Vibe coding is describing what you want in plain language and letting a model write the code. Andrej Karpathy named it in early 2025. The interesting part is what it changed. Producing a first working version is now fast. Deciding whether that version is correct is where the time goes, and teams inherit software nobody on the team wrote.
Review is the constraint that remains. Our vibe coding development services run on Guarded Delivery, which puts the review inside the build.
Founders and engineering teams run the same three movements. What changes is the depth of review, the compliance evidence, and how much of the delivery you hand over.
We scope the work, build inside the gates, and hand over a running product with tests, a deployment pipeline, monitoring, and a security review already done.
0%
Faster task completion for developers given an AI assistant in a controlled trial.
Source: GitHub and Microsoft Research, arXiv:2302.06590, 2023
0%
Slower on real tasks for experienced developers using AI, who believed they had been twenty percent faster.
Source: METR, randomized controlled trial, 2025
0%
Of AI generated code fails OWASP Top 10 security benchmarks in independent testing.
Guarded Delivery is a harness around the model. The model still writes most of the code, and still writes it fast. The harness decides what it may touch, what it has to prove before anything merges, and what gets recorded so the same fault does not return. The gates are automated and run inside the build, so a slice is specified, generated and verified in one sitting with nothing sitting in a review queue. You keep the head start and you can show the work to an auditor.
01 Specify
Define correct first
A harness needs something to test against. A short specification fixes the data model, the contracts, and the acceptance criteria before generation starts. The benefit is that correct becomes a thing you can check, for the model and for the person reviewing it.
Specified
02 Generate
Bound the blast radius
Generation is bounded to one vertical slice. Everything outside it stays frozen and every file inside stays under 500 lines. The benefit is a known blast radius, so when something breaks the fault sits in a space small enough to read in an afternoon.
Bounded
03 Verify
Prove before merge
Nothing merges unproven. A second model audits the first, tests cover the critical paths, and secrets and auth are checked on the way in. The benefit is that every decision lands in a constitution file, so the same fault cannot come back a month later.
Recorded
Core Vibe Coding Development Services
Select a capability set
Guarded Delivery covers the work end to end, from the specification through the release that follows. Each service below stands on its own, so you can hand over the whole build or bring us in for the part your team does not want to own.
AI Accelerated MVP Build
A first product built to be kept. We run discovery, write the specification, and generate against it inside review gates, so what you take to users is quick to reach and does not have to be thrown away when they arrive.
Specification and Prompt Architecture
The work that makes everything after it checkable. We fix the data model, the API contracts, and the acceptance criteria up front, then shape the prompts and context your team reuses, so the model is aiming at a defined target every time.
Production Grade Application Development
Full delivery for products that will carry real customers from day one. Authentication, permissions, error handling, and data integrity are built in as the application is written, not fitted afterwards when something breaks.
AI Assisted Feature Development
New work inside a codebase you already own. We bound each feature to one vertical slice, leave everything outside it frozen, and prove the slice before it merges, so velocity goes up without the existing product moving underneath you.
Review Gates and CI Automation
The harness itself, installed in your pipeline. A second model audits generated code before merge, tests cover the paths that matter, and secrets and dependency checks run on every push, so review keeps pace with generation.
Security Built Into the Build
Authentication flows, route level access control, input validation, and secret handling are written and tested as the feature is built. Independent testing puts a large share of AI generated code outside OWASP expectations, which makes it a build time problem, settled while the code is being written.
Deployment, Monitoring and Rollback
Separated environments, a repeatable release, logging and error tracking, and a way back. Every release is predictable, watched as it goes out, and reversible, so shipping often stops being the risky part of the week.
Team Enablement and Vibe Coding Coaching
Your developers keep building and we review what they ship, flagging what to accept, edit, or reject. Over time the team stops producing the faults we keep catching, which is the point of the exercise.
Heavier engagements for products that are multi tenant, regulated, or sold into enterprise procurement, and for engineering organisations rolling AI delivery out across many teams at once.
Enterprise Vibe Coding Programs
AI delivery introduced inside an existing SDLC, with the governance an enterprise already runs on. Change control, evidence, and separation of duties stay intact. We do not build regulated systems from a prompt, and we will say so in the first meeting.
Multi Tenant and Scale Architecture
Tenancy, isolation, and access boundaries designed before the first tenant exists. Generated code defaults to single instance assumptions with no caching story, which is inexpensive to settle at design time and expensive to unpick under load.
Compliance Ready Delivery
Products heading into SOC 2, ISO 27001, HIPAA, or GDPR territory. Controls, audit trail, access governance, and the evidence trail are produced as the work happens, so the audit reads a record written as the work happened.
Engineering Org Enablement
Guarded Delivery installed as an organisation wide standard. Shared prompt and context standards, CI review gates, and a written constitution for AI generated code, so quality does not depend on which engineer opened the editor.
Why Vibe Coding as a Service?
The tools are the easy part. Anyone can open Cursor or Lovable today and have something running by the afternoon. The harness around that code is what takes an engineering function to build, and it has to be built by hand. We offer it as a service, per platform, because Cursor, Lovable, Bolt, Replit, v0 and Base44 each fail differently.
Media pending/wp-content/uploads/2026/09/vibe-coding-as-a-service.mp4
A Service, Because the Harness Is the Expensive Half
Building the harness in house means standing up an engineering function you do not have yet, or running a change program across teams you would rather leave shipping. Either one costs a multiple of the build itself.
Buying it as a service moves that cost off your balance sheet. We bring the specification discipline, the review gates and the security pass, install them in the platform you already use, and leave them behind when we go.
Same platform, same repository, same deploy target
Review gates added to the pipeline you already run
An export path that works the day you decide to leave
What surrounds the code decides whether it survives launch, and that part looks much the same whichever platform wrote it.
Shipping straight off the platform
What tends to go wrong
The platform preview is treated as a staging environment
Secrets sit in the project because that is where they worked
Auth is whatever the template generated
Schema changes are made by asking again
Nothing is tested because nothing broke yet
Export day arrives and no one owns the code
Guarded Delivery on the same platform
What we put around it
Separated environments with a repeatable, reversible release
Credentials vaulted and rotated before the first deploy
Session, reset and role handling written against a specification
Migrations versioned, constraints and indexes set to real query load
Tests cover the paths that cannot fail, from the first slice
You own a documented repository your next engineer can read
If the left column already describes your product, the work starts as a repair. We run that as vibe coding cleanup services, a separate engagement with its own scope and estimate.
Clixlogix, Your Vibe Coding Development Company
1Specification first Fifteen years of writing specifications and shipping against them, which is the part of this that AI did not change.
2Senior engineers only No junior sitting behind a generator. The person who approves your slice has shipped production systems for years.
3We build inside the platform you already chose, including Replit, Lovable, Bolt.new, Cursor, v0, and Base44, so your history and deploy target stay where they are.
4Guarded Delivery bounds each slice to one vertical cut, with a second model auditing every change before it merges.
5Work ships through your own pipeline, with separated environments and a release you can reverse on the day.
6Compliance enters the specification SOC 2, ISO 27001 and GDPR obligations shape the data model and the access rules before generation starts, so the evidence exists before anyone asks for it.
7Sector obligations we have met before across finance, energy, retail and many other industries, so what we build accounts for the reliability and compliance expectations specific to your sector.
6+Platforms Supported
100%Merges Reviewed Twice
<500Lines Per Slice
15+Years Shipping
See how Guarded Delivery takes an idea to a production system your team can keep building on.
The method stays the same and the engagement changes with who is at the keyboard. A solo builder needs review they do not have. An engineering team needs a pair of hands that works the way they already do. Here is how the work lands for each.
What counts as production ready changes with the sector. A booking tool and a payments flow carry different obligations long before either reaches a user. The method stays the same and the specification changes, because the acceptance criteria are set by the industry the product ships into.
See every sector we build for, the compliance and data obligations that shape a specification inside each one, and the delivery models we use to hold the same standard across all of them.
You have already picked a tool, a backend and somewhere to deploy. We build inside that exact stack, so your prompts, your history and your deploy target stay where they are. Each platform fails in its own way, and the harness is tuned to what each one gets wrong.
01AI App Builders
02AI Code Editors & Assistants
03AI Component & UI Generators
04Backend & Database Platforms
05Deployment & Hosting
06Frameworks in the Generated Code
AI App Builders
The full app generation platforms most vibe coded products start their life on.
Lovable
Full app generation from a natural language brief. We specify the data model and auth expectations before generating, so the pass that produces the app is aiming at something defined instead of inventing its own structure.
Bolt.new
Whole app scaffolds generated in the browser, frontend and backend wired together in minutes. We keep the speed and put input validation, secret handling and query design under review gates on the way in.
Base44
Backend leaning app generation with database schema and API endpoints generated together. We settle data integrity first, because schema decisions made in the first pass are the most expensive ones to revisit later.
Replit
In browser IDE and deploy target with an agent that builds and edits app code end to end. We build in it and add separated environments and a reversible release before real traffic arrives.
AI Code Editors & Assistants
The inline coding tools we build in day to day, working across a codebase file by file.
Cursor
IDE embedded assistant that edits across multiple files inline. This is where most of our build work happens. Slices stay bounded so composed changes cannot drift away from the rest of the codebase.
Windsurf
Agentic editor that plans and applies changes across files. Strong on greenfield work, which is what this page is about. The review gate is what stops a change that passes locally from bypassing validation elsewhere.
GitHub Copilot
Inline autocomplete integrated into every major editor. Individual suggestions are usually solid. The harness exists for the systemic problem, the insecure defaults and duplicated logic that accumulate across hundreds of accepted completions.
Claude Code
Anthropic’s terminal native coding assistant. Sits close to the shell and the repo, so its edits reflect the real project layout. We pair it with a written constitution file so decisions persist across sessions.
AI Component & UI Generators
The tools that generate frontend components and interfaces directly from prompts.
v0 by Vercel
Prompt driven React and Tailwind component generation. Output is strong on look. We specify accessibility, keyboard navigation and state handling up front, so components are built to survive the move into a real app shell.
Backend & Database Platforms
The backends these tools default to, and where the decisions that are costly to undo get made.
Supabase
Postgres, auth and storage, the default backend for many AI generated apps. We write row level security policies, constraints and a migration flow as part of the build, which is the cheapest point to get them right.
Firebase
Realtime database, Firestore and auth, the other common default. We design security rules and query shape together, because read patterns decided early determine the cost curve you live with at scale.
Deployment & Hosting
Where vibe coded apps ship, and what the release path has to look like before real users arrive.
Vercel
Where most Next.js and v0 generated apps ship. We set up staging, preview deploys and a reversible release as part of delivery, so the first production push is routine.
Netlify
JAMstack hosting with edge functions and forms. Build settings, environment variable handling, redirects and headers are configured deliberately instead of being left at defaults.
Railway
Full deploy platform for backend heavy apps. We stand up separated environments, a versioned migration flow, and the monitoring and rollback path any production app requires.
Frameworks in the Generated Code
The languages and frameworks underneath the tool, whichever platform generated the code.
React
The frontend framework most AI tools default to. We fix component structure, state management and hook usage in the specification, so the generated app scales past its first few hundred users.
Next.js
Full framework target for most v0 and Vercel generated apps. Server component boundaries, data fetching and routing are decided before generation, because these are the choices generated projects get wrong most often.
Node.js
The backend runtime most AI tools default to for API generation. Error handling, logging, request validation and authentication middleware are written as part of the build.
Python
Backend runtime for AI heavy apps and services. Dependency management, testing and error handling are specified up front, which is where generated Python most often falls short.
Vibe Coding Platform Comparison
Fourteen things a product needs before real customers depend on it, across the six platforms most vibe coded apps are built in. Every cell links to the vendor's own documentation. Almost every capability exists somewhere on every platform. The work sits in the distance between a documented primitive and a correctly configured one.
Built in coverage by platformselect a platform to highlight its column
Built inVia a third partyPresent but limitedDocumented as absentNot verifiedNot applicable
Vibe coding platform coverage matrix: 14 capabilities by platform and delivery level
Capability
Lovable13/14 built in
Bolt.new11/14 built in
Replit12/14 built in
Cursor1/3 built in
v0 by Vercel7/14 built in
Base4413/14 built in
Generation
Documented core capability
Documented core capability: Bolt Agent
Documented core capability: Replit Agent
Not applicable to this product category
Documented core capability
Documented core capability: Base44 App
One prompt produces frontend, backend and data layer together.
Wherever a platform shows Partial, Via a third party or Not verified, the platform has handed that decision back to whoever is building on it. Guarded Delivery is where those decisions get made and proven.
Mapped from official vendor documentation on 3 September 2026. Open any capability to see how each platform delivers it, with the vendor page behind every claim. 66 of 84 cells are confirmed by a documentation page, 5 are reported from other vendor material, 2 could not be verified either way.
Built in
ships in the platform, documented as a core feature.
Via a third party
available through a named external service.
Partial
present but limited, or needs a documented workaround.
Not present
documented as absent, or the vendor points elsewhere.
Not verified
no vendor documentation found either way.
Not applicable
outside what this kind of product does.
Your Vibe Coding Build Plan In 5 Minutes
Tell us what you are building and which platform you are building it in. We will send back a one page scope with a timeline and an estimate.
Guarded Delivery runs the same three movements in every engagement. What moves is where the review gate sits. At one end your team keeps generating with the AI tools you already use and we hold the gate over everything that merges. At the other end we own the specification, the generation and the gate, and hand back a running product. The five models below are points on that line.
Where the gate sits is the only variable.
Five models built around how much of the generation you keep and how much of the review you hand over. Each one runs Scope, Generate and Harden in that order. What changes is who is at the keyboard, who signs the specification, and who has to approve a slice before it merges.
ScopedBefore we quote
100%Transparent billing
SeniorEngineers only
<500Lines per slice
★Scoped before we generate. Reviewed before it merges.
Vibe Coding as a Service
We own the build end to end. Discovery, specification, generation inside review gates, security pass, and the release. You get a running product and a repository your next engineer can read.
A first product with the scope locked before anything is generated. We hold the gate throughout. Price and milestones are agreed against a written specification, so the number does not move unless the scope does.
Senior engineers working inside your repository and your pipeline, on slices you scope. Your reviewers and ours share the gate. Charged by time and material, so the work can follow the product rather than a plan written months ago.
Your team keeps generating with the tools you already use. We hold the gate on every pull request, with the security and test pass run before anything merges. Over time your engineers stop producing the faults we keep catching, which is the point of the engagement.
Our team delivering inside your existing SDLC, at your change board's pace. The compliance evidence is produced as the work happens, so an audit finds a trail that was written while the code was written.
How many flows the product has to support at launch
Integrations
Every external system the build has to speak to
Data Model Depth
Entities, relationships, and the reporting they have to feed
Compliance Reach
Whether SOC 2, ISO 27001, HIPAA or GDPR shape the specification
Platform Chosen
Each one hands back a different set of decisions
Team Involvement
Whether your engineers build alongside us or hand the work over
What Build Engagements Typically Look Like
Archetype
Typical Scope
Timeline
Guarded MVP
One product, a defined story set, specification through to a reversible release
4 to 8 weeks
Production Build
Full delivery with authentication, permissions, test coverage, pipeline and monitoring
10 to 16 weeks
Enterprise Pilot
Governed delivery inside an existing SDLC, with the compliance evidence produced as work happens
4 to 8 months
Continuous Delivery
Ongoing slices against a live product, scoped and reviewed sprint by sprint
Rolling
Cost tracks the story set and the scope behind it, so we scope first and quote against a written specification. The drivers above are what move the number.
Tell us what you are building and where the product is today. We will send back a written specification, a timeline and a price.
AI Software Security and AI Code Security, Specified Before the First Line Is Generated
On a Guarded Delivery build, security is decided in the specification. A model generates whatever the prompt implies, and independent testing puts 45 percent of AI generated code outside the OWASP Top 10 benchmarks, so the secrets policy, the authentication flows, the input rules and the access model are all settled before generation starts. Each one is verified at the gate before a slice merges. What goes live has already been through the review a buyer or an auditor will ask about.
Specify — All settled before the first line is generated.
Threat modelThe attack surface is written down with the scope.
Secrets policyWhere keys live and who can read them, decided first.
Identity and rolesRoles exist in the schema before the first endpoint.
Data classificationEvery field labelled for sensitivity and retention.
Security arrives with a specification of its own, written before the build even starts.
Generate — The constraints a generated slice works inside.
Prompt and rule filesStandards checked into the repo, applied every run.
Safe by default librariesThe data layer makes unsafe queries hard to write.
Boundary validationNothing crosses the boundary without a validation rule.
Slice size limitUnder 500 lines, so a human can actually review it.
The model works inside rules that were agreed, so review starts from a known baseline.
Gate — What every slice has to pass before it can merge.
Human review, every sliceA senior engineer reads it before the merge button.
Automated security scanSAST, dependency and secret scanning on every branch.
Test and coverage floorA slice without its tests does not reach the branch.
Reversibility checkThe rollback path is tested before the first release.
Nothing reaches your production branch until a person and a pipeline both sign it off.
Evidence — The record a buyer or an auditor asks to see.
SOC 2 and ISO 27001 alignmentControls and evidence assembled as the build runs.
GDPR and data residencyWhere data lives and how long is a schema decision.
Audit trailLogging is specified with the data model it records.
Diligence packArchitecture, tests and scans, ready to hand over.
The evidence exists because the work produced it, which makes diligence a handover.
What Enterprise Vibe Coding Has to Prove
A vibe coding build faces the same audits as anything else an enterprise buys. Which of these standards applies is settled before generation starts, because each one changes something concrete: the data model, the access rules, the retention policy, or the evidence the pipeline has to emit. We hold the same certifications ourselves, so the controls we specify are the ones we already run.
EU AI Act
NIST AI RMF
SOC 2 Type II
GDPR
HIPAA
ISO 27001
A product built inside these frameworks does not need a compliance project afterwards. The controls, the audit trail and the documentation come out of the build itself, so the first external review has something to read on day one.
Every product shape brings its own decisions, and a model will guess at them unless the specification says otherwise. These are the twelve we build most often, so the permission rules, the data model and the integrations that cannot tolerate a retry are already known before generation starts.
SaaS MVPs & Dashboards
AI Chatbot & Wrapper Apps
Internal Tools & Admin Panels
Two-Sided Marketplaces
Booking & Scheduling Apps
Community & Social Platforms
E-Learning & Course Platforms
Content Generation Tools
FinTech & Budgeting Apps
Property & Real Estate Listings
Field Service Apps
Consumer Mobile Apps
The shapes repeat, so the specification for yours starts from ground we have already covered.
Every product here had its scope settled before generation started, and every one passed the same gates on the way out. Different industries, different stacks, one delivery standard.
What is the best vibe coding tool for a production build?
There is no single answer, and the honest version is that the tool matters less than what happens after it generates. Each platform hands back a different set of decisions, which is what the platform comparison on this page sets out. We build inside the one you have already chosen. If you have not chosen yet, we recommend one against your stack, your compliance reach, and who is going to maintain the result.
How do you vibe code an app properly?
Scope, generate, harden, in that order, with a review gate between each. The specification comes first and fixes the story set, the data model and the integrations. Generation then happens in slices small enough for one person to read end to end. Nothing merges until a senior engineer and the pipeline have both passed it, which is what keeps the speed without handing you a codebase nobody understands. The approach section sets out the full sequence.
How much does a vibe coding development project cost?
We scope first and quote against a written specification, because the number tracks the story set and the scope behind it. What moves it is the flows you need at launch, the integrations, the depth of the data model, the compliance reach, the platform, and how much your own team builds alongside us. A Guarded MVP runs 4 to 8 weeks and a production build 10 to 16.
Does vibe coding actually work for production software?
It works when the review keeps pace with the generation. A controlled trial put developers with an AI assistant 55.8 percent faster on task completion. A 2025 METR trial found experienced developers 19 percent slower on real work while believing they had been faster. Veracode puts 45 percent of AI generated code outside the OWASP Top 10 benchmarks. Guarded Delivery exists to close that gap.
How does vibe coding development differ from traditional development?
The engineering is the same. What differs is where the first draft comes from and how much review that draft needs. A typed first draft carries the intent of the person who typed it. A generated one carries whatever the prompt implied, so the specification has to be written down before generation rather than discovered while typing, and every slice is read before it merges. The saving is in producing the draft. The discipline is in what happens next.
Is vibe coding viable for an enterprise product?
Yes, when delivery runs inside your existing SDLC and produces its evidence as it goes. Enterprise engagements are governed by your change board, with the controls, the audit trail and the documentation coming out of the build itself. The standards section on this page lists what we work to.
How is this different from your Digital Engineering service?
Vibe coding development is a delivery method inside our Digital Engineering service line, not a separate practice. The engineers, the review standard and the compliance posture are the same ones described on the Digital Engineering page. What changes is where the first draft of the code comes from, which is why the review gates are written down here.
We have already started building. Can you take it over?
Yes. We read what exists, write the specification around it, and carry on from there under the same gates. If what you have is a prototype that stalled and needs hardening before it can launch, our vibe coding cleanup service covers that path instead.
Who owns the code, the specification and the repository?
You do, from the first commit. Work happens in your repository and your pipeline where you have them, and where you do not we set them up in your accounts. The specification, the threat model and the test suite are handed over with the code.
What do you need from us to start?
A conversation about what the product has to do, who uses it, and what it has to comply with. From that we produce a written specification carrying the story set, the data model and the integration list, and we price against it. Nothing is generated before you sign that off.
DM Us
