AI Code Review Certification.
Six modules and an assessment on reading AI-generated code the way it actually fails.
08 Aug 2026·2 min read
Read articleVibeCoders is an organisation founded to give UK teams AI-accelerated builds with full-stack scrutiny — code, database and security reviewed by engineers, not prompt-only builders.
We use vibe coding to move fast — and full-stack engineers to keep what ships honest. Speed without scrutiny is just debt with better lighting.
01Services
—About us
VibeCoders is a UK organisation founded to deliver AI-accelerated builds for teams who will not gamble on unreviewed code.
We do not only vibe-code products and fast MVPs. Every meaningful change is scrutinised — application code, database shape, and vulnerability surface — with AI checkers and human review from full-stack developers who actually understand what they are shipping.
Nobody who cannot read and reason about code works on your build. Vibe coding platforms (Cursor, Claude, Codex, v0, Base44, Copilot and the rest) are how we compress development and launch timeframes and raise productivity. They are not a substitute for engineering judgment.
No one who does not understand code works on your product. Platforms speed us up — they do not replace accountability.
Modern vibe-coding tools to scaffold, iterate and ship faster — under a clear architecture.
See how a build runsFull-stack developers review logic, edge cases and maintainability before anything hits staging.
See our review barDatabase design, access paths and vulnerability scans — AI-assisted checks plus human verification.
See what you get—Platforms
Cursor, Claude, Codex, v0, Base44, Copilot, Windsurf, Lovable and peers compress build time. Review, database checks and vulnerability verification stay with our engineers.
AI code editor
Our primary build environment. Agents work across the whole repository while engineers stay in review.
Learn moreReasoning model
Used for architecture thinking, refactors and reading unfamiliar code before we change it.
Learn moreOpenAI agent
Delegated implementation and test writing on well-scoped tasks, checked against our own review bar.
Learn moreUI generation
Rapid interface exploration so design decisions get made against real components, not static mockups.
Learn moreApp scaffolding
Fast internal tooling and prototypes when a team needs something working before it needs to be perfect.
Learn moreInline assistant
Completion and chat inside familiar GitHub workflows — useful when a client already lives in that stack.
Learn moreAgentic IDE
Another agent-first editor we keep in the mix for parallel exploration and second-opinion refactors.
Learn moreFull-stack generation
Quick full-stack spikes when we need something clickable before the architecture is locked.
Learn more03Method
Four stages, each with something written down at the end of it. No black box between kickoff and launch — you always know what has been reviewed and what ships next.
One call. Scope, constraints, success metrics — written down so the whole team can share it.
You getWritten scope & success metrics
Architecture, components, content model. No surprise rewrites later.
You getArchitecture & content model
AI-accelerated implementation, then human review of code, database and vulnerability surface.
You getWeekly staging builds
Launch, training, hosting, iteration. A partner who stays after go-live.
You getHosting, training & iteration
04Signals
The numbers we hold ourselves to across every engagement — velocity from the platforms, assurance from the engineers.
Engineer-reviewed merges
Hosting uptime target
Emergency cover on hosting
05In their words
They moved fast without feeling reckless. Every release had been read by people who clearly understood the stack.
Not a vibe-only shop. Staging every week, security questions answered, delivery sorted.
06Journal
What we have learned shipping AI-accelerated work for UK teams — written up plainly, without the hype cycle.
Six modules and an assessment on reading AI-generated code the way it actually fails.
08 Aug 2026·2 min read
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04 Aug 2026·5 min read
Read articleSpeed with scrutiny — how we use AI tools without shipping debt.
22 Jul 2026·3 min read
Read articleA half-day workshop on workflows that keep engineers in the loop.
09 Jul 2026·2 min read
Read articleArchitecture reviews, AI tooling setup and release discipline.
27 Jun 2026·2 min read
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11 Jun 2026·2 min read
Read articleThe checklist our engineers run on every meaningful change — logic, data and security.
28 May 2026·3 min read
Read articleFast scaffolding is wasted if the schema cannot survive the second feature.
14 May 2026·3 min read
Read articleA practical session for teams already using Cursor or Copilot who need a review culture.
30 Apr 2026·2 min read
Read articleAI scanners plus human judgement — what we look for before a release goes live.
12 Apr 2026·3 min read
Read articleNext step
A short discovery call. We map scope, timeline and the review bar — vibe-coded velocity with human scrutiny on code, data and security.