codebases we see are worth stabilizing. A rewrite restarts the risk clock.

How fast do we get an answer?

The audit takes one to two weeks and ends with a written risk register and a sequenced plan you can act on with or without us.

Can you work on a live product?

Yes. Stabilization happens behind tests and feature flags, with the product running.

Do you keep using AI on the rescue?

Yes, inside the harness: specs first, tests derived from them, human gates on every merge. The tooling is not the problem. Ungoverned use of it is.

What do we get if we stop after stabilization?

A product that stops breaking, a test suite that tells you when it does, CI running on every change, and documentation your team can work from.

Let's Work Together

Tell us what you're building. Our engineers will respond within 1 business day with a concrete next step - no sales script, no obligation.