Every session starts from zero
No shared plan, no rules in the repo, no record of past decisions. Each engineer gets a different Claude, and it forgets by Tuesday.
Anyone can run a hundred agents. We make them one team.
Diffco’s delivery platform, built on Claude Code, gives every agent your plan, your standards, and your compliance rules before it writes a line, then checks everything it produces. A senior engineer signs off on what ships.
Senior engineers in San Jose, CA. Discovery in days, working software in weeks.
Products we developed are used by
Awards and client reviews
- Top AI Development Company
- Top 10 Software Developers
- Top AI Developers
in California
- Top Staff Augmentation Company
Diffco took on a complex financial system build for us — the kind of work that touches fund accounting and compliance, where there’s no margin for error — and they delivered. They helped us shape our AI product strategy rather than just executing tickets. Real ownership of the outcome.
Adam HooksCEO at Vero K12Their commitment to excellence ensures our platform remains robust and adaptable to our evolving needs. With their expertise, we've successfully enhanced our offerings, making our collaboration highly effective.
Pete GualfettiHead of Design and Integration at Good2GoWe were impressed by Diffco's approach to the development process and how they engineer new solutions. They look ahead, learn about your product and strategy, and develop sophisticated, highly functional solutions.
Stas TushinskiyCEO & Co-founder at InstreamaticDiffco supplied us with the skilled engineers we needed to meet our ambitious goals. Their account manager proactively addressed concerns, ensuring our expectations were met.
Razvan SpatariuSenior Software Engineering Manager at MultiverseDiffco handled discovery for two complex health tech AI products for us. They’re technically sharp, honest about what’s actually worth building, and easy to work with. They moved fast without cutting corners and understood the healthcare space. Highly recommend.
Mark MagazuPrincipal at M3 Veterinary Innovation AdvisorsDiffco's expertise and engineering approach increase the reliability and efficiency of our IoT infrastructure. Diffco has proven to be a reliable partner with exceptional expertise. I highly recommend their services.
David C ThompsonSenior Digital Initiatives director at ChemTreatThe quality and consistency of the team make Diffco stand out from other vendors.
Art DanielovCEO at FlashgridThey were communicative, consultative, and helpful. They went above and beyond all the way. What an amazing team. I will work with them again and again.
Don MarklandCEO at Accountability NowDiffco turned our concept into a polished product from scratch, delivering on a tight timeline. Clear communication, organized project management, and a strong mix of creativity and technical expertise produced an app that exceeded our vision.
Mason MeninCo-founder at WYA Group, Inc.
Why AI rollouts stall
Faster isn’t the same as better.
Claude Code makes engineers faster. But teams that roll it out by handing out licenses see a productivity spike, then a quality dip. Nothing tells the agents what the product is for, what must never change, or what was already decided.
Agents undo decisions
A requirement quietly rewritten, a constraint dropped, a “no” from March re-proposed in October, because nothing stopped the agent.
No one knows where things stand
Progress lives in a hundred chat windows. Finished, blocked, and broken look the same from the outside.
Big diffs, thin review
Generated changes get waved through because “the tests passed,” when no one wrote down what “working” means.
Secrets leak into prompts
Credentials pasted into chats, production data used as fixtures, and no rule about which models may see your code.
Gains stay with two people
A couple of engineers get far more done. Everyone else gets frustrated. Without deliberate enablement, it never spreads.
What “implementation” means here
Not installing a tool. Changing how your team ships.
Plan, rules, and automatic checks in your repo, proven on your real backlog, with your engineers in charge.
How we work with it
From “set us up” to “build it for us”
Set up your team
Two weeks inside your repo: we write down the plan, the rules, and the checks, connect your systems, and train your engineers to direct agents. Your people make the decisions; agents do the typing.
Best for:Engineering teams that want the speed without the quality dip
Build a new product
Our senior engineers decide what to build and how, and agents do the building, with every change checked and a person signing off before it ships. You’re clicking through a working product in weeks.
Best for:Founders and product teams who want speed and a foundation they can keep
Modernize existing software
We add the plan beside your current code without touching it. New work is checked from day one, and older parts come under the same rules as you touch them. No big-bang rewrite.
Best for:Mature products with no appetite for risk
Ship AI features on Claude
Customer-facing agents, copilots, and multi-agent workflows built on Claude and the Agent SDK. We define what “working” means before writing code, then prove it live before release.
Best for:Products where the AI feature’s accuracy is the product
Rescue an AI-built codebase
A prototype built fast in a hundred chat windows, now buckling under real users. We bring it under one plan, then stabilize, harden, or rebuild. → Vibe Code Rescue
Best for:Funded founders with a working demo and a scaling problem
The platform behind the team
Engineers decide. Agents build. The plan keeps them on track.
Our delivery platform, built on Claude Code and OpenAI Codex, puts your plan, rules, decisions, and compliance requirements in front of every agent before it starts, then checks everything it produces. No agent can change a goal, a requirement, or a rule on its own.
It also learns your project as it goes. Ask for the same thing twice, and it becomes a rule every agent follows.
How a change moves through it
- You ask for what you want
- We show what it touches and what we’d build
- You approve
- Agents build, checked against the plan at every step
- A person signs off. Later changes go through the same loop.
- 100+agents per engineer, directed by senior engineers
- Every changechecked against the plan
- One pageshows what’s done, what’s waiting on you, and what needs a second look
- Model-agnosticbetter models drop in without changing how your project runs
What you get
A team that ships faster. And can prove it stayed in control.
A plan every agent reads
Goals, rules, and decisions live in your repo as plain files you own, so every session starts from your product, not from zero.
A check on every change
A change that breaks the plan doesn’t go through. Problems surface when they’re cheapest to fix, not in review a week later.
Proof of “done”
For each key user task, we write down what “working” means first, then demonstrate it live on the real product before a person signs off.
Audit-ready records
Every requirement traced to its code and tests, with a dated log of who approved each change. Built as you go, not as a documentation project at the end.
Why teams choose Diffco for Claude Code
We run it on our own client work, every day.
It’s our platform, not a package
The setup we install is the one our engineers use to ship client systems. Refined on real projects, not assembled for a brochure.
Senior engineers in the room
The people who set up your team direct agents on production code every day. Architects, not trainers.
We’ve done this before
RedTrack brought us in to make its engineering organization AI-native. We found the bottleneck was context, not code generation, and installed the practice around it: specification-driven development, documentation on hard CI/CD gates, isolated agent workspaces. That engagement is the template.
We’ll tell you if it’s the wrong fit
Some codebases, compliance regimes, and teams aren’t ready. We say so before you spend.
Right-sized for the job
Need a two-week experiment, not a full rollout? We’ll run something lighter that ships fast.
Model-agnostic by design
We also run OpenAI Codex. The plan and checks don’t depend on one model, so we choose by your constraints (model access, data residency, existing licenses), not by fashion.
AI-native development setup
AI-native engineering for an ad-tracking platform
RedTrack — performance-marketing analytics for media buyers, e-commerce brands, affiliates and agencies — already had Claude Code running in CI, and a productivity curve that had flattened anyway. Diffco ran a month of Discovery, found the bottleneck was context rather than code generation, and installed the operational and methodological foundations around it.
- 5,000+active media buyers on the platform
- 1B+conversions tracked in 2026
Two ways to start
Set up your team, or hand us the build.
Claude Code setup sprint
Two weeks with your engineers. Days one to three: your plan drafted from everything you already have — codebase, docs, past decisions — and agreed with you. Then the rules and the check go into your repo, agents are pointed at real backlog items, and your engineers direct them with us alongside. Ends with a re-measured baseline and a written operating model you own.
Fixed price, agreed up front- Your team, your repo, your backlog
- No new tools for your people to learn — they make decisions and read reports
Build with Diffco
Discovery in a few days to two weeks; a clickable walkthrough within the first weeks; working software soon after. Senior engineers decide, agents build inside the plan, a person signs off live. Monthly team allocation or a fixed scope after discovery.
- Estimate given as a range with its open questions
- The plan is yours in full from week one
- Handover with runbooks and a project you can read
What we bring
The stack around Claude Code —
the part that makes a hundred agents safe
Claude
Claude models
Claude Code
Claude Agent SDK
Model Context Protocol (MCP)
Our platform
The plan
Rules and constraints agents read before starting
Automatic checks on every change
The decision log
Acceptance standards and live sign-off
Delivery
GitHub
GitLab
GitHub Actions
Linear
Playwright
Sentry
Also in our toolbox
OpenAI Codex
Cursor
Success stories of our clients
Ongoing engineering support for an AI receipt platform
We built the AI Moderator that runs Maze’s user research interviews
Marketplace with a resumable Stripe deposit flow
We built an internal mobile app and web portal that aggregate data from multiple providers to track team productivity
Full development + AI agentic product discovery for Happier, a top-rated meditation app
Ongoing engineering support for an AI receipt platform
We built the AI Moderator that runs Maze’s user research interviews
Explore our
amazing case studies
Let’s build something
great together.
Frequently Asked Questions
Our own AI delivery platform, running on top of leading coding agents — Claude Code and OpenAI Codex. The plan and the checks don’t depend on any one model, so we adopt better models as they arrive without changing how your project is run.
For a setup sprint your engineers need Claude access; we help you choose the plan and the permission model. For builds Diffco delivers, our team uses its own tooling.
No. Your team makes decisions and reads reports. The agents do the day-to-day writing, and the plan is plain files that live with your code.
Your requirements become rules every agent reads before it starts, enforced by automatic checks on every change — including which models may see your code and what data the agents can touch. Secrets are kept out of prompts and production data out of test fixtures by rule, and every change that matters carries a named person and a date. Data-handling terms are agreed in writing before work starts.
Three ways. A check runs every time work is saved, and a change that breaks the plan doesn’t go through. Senior engineers own architecture and every decision that’s expensive to reverse. And before release, a person watches each key user task work on the real product and signs off against a standard agreed before the code existed.
No — it’s how we go faster without losing control. Issues surface the moment work is saved, when they’re cheapest to fix, and the agents don’t stop when the office closes. What disappears is the rework from a requirement that changed in March and was noticed in October.
No. We add the plan beside your existing code without touching it, and the checks apply to new work from day one. Older areas come under the plan as you touch them, at the pace you choose.
You do, in full, from the first week — plain files beside your code, yours to keep and take anywhere, including to another team or another tool.
Usually the one your constraints allow: model access, data residency, existing enterprise agreements, and what your team already knows. We run all three inside the same plan and will recommend against our own preference when your situation calls for it.
The setup sprint is a fixed price, agreed up front. Builds run on a monthly team allocation or a fixed scope after discovery, with the estimate given as a range and the open questions that make it wide.
Need other services?
Vibe Code RescueYour Lovable, Bolt, Replit or Cursor prototype worked. Our senior engineers stabilize, harden or rebuild it for production.
Forward Deployed EngineerA senior Diffco AI engineer embedded in your team, backed by an architect, who takes your AI use case from pilot to production.
React DevelopmentSenior React engineers build fast, accessible front ends: new products, takeovers and React 19 upgrades.
AI Agents DevelopmentCustom agents and multi-agent systems that do real work inside your CRM, EHR, ERP, and internal tools.
Team AugmentationSenior engineers who join your team, fit your workflow and culture, and start shipping from week one.
