Vibe Coding Rescue

Agentic & AI

Vibe Coding Rescue

You shipped software with an AI coding tool, it works, and now nobody on your team can safely change it. We repair it, harden it, and hand back a codebase your engineers can own. A vibe coding rescue is a fixed-scope engagement: we inventory what actually exists, write the tests nobody wrote, find the security exposure, document what the software really does, and restructure it until a normal change stops being a research project. Facet's own code, content and quality reviews run through agent loops under human command — so reading and hardening machine-written software is not a service we invented for your repository. It is what our engineers do to their own work every week, and you get that discipline applied to yours at a fixed fee, quoted before we start.

You used the right tool past the point it was the right tool

Facet publishes an article arguing that vibe coding is the correct choice for prototypes and exploration, and we still believe it. Describing software in plain language and letting a model build it is the fastest way to learn whether an idea deserves a budget. Teams that refuse to do it are slower than their competitors for no good reason.

The failure is not the tool. It is a line nobody marked. Somewhere between the demo that worked on a Monday and the version your customers now depend on, the code crossed from exploration, where being wrong is cheap, into production, where being wrong costs a customer or a disclosure. Nothing announces that crossing. The software simply keeps working until the week you need to change it.

Then the pattern arrives on schedule, and it is the same pattern every time:

  • The architecture is not consistent. The model made different choices in different files, so there is no rule an engineer can learn once and apply everywhere.
  • Nobody can explain the code — including the person who prompted it. Reading it takes about as long as rewriting it, which is why every small fix turns into a week.
  • There are no tests. Nobody can prove a change is safe, so nobody makes changes, so the product stops moving.
  • The security exposure is unmapped. Not necessarily large, but unknown — and unknown is the part that keeps a founder awake.

That is not a team that made a bad call. That is a team that moved fast, got a real product out of it, and now needs the second half of the job done properly.

The rescue comes from a team that reads machine-written code every day

Facet runs its own business on agent loops. Our software, our content, our research and our quality reviews all move through agents working under human command, and every line an agent produces clears the same review as a line a person typed — no exception for who wrote it. That matters here for a specific reason: our engineers spend their working days reading machine-written code and deciding what is safe to merge. That is the exact skill a rescue needs, and most firms have not been forced to build it.

It also changes the commercial terms. The slowest, most expensive part of a traditional rescue is discovery — senior consultants reading your repository by hand and billing every hour of it. We put agents on that pass: they read every file, build the map, and generate the first sweep of tests, while our engineers spend their time on the calls that need a person. That is why we can time-box the audit and quote a fixed fee instead of opening an hourly discovery phase with no stated end.

  • We made these mistakes on our own code first — including the ones that only surface at week three, when the second feature request meets the first shortcut.
  • Humans stay in command. Agents carry the volume; a Facet engineer owns the architecture, the review, and every decision to merge into your repository.
  • We name the failure modes instead of hiding them. An agent told to "clean this up" with no boundaries will rewrite working code, invent behavior that was never there, lose the thread halfway through a long file, and burn a week doing it. Scope and human review exist because all four are real.

What a rescue actually does

A rescue is a sequence of passes over your codebase — most of them run by agents under an engineer's direction — and each one produces something you keep.

  • Inventory what exists. Agents read the whole codebase and produce a map: routes, data models, third-party calls, background jobs, duplicated logic, and the dead code nobody noticed. This is usually the first time anyone has seen all of it at once.
  • Write the tests nobody wrote. Agents generate tests that lock in what the software currently does — including behavior you never intended but customers now rely on. This is the pass that makes every later change safe, and it is exactly the high-volume, checkable work agents are good at.
  • Find the security exposure. Hardcoded credentials, endpoints missing an authorization check, unvalidated input reaching the database, dependencies with known advisories. A model optimizes for the path that works, not the path that gets attacked.
  • Document the behavior. The map, the data flow, and the decisions the code quietly makes on your behalf — written down, so the next engineer you hire is useful in a week instead of a quarter.
  • Propose the restructure. File by file, as reviewable changes with tests already in place, so you can see what changes before it changes.

What a person still decides

An agent cannot tell you what your software is for. That boundary is where our engineers spend their hours:

  • Which behavior is intended, and which is a bug you have been living with. The tests capture what the code does; only you know what it was supposed to do.
  • What the architecture should become — the shape the refactor aims at, chosen for the product you are building next, not only the one you have.
  • What gets fixed, deleted, or rebuilt. Not all of it is worth saving, and saying so is part of the work.
  • Every merge. Nothing enters your repository without a Facet engineer and your team signing off.

How an engagement runs

The audit comes first, always. Every rescue opens with a fixed-scope audit of your real repository, time-boxed to two weeks. You leave with the inventory, a security exposure list ranked by severity, a test-coverage baseline, and a written recommendation. Stop there and the audit still stands on its own — it is yours either way.

Then stabilize before improving. The first build work is tests and security, in that order, because both are prerequisites for touching anything safely. Feature work continues throughout; we do not ask you to stop shipping while we clean up, because most teams in this position cannot afford to.

Then harden. Restructuring, documentation, and the deployment and monitoring basics that turn working software into a system somebody can operate.

How pricing works. Fixed fee, quoted before we start, no hourly billing. The audit is priced on its own, and the rescue that follows is priced from what the audit found — which is why we will not quote the second number before we have done the first.

Sometimes the honest answer is rebuild. If repairing would cost more than starting over — and on small codebases where the tool produced something genuinely unsalvageable, it sometimes does — we say so in writing, with the reasoning. We would rather lose the larger engagement than sell you a repair on code that should be thrown away. Facet has run technology work for clients since 2014 and was named a CIOReview Top 10 Digital Transformation company in 2021; neither means much if we spend your money badly.

How much of your AI-built codebase can be saved? Book a Vibe Coding Rescue audit — two weeks, fixed scope, on your real repository, with an honest recommendation at the end, including "rebuild" if that is what the code says.

Where a rescue goes next

Most teams arrive in distress and leave with a different question: how do we keep building this fast without ending up here again? That is the rung above — a choice, not a required next purchase.

  • Agentic Engineering — the build layer. The same speed, with defined roles, scoped boundaries, tests and human review built into how the agents work, so what comes out is shippable instead of salvageable. The answer for teams that liked the pace and want to keep it.
  • AI Managed Services — the run layer. A named Facet team keeps the system patched, watched and working, so the codebase does not drift back into the state you just paid to fix.
  • Forward Deployed Engineering — a senior Facet engineer embeds with your team and transfers the method, if you would rather own the capability than buy it.

A rescue that ends with a clean codebase and no further engagement is a complete outcome, and we will tell you if we think it is the right one.

Vibe Coding Rescue FAQ

What is a vibe coding rescue? It is a fixed-scope engagement to repair and harden software an AI coding tool produced — making it tested, secure, documented and safe for your team to change.

  • It starts with an audit, not a rewrite: we establish what the code actually is before anyone proposes what it should become.
  • It targets maintainability first: the goal is a codebase a normal engineer can change on a normal Tuesday, not a tidier version of the same risk.
  • It can end in a recommendation to rebuild: that is a legitimate result of the audit, and we put it in writing.

Is vibe-coded code a security risk? Often — not because generated code is uniquely careless, but because nobody reviewed it, so nobody knows where the exposure is. The security sweep is a defined pass of the rescue, and the security failure modes of vibe coding are predictable enough to hunt for directly.

  • Missing authorization is the most common finding: an endpoint that works correctly for a logged-in user and never checks whether that user is allowed to be there.
  • Secrets end up in the repository: keys written into source during a prototype and never rotated once it became a product.
  • Input validation gets skipped: a model writes the path that works before the path that defends, unless something makes it do both.
  • Dependencies go stale: generated code pulls in packages that were current when it was written and have had advisories published since.

What are the risks of vibe coding beyond security? The larger risks are structural: nobody understands the code, so the team slows to a stop, and the slowdown stays invisible until a deadline exposes it. The full set is in our writeup on the risks of vibe coding.

  • Inconsistent architecture: different files solve the same problem differently, so there is no pattern to learn.
  • Change becomes expensive: without tests, every modification is a gamble, so the team stops taking them.
  • Key-person risk moves to a chat log: the reasoning behind the software lives in a conversation nobody saved.

Does vibe coding create technical debt? It creates the expensive kind — debt taken on without a decision. Ordinary technical debt is a shortcut someone chose knowingly and can describe; generated code accumulates shortcuts nobody recorded. We break that distinction down in vibe coding and technical debt.

  • The debt is undocumented: there is no list of what was skipped, so it cannot be prioritized or paid down deliberately.
  • It compounds at the architecture layer: inconsistent structure is far costlier to unwind than a messy function.
  • A rescue converts it into a known quantity: after the audit it is a ranked list with a price on it, rather than an unbounded worry.

Should we just rebuild instead? Sometimes — and the audit is what answers it with evidence rather than instinct.

  • Rescue usually wins when the product is proven: real customers and real usage mean the behavior in that code is worth preserving, even where the code is not.
  • Rebuild often wins on small, young codebases: if there is not much of it and little of it is right, repair is the slower road.
  • The decision stays yours: you get the recommendation and the reasoning behind it, in writing.

Find out what can be saved

The uncomfortable part is rarely the code. It is not knowing how bad it is — whether you are two weeks from a maintainable product or six months from a rebuild, with no way to tell which. That uncertainty is what we remove first, and it is cheaper to remove than most people expect.

You were right to build fast. The teams that shipped with AI tools have working products while their more cautious competitors are still writing specifications. The job now is to make what you built durable enough to keep going — and then, if you want, to hold that pace on purpose with Agentic Engineering rather than by holding your breath.

How much of your AI-built codebase can be saved? Book a Vibe Coding Rescue audit: two weeks, fixed scope, run on your actual repository. You leave with a written inventory of what exists, a security exposure list ranked by severity, a test-coverage baseline, and a fixed-fee recommendation for the work — including "rebuild is cheaper than rescue" if that is what the code tells us.