Cursor, Claude Code, and Replit got your product to market in weeks. 18 months later your engineers navigate handleStuff() functions, 500-line files doing 17 things, and variables named temp1 through temp47. Pre-Series A due diligence is coming. SOC 2 is coming. We prioritize the debt, refactor in safe batches, and leave your team with a codebase they can actually ship against.
Atlanta startups that shipped on Cursor or Claude Code are now facing fundraise due diligence with codebases full of AI-generated debt. We prioritize the debt, refactor in safe batches, and leave your team with a codebase that passes scrutiny. Built for Atlanta B2B AI companies on a pre-Series A timeline.
You built it fast because you had to. Cursor wrote your auth flow in a weekend. Claude Code scaffolded your API. Replit agents generated half your React components. The product works. Customers pay. Then you tried to ship a meaningful feature last month and it took three weeks instead of three days. Your new senior hire spent their first 10 days just mapping what does what. Your tests are failing in ways nobody understands. Pre-fundraise technical due diligence is scheduled. A prospect's security team just requested a code review. Here's the uncomfortable truth: AI coding tools optimize for shipping, not for maintaining. They generate code that passes in the moment and accumulates debt you can't see. Traditional refactoring consultancies cost $50K-$200K and take 6 months — by the time they're done, the AI-generated code from last quarter is already legacy. You need something built for this new reality: fast, prioritized, safe-to-ship cleanup specifically for AI-generated codebases.
Functions named handleStuff() and variables named temp1-temp47 are in production
AI coding tools optimize for shipping, not naming. Your codebase has functions nobody remembers the purpose of, five-hundred-line files doing seventeen things, and variables that mean nothing outside the 90 seconds they were generated. Every new engineer pays the cost.
Technical due diligence will surface what you can't see
Series A investors run technical DD. Enterprise customers run code reviews before signing. SOC 2 auditors flag code quality signals under CC7.1. The gap between 'it works' and 'it can be audited' is where bad deals die — and AI-generated codebases fail these reviews disproportionately.
Shipping velocity compounds in reverse
Teams that shipped features in days now spend weeks untangling code no single engineer fully understands. What looked like a speed advantage in month 3 becomes a speed liability in month 18. The debt isn't abstract — it's measurable in story points that no longer close on schedule.
AI code generation is changing how software gets built. It is also creating a new kind of technical debt that most teams do not see until it is too late.
— AI Engineering Research, AI-Generated Code Is Creating a New Kind of Technical Debt (2026)A prioritized refactoring service built specifically for AI-generated codebases. We scan your repo, map the highest-risk debt, sequence fixes in a safe order, and refactor in approved batches. Starts with a $2K-$10K one-time audit (targeted at pre-fundraise or SOC 2 prep) or ongoing $500-$2K/month cleanup retainers. Covers JavaScript, TypeScript, Python, and Ruby — where AI-generated volume is highest.
Get StartedAST-level codebase scan with debt prioritization
We parse your abstract syntax tree to identify every instance of: cryptic naming, god functions, duplicated logic, missing documentation, inconsistent patterns, dangerous shortcuts. Each finding gets priority-ranked so you don't try to fix everything at once and break production.
Safe refactoring sequence (not big-bang rewrites)
We sequence changes so each batch is independently deployable. You review and approve each batch before merge. No massive PRs that nobody can review. Typical cadence: 2-5 PRs per week, each 100-400 lines, each with clear before/after diff.
Documentation generated inline during refactor
Every refactored function gets a docstring explaining what it does and why. Every module gets a README stub. Every refactor commit message explains the reasoning. When your next engineer joins, onboarding time drops from 2 weeks to 2 days.
Pre-DD and pre-SOC 2 hardening
For fundraising and compliance-prep engagements: we flag specific patterns auditors and investors look for. Hardcoded secrets, missing input validation, unchecked error paths, logging that leaks PII, dependency vulnerabilities. Fix before they become findings.
Test coverage preserved (and increased where critical)
Refactoring breaks tests when done carelessly. We preserve your existing test suite, fix breakage from renames, and add targeted tests for any high-risk refactor path. Not a coverage goal — just enough to prove nothing regressed.
You grant read-only access to your repo. Within 48 hours we send a written triage: top 5 debt hotspots by file/module, estimated cleanup effort, and honest assessment of whether an audit or ongoing retainer is the right fit. Zero obligation. We don't push work we don't think is needed.
Full AST scan. Written prioritization: critical debt (ship-blocking), high-risk debt (security/DD exposure), maintenance debt (velocity drag), and nice-to-have (cosmetic). You approve scope and pace.
We ship 2-5 PRs per week. Each PR ≤400 lines. Each PR has before/after summary. Your team reviews and merges at your own pace. No work lands without your approval. Staging deployment + automated test run before any merge request.
Inline docstrings. Module-level READMEs. Architecture decision records for non-obvious patterns. Onboarding guide updated reflecting new structure. All of this happens AS we refactor, not as a separate phase.
Final review of the refactored state. Pre-commit hooks configured (linting, naming conventions, complexity caps). CI rules added to prevent regression. Written playbook for your team: how to avoid generating the same debt again with AI coding tools.
AI-assisted software development researcher — published analysis of the emerging tech debt category specific to AI-generated codebases
Our methodology is built on proven frameworks
We do NOT rewrite your product. We refactor what exists. If your codebase is so far gone that rewrite is the right answer, we'll tell you honestly during the triage — sometimes the best advice is 'sunset this service, rebuild in a greenfield repo, migrate customers over 6 months.' That's a different engagement, and we'll refer you to specialists rather than pretend we can rescue every codebase.
One-Time Audit
$2,497
Full Pre-Fundraise Cleanup
$9,997
Ongoing Cleanup Retainer
$1,997/mo
15 minutes. We'll diagnose exactly what's holding you back and tell you whether we can help — no pitch, no pressure.
Free Resource
Grant us read-only access to your repo. Within 48 hours we send a written triage: top 5 debt hotspots by file/module, estimated cleanup effort for each, and honest assessment of whether you need an audit, a full cleanup, a retainer, or none of the above. No obligation. We turn away engagements where the work wouldn't justify the spend.
The right time to refactor AI-generated code is 4-8 weeks BEFORE your raise, audit, or big enterprise deal — not after the diligence finds it. Triage is free, honest, and sometimes ends in 'you don't need us yet.'
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