{ For agencies, dev shops, & consultancies }
Build faster for your clients. Protect the work that earned you the gig.
How Codira helps a software company ramp onto new client codebases in hours instead of weeks, protect margin on fixed-bid work, and keep ai-generated bugs from landing in client demos.
For agencies, dev shops, and consultancies billing on client engagements — where every hour your team spends fighting ai output instead of shipping is a margin hit you can’t pass through.
Download for macOS{ The problem }
What makes agency work different.
You don’t have one product, one codebase, one team that knows it inside-out. You have a portfolio of engagements, each with its own stack, its own inherited debt, its own deadline you’re billing against. The economics are unforgiving in different ways than a SaaS company’s.
{ What Codira is }
Built for engineers who ship for clients, not for vibes.
Codira is a native macOS engineering environment built around a team of ten specialized ai agents — instead of asking one model to be good at everything, each phase of building hands off to the agent optimized for it: planning, implementation, code review, security scan, test generation, codebase Q&A, failure diagnosis, design review.
On top of that, six deterministic checks run on every patch. These aren’t more ai deciding if the code is OK — they’re TypeScript parsers that catch the failure modes single-model copilots silently ship: dropped exports, hallucinated imports, placeholder code that looks finished but does nothing, mass rewrites disguised as small edits.
For an agency, the most important word in that paragraph is silently. Bugs you can’t see are bugs the client finds. Codira’s job is to make sure they don’t leave your shop.
{ Day to day }
What changes for a client engagement.
Five concrete shifts your team will feel on the next project you start.
/explain, gets a 5-section guided tour: stack, architecture, entry points, conventions, suggested follow-ups. The first billable hour turns into a real understanding instead of a Tuesday-of-week-2 still-grepping-for-where-auth-lives./plan. Across a 12-engineer team that’s ~60 saved engineer-hours per week — pure margin on fixed-bid work, or 60 more billable hours on hourly contracts. Your call.{ The math }
One hour saved per engineer per day, at your billable rate.
The agency ROI math is different from a product company’s. Hours saved aren’t just labor-cost savings — they’re either margin you keep (fixed-bid) or revenue you bill (hourly). Numbers below assume $150/hr billable and one saved hour per engineer per day (conservative — heavy users report 2–3):
Onboarding savings compound. A new engagement where your engineer ramps in 1 day instead of 5 saves you ~$4,800 in billable time per project — or recovers that time as margin if the engagement is fixed-bid. Across 10 client engagements in a year, that’s another ~$48K on top.
{ vs Cursor / Copilot / Windsurf }
What matters most for client work.
Single-model copilots optimize for “help me type faster.” Agency engineers need different things: ramp onto unfamiliar codebases fast, catch bugs before the client demo, train juniors without senior bandwidth being the bottleneck. The gap is structural, not preference.
| For client work… | Codira | Single-model copilots |
|---|---|---|
| Onboarding to new codebases | /explain — guided tour in minutes, file:line refs | Manual grep + read until familiar (days) |
| Patch verification | 6 deterministic guards + Reviewer agent | None — model's output is final |
| Runtime checks | UAT auto-fires after every apply, catches console errors | Discover in QA or client demo |
| Failure analysis | Root cause + 2-3 fix candidates | "Retry?" (or copy/paste error into ChatGPT) |
| Multi-agent architecture | 10 specialized agents, each with one job | One model attempts everything |
| Native performance | Tauri (~25 MB, sub-second cold start) | VS Code fork — Electron, 600 MB+ |
{ Honesty }
What Codira is not.
We’d rather you know up front than feel surprised mid-engagement.
{ How to try it }
Pilot on your next engagement.
The fastest way to know if Codira fits your shop is to put it to work on the next new client codebase that lands. Pick one engineer, one engagement, two sprints. Track these four numbers against your baseline:
If the math doesn’t pencil for your shop, you walk away with two sprints of real data and we wish you well. If it does, you stay — and your next engagement starts faster than the last one.