Your codebase works.
Your team could ship faster.
Releases take longer every week. AI tools can't reason about the code. Rekindle brings your codebase under AI-native development practices so shipping stops being the bottleneck.
Technical debt is now AI debt.
Your codebase works. But it was built before AI-native tooling existed. That means AI assistants cannot reason about it, tests are thin or missing, and every new feature takes longer than it should.
Low or zero test coverage
AI-generated refactors are only safe if tests catch regressions. Without coverage, every AI-assisted change is a gamble your team will not take.
Dependency bloat
Large dependency trees mean large blast radii. AI tools struggle to reason about tightly coupled modules with unclear boundaries.
Handoff-heavy workflows
Designers spec, engineers implement, QA catches drift. Three handoffs that a Designer+AI workflow can compress into one.
Three ways in.
Start with the Audit to pressure-test fit. Move to a Sprint or an Embedded quarter once we know the codebase.
Rekindle diagnostic
7 daysShort, fixed-scope engagement. We audit your codebase, identify the real blockers (coverage, dependencies, architecture, AI-tooling readiness), and write a prioritized modernization plan. No obligation to continue.
- Codebase audit report with findings and risks
- Prioritized modernization plan
- Codebase AI-Readiness scorecard
- Honest answer on whether Sprint fits, or not
Codebase uplift
2 to 4 weeksWe come in, write the test suite, reduce the dependency surface, and set up AI-native dev workflows. You get back a codebase your team can develop against with AI tools that actually work.
- Comprehensive AI-generated test suite
- Reduced and audited dependency tree
- AI-native development workflow configs
- Merged pull requests, not a Google Doc
Team transformation
One quarterEverything in the Sprint, plus we embed with your team for a full quarter. We pair designers with AI, show engineers how to use agentic coding effectively, and measure the velocity change against a baseline.
- All Sprint deliverables
- Designer+AI production workflow
- Team training on AI-native practices
- Velocity metrics (before and after)
- Sustained adoption playbook
Pricing is scoped to the codebase. Every engagement starts with a short qualification call. If Rekindle is not the right move, we will tell you.
Where we have done this.
Real engagement, real numbers.
IIDM
IIDM had a production codebase that worked but could not keep up with AI-native development. We ran a Rekindle Sprint: generated test coverage in a day, reduced dependencies by 40%, and restructured the code so their team could use AI coding tools effectively. The engagement paid for itself within one quarter.
For greenfield founder work, see Gritwell: zero to MVP in 4 months, $3M raised, preparing Series A.
What clients ask.
Your codebase has more life in it.
Start with the 7-day Audit. Fixed scope, fixed price, honest answer on whether Rekindle is the right move. No commitment to continue.