AI Development Infrastructure
You bring the velocity. We bring the stability. Coalesce helps teams shipping with AI tools like Cursor, Copilot, and Claude Code build the engineering infrastructure that keeps fast code from becoming fragile code.
Since 2006
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$125M+ client revenue supported
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4+ year avg. client relationship
AI-assisted development is transforming how fast teams can ship. But speed without structure creates a new kind of technical debt: code that works today and breaks tomorrow. We build the guardrails, testing pipelines, and architectural contracts that let your team move fast without accumulating risk. The result: you keep your AI velocity and gain the confidence to deploy it.
When AI writes the code, who writes the rules?
Your team is shipping faster than ever with AI tools. That's the good news. The bad news: without engineering infrastructure underneath, every AI-generated feature is a bet that nothing breaks in production. We've spent 20 years building on top of existing systems. We know what happens when speed outpaces structure.
Your codebase is growing faster than your team can review it.
AI tools generate code at a pace no human team can fully review. Patterns drift. Dependencies multiply. The architecture you started with is being quietly overwritten by whatever the model suggests. You need guardrails that enforce your rules before code hits the repo, not after.
It works in demo. It breaks in production.
AI-generated code optimizes for the prompt, not your system. It doesn't know about your edge cases, your data model quirks, or the integration that fails at scale. You need a testing and deployment pipeline that catches what AI misses.
You're building fast but can't explain what you've built.
Investors, partners, and future hires will ask about your architecture. If the honest answer is "AI wrote most of it and we shipped it," that's a due diligence problem. You need specs, documentation, and architectural decisions that exist outside the code itself.
Services
Architectural Contracts
We define the rules before AI writes code: data flow patterns, layer separation, API contracts, and naming conventions. Your AI tools generate code that fits your system instead of fighting it.
Component Libraries
We build validated, tested component libraries that AI tools assemble from. Think of it as giving AI a box of Lego pieces that are guaranteed to fit together, instead of letting it invent new shapes every time.
Testing & Deployment Pipelines
Automated test suites, CI/CD pipelines, and deployment gates purpose-built for AI-assisted workflows. Every commit gets validated against your architectural contracts before it reaches production.
Spec-Driven Development
We treat the specification as the most valuable artifact, not the code. Specs become the source of truth that AI tools, human developers, and QA all work from. Code is generated. Specs are engineered.
Technical Debt Triage
AI-generated code creates a specific kind of debt: it works but nobody understands why. We audit what's been built, identify structural risks, and create a practical plan to stabilize without slowing you down.
Ongoing Engineering Retainer
After the foundation is set, we stay on as your engineering infrastructure layer. Architecture reviews, pipeline maintenance, code quality monitoring, and the senior technical judgment your AI tools can't provide.
Process
1. Discovery
We start by understanding your business: goals, constraints, existing systems (if any), and what success looks like. No 200-page audits.
2. Strategy
A prioritized roadmap based on your constraints. What's urgent vs. important. What we can ship in weeks vs. what needs architectural work. Clear trade-offs, not hand-wavy estimates.
3. Build
AI-augmented development with human review at every decision point. Whether we're starting fresh or working in your existing stack, you get senior engineers. No handoffs.
4. Launch
QA, deployment, and monitoring. We don't ship and disappear.
5. Iterate
Ongoing partnership, not a handoff. We stick around to make it better.
Recent Case Studies
Coalesce brought a rigorous development approach, meticulous attention to detail, and creative suggestions to the process. The team was clearly invested in the project's success and has become a trusted, valuable collaborator.
Morgan Brown
Inman News
FAQ
We're a small team using Cursor and Copilot. Is this for us?
That's exactly who this is for. Small teams shipping fast with AI tools are the most likely to accumulate structural debt without realizing it. We help you build the infrastructure that keeps your velocity sustainable as you grow.
How is this different from a fractional CTO?
A fractional CTO provides broad technical leadership: hiring, strategy, vendor decisions. AI development infrastructure is more specific. We build the actual systems, pipelines, and guardrails that govern how AI-generated code enters your codebase. Some clients use both.
What does the engagement look like?
Phase 1 is a 2-4 week foundation: we audit your codebase, define architectural contracts, build your testing pipeline, and establish component libraries. Phase 2 is an ongoing monthly retainer where we maintain the infrastructure and evolve it as your product grows.
Do you replace our AI tools?
No. We make them better. Your team keeps using Cursor, Copilot, Claude Code, v0, Bolt, or whatever ships fastest. We build the infrastructure underneath that ensures what they generate meets your standards.
Where is your team located?
We're headquartered in New York City, with senior engineers across the Americas and Europe. Our distributed team means faster turnaround without sacrificing quality or communication.
What if we already have a lot of AI-generated code in production?
Most clients do. We start with a triage of what's already been built, identify the highest-risk areas, and stabilize those first. Then we build the infrastructure going forward so the problem stops growing.
Ready to make your AI velocity sustainable?
We support $125M+ of client revenue annually with a lean team of senior engineers. Let's talk about what you're building and how to keep it stable.