Senior engineers architect and review every line. AI agents draft and build at department scale. You get one team's judgment with a swarm's throughput.
years of experience
active repos
human-reviewed
response time
How we work
The stack is built for AI from the inside out. Agents run in isolated environments, routed by our own framework, reviewed by a senior engineer before shipping. The math works because we built the tools.
A feature, a bug list, a vague idea, an ambitious roadmap. We read your codebase, ask three sharp questions that surface the hidden assumptions, and come back with a written brief by end of day. Scope, approach, timeline, risks, success criteria. That brief becomes the plan.
Work fans out across a fleet of specialized AI workers — architects, builders, reviewers, debuggers. Each one runs in isolation, briefed on your stack conventions, your code style, your voice. They parallelize across features or go deep on a single problem. No bottlenecks. No handoff chaos.
Nothing ships without a human reading it. Every PR, every commit message, every deployment decision goes through a senior engineer first. The AI drafts fast. The human judges hard. We catch edge cases agents miss, push back on shortcuts, enforce standards. The AI never talks to your team. You hear only from us.
Commits arrive in human-friendly chunks. PRs land at a pace that lets you review, integrate, and deploy without context whiplash. Daily async updates keep you looped in without eating your calendar. One interface, one contact, one team — with the output of a department running at senior standard.
Nothing reaches you that has not been reviewed by a human.
The AI never talks to the client. That separation of concerns is not a limitation — it is the whole point.
Case studies
Twenty years across e-commerce, AI tooling, audio production, retail infrastructure, internal platforms, and consumer apps. Clients stay anonymous by default. The work speaks.
Built a production-scale pipeline for influencer-driven e-commerce with thousands of products that needed intelligent metadata and categorization. Deployed a custom vision LLM pipeline that classifies content at scale, with human review gates on every low-confidence result.
items classified
accuracy
lower than manual
Built a suite of music and audio tools: deep integrations with streaming APIs, generative audio testing for creator workflows, and a dedicated sales surface. Three repositories, one team, one vision. Domain-specific engineering in a vertical most agencies cannot touch.
repos shipped
APIs integrated
team, end to end
An iOS app that turns text messages into AI-generated songs. Multiple music generation API integrations, real-time audio processing, lyrics synchronization, StoreKit subscriptions, A/B testing, and analytics. Live on the App Store with real paying users. From concept to shipped product in weeks.
AI APIs integrated
on the App Store
team, end to end
Custom e-commerce storefront for a European retail market with real-time inventory sync from a legacy accounting system. Two-way communication, compliant payments, purpose-built infrastructure. Not a template, not a plugin — the right thing for a specific market.
real-time sync
compliance
plugins required
The multi-client operations platform we built for ourselves. Task aggregation, live agenda dashboards, AI briefing, human review, deployment orchestration. We eat our own cooking — every process we learned from clients, we automated for ourselves. This is what you get when you hire us.
platforms aggregated
queue, auto-prioritized
live dashboards
End-to-end consumer product from vision to live application. Frontend, backend, infrastructure, monitoring, the whole chain. Novel UX patterns. Careful performance tuning. Live today, users engaging, the team owns every layer. We focus on products that stay live, not features that get abandoned.
stack coverage
in production
by the team
Process deep-dive
Six stages, every feature, every time. It looks like waterfall on paper. It runs like fluid parallelization in practice. You see one touchpoint; the team moves fast; the product ships.
Contract signed, repo access granted. We start the same day. No onboarding calls. No intake forms. We read your codebase, your data schema, your deployment path, your conventions. By end of day, we know your stack as well as your team does.
Within 24 hours, you have a written plan. Scope with explicit in/out boundaries. Technical approach. Timeline. Dependencies. Risks with mitigations. A concrete success metric. You review it async and reply when it suits your calendar. One round of alignment, then we execute.
Work spins up. An architect agent drafts the system design. A builder agent writes the code, referencing your existing patterns and style. A test agent writes coverage alongside the feature. Frontend and backend work happen at the same time. No queues. No waiting. Parallelization is the whole point.
A senior engineer reads the diff line by line. Is the error handling complete? Is the query efficient? Are the tests real or happy-path theater? Do the migrations roll back cleanly? The review is not a rubber stamp. It is judgment. Code is revised until it is right.
A working PR lands in your repo. You can read it, test it locally, merge it on your schedule. No pressure. No deadline on your side. You own the final merge. You own the deployment. We make that as friction-free as possible.
The feature goes live. We watch errors, logs, performance. If something breaks, we respond within the hour. If a bug emerges, we patch it. A week later, we check in async: is it working as intended? Anything to adjust? If so, we iterate. We do not hand off and walk away.
Internal tooling
Most agencies bolt AI onto a generic project tool. We built the framework, the dispatch layer, the per-client voice profiles — every piece — so the work flows through one pipeline we control end to end. The process is transparent. The implementation stays ours.
Routes work to specialized AI workers — architects, builders, reviewers, debuggers. Each runs in an isolated environment with a fresh snapshot of your repo. Nothing leaks between tasks. Nothing leaks between clients. No LangChain. No CrewAI. We built the coordination layer ourselves — full control over prompt construction, retry behavior, token budgeting, output validation, failure routing.
Agents coordinate through an append-only task log — every claim, every progress update, every completion is an immutable record. Full decision trail, zero write conflicts, built-in auditability. Tasks flow from any source — ClickUp, Asana, Trello, GitHub — into a single auto-prioritized queue, bidirectionally.
Every agent maintains partitioned memory — interaction history, domain knowledge, workflow definitions — scoped to the agent and the client. No bleed between agents. No bleed between accounts. Context is precise, not polluted. Multi-tenancy from day one, not retrofitted.
Every project has a live agenda page. Current state, active branches, task queue, what shipped today, what is in review, what is blocked. Updated by agents in real time. Glance at it any time. No status pings. No standups. The answer is always one URL away.
Every engagement ships with a written voice guide the AI loads before drafting anything. Code comments sound like a senior engineer. Commit messages match the culture. The output feels native, not generated. The AI never sounds like an LLM because it never starts from scratch.
Nothing moves to Ship without passing a senior engineer review. Every single time.
Capabilities
Mobile, web, backend, infrastructure, AI, design — same team, same bar, end to end. Ship to production. Stay live. Owned by humans.
Next.js, React, Node.js, Python. Postgres, Supabase, Turso. Real applications with real users in production — e-commerce, SaaS dashboards, content platforms, internal tools. Built to production standards from day one, not retrofitted later.
Native Swift for iOS. React Native and Expo for cross-platform reach. Standalone mobile products and native apps grafted onto existing web platforms. App Store, Play Store, TestFlight, internal deployment — we handle the whole chain.
AWS, Cloudflare, Vercel, NixOS, PM2. CI/CD pipelines that run on commit. Observability that catches problems before users do. Zero-downtime deploys. Migrated databases without downtime. Orchestrated infra for multi-tenant platforms. Deployment is built in from the first commit.
Systems that scale to your actual users today, not your theoretical peak traffic someday. Multi-tenant by design. Event-driven where it matters. AI-native where language models augment user value — not just product hype. Architecture that serves the business, not the other way around.
Anthropic Claude, OpenAI, Google Gemini, Perplexity. RAG pipelines on private data. Autonomous agents that make decisions and take action. Evaluation frameworks that measure LLM output quality. Production language models in our stack since 2023. We know the seams where they fail and the patterns that work.
When no existing tool fits your workflow, we build the right thing from scratch. Internal dashboards that become competitive advantage. Integrations with APIs your competitors do not touch. Private APIs, custom data pipelines, tools built for one team only — and they are better for it.
Manifesto
Seven principles. Every commit, every decision, every conversation runs through them. This is not aspiration — it is how we actually work.
It speaks to the next engineer who reads it, not just to the machine. We write code for humans first. Clarity wins over cleverness.
Every client is different. Some want speed, some want polish, some need a stack we have never touched before. We do not impose a way of working — we shape ours to fit yours. The process serves the project, not the other way around.
We constrain AI to the steps where it is reliable and keep everything else deterministic. The model writes code for a structure already decided — it does not decide the structure. A human always reviews. A human always decides.
You should not see the machinery. You should see one team, one channel, one interface. The complexity stays on our side of the wall.
More code, more features, more load — should not mean lower quality. We scale the team, not the standard. Senior-engineer judgment on every commit, always.
A small team, a tight budget, legacy code, weird infrastructure — these are not obstacles. They shape the solution. The best systems are the constrained ones.
We do not hand off to you and vanish. We deploy it. We monitor it. We respond when it breaks. The product is not done when we leave — it is done when it stays live.
Onboarding
The first one to two weeks are a technical onboarding sprint we do not charge for. You sign, grant access, and we start shipping the same day. No scheduling. No six-week discovery phase. No slide decks. No fluff.
You sign the contract and grant repo access. We start immediately — no scheduling, no waiting. A senior engineer reads your codebase, surfaces the three questions that matter, and drafts a written brief the same day. Scope, technical approach, timeline, dependencies, risks, success metric. By end of day, you have the plan.
Within 24 hours, infrastructure is live. A private workspace isolated to your project. An agenda dashboard you can open at any time — current status, active branches, task queue. Repo access provisioned. CI/CD keys loaded. Our agent fleet briefed on your stack, your conventions, your voice.
By day three or four, the first working PR lands. Not scaffolding. Not a stub. A real, tested, production-grade feature — every commit signed off by a senior engineer. You can merge, deploy, or iterate on it immediately. Live preview environments spin up automatically. You are not waiting for batch releases. You are shipping.
A pattern settles in. You send a weekly direction sync — priorities, blockers, feedback. We send a daily async update: what shipped, what is in progress, what is blocked. You review PRs when it suits your calendar, not ours. One Slack channel, one email contact, one person who talks to you.
FAQ
Straight answers, no hedging. If your question is not here, email us — we answer the hard ones directly.
We would rather be honest upfront than waste your time. If any of these describe your situation, we are probably not the right team for you.
One email gets you a brief. That brief becomes code. That code goes live in days.
Reply within 24 hours. Sign the contract, grant repo access, and we start shipping. A written brief becomes your roadmap.