Know what to fix first in your codebase
We take repos of 50k to 500k lines and deliver a technical-debt map prioritized by impact on velocity, security and operating cost. Claude Opus 4.7 + static analysis + workshop with your team. In 5-10 business days.
Your codebase is blocking business decisions
Your team takes weeks to touch legacy code
Every bug fix turns into archaeology. Nobody trusts which file to touch without breaking five more.
Nobody knows what is safe to delete
The "fear commit" freezes refactors. Dead code piles up and pushes maintenance cost up every quarter.
New devs take 3-6 months to contribute
Without docs, tests or an architectural guide, ramping up a senior hire costs USD 25-40k in lost time.
You do not know which stack to modernize first
Many options (Kubernetes, event-driven, Rust, monorepo) — little certainty on which moves the business needle.
Claude Opus 4.7 + static analysis + team workshop
Not an automated scan spitting out 3,000 warnings. A context-aware audit: AI reasoning over your specific code, cross-checked with Semgrep/SonarQube and validated in a workshop with your senior devs.
Ingest and map
We clone the repo, map modules, dependencies, churn hotspots and per-file ownership. We interview 2-3 senior devs to understand historical context.
AI + static analysis
Claude Opus 4.7 flags technical debt, security risks, anti-idiomatic patterns and estimated refactor cost. Cross-checked with Semgrep, SonarQube and dependency scanners.
Prioritized plan + workshop
Deliverable with the top 20 issues prioritized by ROI, a 3-month roadmap, and a 2-hour workshop with your team to transfer knowledge and kick off execution.
Where we are already shipping
200k LoC SaaS (Node/React)
We found 30% dead code, mapped 4 candidates for monolith split and prioritized migration to Cloudflare Workers for cost/latency. CTO made the architecture call in 1 week instead of 3 months.
Typical ROI
USD 4-6k/mo saved on compute + 40% faster deploys
10-year-old PHP + MySQL
We identified 12 XSS vectors and 3 historical SQL injections in production. We prioritized patches by business impact (checkout > admin > blog) so releases were not frozen.
Typical ROI
15 CVEs closed in 3 weeks with no feature freeze
Rails startup evaluating a rewrite
We validated feasibility of migrating to Elixir/Phoenix. Recommended NOT to migrate and to refactor 3 specific Rails modules instead. Founder saved USD 180k of an 8-month project.
Typical ROI
USD 180k avoided on an unnecessary migration
AI with context + static analysis + methodology
We combine Claude Opus 4.7 reasoning over your code with battle-tested static analysis. AI brings context; the tools bring coverage and determinism.
Models
- Claude Opus 4.7 (xhigh effort)
- Adaptive thinking
- Task budgets
Static analysis
- Semgrep
- SonarQube
- Dependency scanners
- Code churn / hotspots
Languages
- TypeScript / JavaScript
- Python
- PHP / Ruby
- Go / Elixir
Deliverables
- PDF report + Notion
- Grafana dashboard
- 2h team workshop
- 3-month roadmap
From free diagnostic to ongoing retainer
Diagnostic
Free
60 min · public repo or demo
- Discovery call
- Surface-level repo review
- 3-5 prioritized findings
- Sprint estimate
Sprint audit
USD 4,500 - 9,500
one-shot · 5-10 business days
- Single repo up to 500k LoC
- AI + Semgrep + SonarQube analysis
- Interviews with 2-3 senior devs
- Top 20 prioritized issues with ROI
- 2h workshop with your team
Ongoing retainer
USD 800 - 2,500 / mo
recurring audits + PR reviews
- Quarterly re-audit
- AI review of critical PRs
- Dependency security alerts
- 48h response SLA
- Roadmap updates
What people ask before signing
The Sprint covers up to 500k lines in a single repo (roughly a mid-size SaaS). Larger repos or multi-service monorepos are quoted separately. The Retainer covers up to 3 repos per quarter.
Know your codebase debt before the next hire
In 60 minutes we look at your repo and tell you whether an audit sprint makes sense. If your codebase is healthy, we tell you that too.