How We Work
Senior-team output at small-firm speed — here's exactly how.
AI-native delivery, explained honestly
ChromaWave is a member of the Claude Partner Network — we build AI solutions for our clients.
No magic, no hype. AI-augmented engineering handles the mechanical volume of software work, and senior engineers own everything that requires judgment. The division of labor is simple, and it is the same one every serious engineering team is converging on — we just got there early.
What the AI doesThe mechanical volume
- Scaffolding, boilerplate, and project setup
- Migrations and repetitive refactors
- Test coverage and edge-case generation
- First drafts of well-specified features
- Documentation kept current with the code
What senior engineers doEverything that requires judgment
- Architecture and system design
- Reviewing every line before it ships
- Scoping, trade-offs, and judgment calls
- Security, data handling, and integrations
- Talking to you — no telephone game
The result is 3–5× the throughput of a traditional team without 3–5× the cost — not because the machines are clever, but because senior engineers stop spending their week on work a machine does well. And we don't ask you to take that on faith: we run our own products this way.
GoodPAW
Used by 100+ field professionals on live sites every day
EstiMate
Contractor estimation, built from real quoting workflows
Sweep Testing Analyzer
Turns raw instrument test data into submission-ready reports
The delivery model
Four steps, no mystery. The same model whether the build is four weeks or four months.
Scope in days, not weeks
We turn your problem into fixed-scope milestones with written acceptance criteria — what ships, when, and what "done" means. You know the shape and cost of the engagement before work begins, not after.
Weekly shippable demos
Every week you see working software, not a status deck. If a demo misses the mark, we course-correct in days — the feedback loop is the whole point of building this way.
Production from week one
Real environments, real data, and real users as early as possible. Software that only runs on a laptop is a liability; we deploy early so the risky unknowns surface while they are still cheap to fix.
Launch with support
Every build is warrantied and includes a handful of adjustments after launch. Anything beyond that is scoped and billed as additional consulting, so you always know what you are paying for.
What you always get
Standard on every engagement. Not negotiated, not an upsell.
Warrantied work
Every build we ship is warrantied, so what we deliver does what we agreed it would.
Fixed-fee milestones
You pay for defined deliverables, not hours. Budget surprises are our problem to prevent, not yours to absorb.
Direct access to builders
You talk to the people writing the code. There is no account-manager layer between you and the work.
Post-launch adjustments
A handful of adjustments after launch come with every build. Anything beyond that is scoped and billed as additional consulting — never as a surprise.
Security-conscious defaults
Least-privilege access, secrets kept server-side, and dependencies we can defend — from the first commit, not as a cleanup phase.
Questions you were going to ask anyway
What if scope changes mid-build?
It happens, and the milestone structure is built for it. Small adjustments get absorbed into the current milestone. Bigger changes become a written change order with its own price and timeline before we build it — so scope never drifts silently and you never get a surprise invoice. Completed milestones are never retroactively repriced.
Do you work with our existing team and stack?
Yes. Most engagements plug into an existing codebase, cloud account, or in-house team. We work in your repos and your review process where you have them, and we would rather extend your stack than rewrite it — rewrites are recommended only when we can defend the math.
How do you use AI on client code, and what about confidentiality?
AI-augmented engineering happens inside accounts and API agreements where your code is not used to train models. Access is scoped to the engagement, secrets never go into prompts, and every AI-produced line is reviewed by a senior engineer before it ships. We will happily walk through the specifics — tools, data handling, and agreements — before you share anything, and we sign NDAs as a matter of course.
See if this fits your project
A 30-minute call is enough to tell you whether we're the right shop — and roughly what your build would take.