Bug Triage and Fixes
Root-cause fixes for the recurring bugs that AI-assisted development tends to leave behind.
Code Quality Improvement
Code quality improvement is the remediation work for messy, no-code or AI-generated codebases: refactoring tangled logic, adding the test coverage skipped at the prototype stage, and closing the security gaps common in vibe-coded apps. It's the fix itself, not another diagnosis, so if you already have an audit and a prioritized fix list, this is where it gets executed, typically over 2-4 weeks and without a full rewrite.
We clean up messy, no-code, or AI-generated codebases: refactoring tangled logic, adding the test coverage that got skipped at the prototype stage, and closing the security gaps common in vibe-coded apps. This is the remediation work itself, not a diagnosis. If you already have an audit and a prioritized fix list, this is where we execute it.
2-4 Weeks
Typical Engagement Length
Deployable Throughout
Refactor Approach
What Code Quality Improvement Actually Involves
1
Refactoring AI-Generated Code
- Untangling repeated logic and dead branches left behind by iterative prompt-and-paste generation
- Extracting business logic out of components that mix UI, data fetching, and validation in one block
- Replacing copy-pasted API calls with a single typed client layer
- Normalizing inconsistent naming and file structure across features built at different times
2
Test Coverage From Zero
- A baseline suite for the critical paths first (auth, payments, the core workflow) before touching anything else
- Unit tests for business logic, integration tests for API routes, smoke tests for the main user flows
- Regression tests written against the exact bug being fixed, not generic coverage padding
- A CI pipeline that runs the suite on every pull request before merge
3
Security Hardening
- Fixing exposed API keys and secrets committed to the repo or hardcoded into client-side code
- Closing missing auth checks on API routes, a common gap in AI-scaffolded backends
- Input validation and sanitization on every user-facing endpoint
- A dependency audit for known CVEs and unmaintained packages
4
Architecture Cleanup
- Splitting monolithic files, some AI-generated codebases have components running past a thousand lines, into maintainable modules
- Establishing one consistent data-fetching pattern instead of five different ways of calling the same API
- Removing unused dependencies and dead code paths that bloat build size
- Documenting the resulting structure so the next engineer isn't reverse-engineering it from scratch
5
Type Safety and Static Analysis
- Migrating loose JavaScript or any-typed TypeScript toward strict type coverage
- ESLint and Prettier configuration enforced in CI, not just recommended in a README
- Fixing type errors that were previously suppressed with a ts-ignore comment
- Catching a class of runtime errors at compile time instead of in production
Code Quality Services
The remediation work itself, not another diagnosis
Test Suite Buildout
Unit, integration, and smoke tests added to codebases that shipped with little or no coverage.
Security Hardening
Auth checks, input validation, secret rotation, and dependency CVE remediation.
Refactoring
Breaking up monolithic files and mixed-concern components into maintainable modules.
TypeScript Migration
Moving loose JavaScript or any-typed code toward strict, enforced typing.
Architecture Cleanup
Consistent data-fetching, state management, and folder structure across the app.
Dependency Audit
Removing unmaintained packages and resolving known vulnerabilities.
CI/CD Setup
Automated test runs and lint checks on every pull request before merge.
Why Founders Trust Us With a Messy Codebase
We fix in place, not from scratch
A rewrite throws away everything that already works. We refactor incrementally so your product stays live and deployable at every step.
We've seen the AI-generated patterns before
Vibe-coded apps tend to fail in predictable ways: duplicated logic, missing auth checks, inconsistent state handling. We know where to look first.
Tests before refactors
We write regression tests for a module before touching its logic, so a fix is verified, not just assumed to have worked.
Fixed scope, not open-ended hours
We scope the cleanup against a defined list of issues and agree on it with you before work starts.
Why Founders Trust Us With a Messy Codebase
We fix in place, not from scratch
A rewrite throws away everything that already works. We refactor incrementally so your product stays live and deployable at every step.
We've seen the AI-generated patterns before
Vibe-coded apps tend to fail in predictable ways: duplicated logic, missing auth checks, inconsistent state handling. We know where to look first.
Tests before refactors
We write regression tests for a module before touching its logic, so a fix is verified, not just assumed to have worked.
Fixed scope, not open-ended hours
We scope the cleanup against a defined list of issues and agree on it with you before work starts.
Code Quality Improvement FAQ
An audit is diagnostic: it produces a prioritized list of issues with severity and effort estimates, but it doesn't touch the code. Code quality improvement is the remediation work itself, actually refactoring the flagged modules, writing the missing tests, and closing the security gaps. Most engagements start with an audit and move into remediation once the client has the fix list in hand.
Yes, this is most of what we see. AI-generated codebases tend to share the same failure patterns: duplicated logic from iterative prompting, missing server-side auth checks, inconsistent state management, and little to no test coverage. We've refactored enough of these to know where the recurring issues hide.
Only if the audit shows the architecture itself is the problem, which is rare. Most vibe-coded or early-stage codebases have salvageable structure underneath the mess. We refactor module by module and keep the app deployable throughout, which is faster and lower-risk than a full rewrite.
We write tests for a module's existing behavior before changing its internals, then refactor against that safety net. Changes ship as small, reviewable pull requests rather than one large rewrite, so a regression gets caught in a specific PR instead of surfacing in production weeks later.
It depends on codebase size and how much technical debt is present. A focused cleanup on a single problem area, adding auth checks and tests to one module, for example, can run one to two weeks. A full-codebase pass covering refactoring, test coverage, security hardening, and dependency cleanup typically runs three to six weeks.
Enterprise-Grade Engineering is for systems that have already scaled and need SOC 2/HIPAA compliance, multi-region high availability, and SLA-backed uptime. Code Quality Improvement is for earlier-stage codebases, often AI-generated or built quickly by a non-specialist team, that need baseline hygiene: tests, dependency fixes, basic security checks, before they can support more users or survive a technical due-diligence review. If you're already past that stage and need compliance-grade hardening, start with Enterprise-Grade Engineering instead.
Trusted by Global Companies Building AI Products
We've helped startups and enterprises worldwide transform their AI ideas into production-ready MVPs in 2–3 weeks. From fintech platforms to AI assistants, our global MVP development services have launched 18+ AI products serving users across the US, Europe, and Asia.
Portfolio: AI Products Built for Global Startups
From content platforms and AI assistants to analytics dashboards and fintech solutions: see how we've transformed ideas into production-ready MVPs in 2-3 weeks across diverse industries. Each product here is one our team worked on.
UseArticle
AI-powered content creation and management platform that helps teams produce high-quality articles at scale.
AgentHi
Intelligent virtual assistant that streamlines customer support and automates routine business tasks.
StatsHub
Comprehensive analytics dashboard providing real-time insights and data visualization for businesses.
Harimaxx
Personal fitness companion with AI-driven workout plans and nutrition tracking for optimal health.
Vaga
Smart travel planning app that curates personalized itineraries and local experiences.
FoodScan
Nutrition analysis app that scans food items and provides detailed nutritional information instantly.
MyJobReach
Job matching platform connecting talented professionals with their dream opportunities.
TravelGram
Social platform for travelers to share experiences, discover destinations, and connect globally.
SuperStatz
Advanced sports statistics platform delivering in-depth analysis and performance metrics.
Cashbook
Simple expense tracking and budgeting app that helps users manage their finances effortlessly.
TypeFast
Typing speed improvement platform with gamified lessons and real-time performance tracking.
Easy Loan
Streamlined loan management system that simplifies borrowing and lending processes.
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