For Startups
Our team leads have built, scaled, and sold startups. We know the difference between code that ships fast and code that ships fast and stays clean. We write the second kind.
How Fast
Team Leads
Ali Ahmed
Founder & Team Lead
Co-founder of Brev.dev (acquired by NVIDIA). Product Manager at GitHub Copilot. Harvard Business School, Y Combinator W20.
Andrew Denta
Team Lead
Co-founder of Terusama (acquired by Velostics). Software Engineer at Uber, Handshake. Y Combinator alumnus.
Robert Wendt
Team Lead
First engineer at Brev.dev (acq. NVIDIA). Founder of Flakery. Senior Engineer at Cua (Computer-Use Agents). Previously E2B, DevZero.
How We Work
No discovery phases that take months. No 50-page requirement docs. We scope tight, start building fast, and iterate with you in real time. Most projects ship their first deliverable within two weeks.
We write PRs into your repo, not a separate codebase. Your team reviews everything. When we leave, you have clean, extensible code that your engineers can pick up and run with — not a black box you're afraid to touch.
Scoping & Kickoff
1 — 3 daysQuick technical audit of your codebase and stack
Define deliverables and success criteria together
Set up dev environment and get access
First PR or prototype within the first week
Build & Ship
1 — 8 weeksDaily or weekly syncs — whatever cadence you prefer
PRs into your repo, reviewed by your team
Iterative shipping — working features, not slide decks
Handoff docs and code walkthrough with your engineers
Typical agencies deliver
“A demo after 8 weeks and an invoice for the next phase.”
We deliver
“Production code in your repo by the end of week one.”
How We Build
We've been the founder who inherited bad code from an agency. We've been the engineer who had to rewrite a “prototype” from scratch. We know what it costs when someone cuts corners to hit a deadline.
That's why we write code the way we'd want to inherit it. No premature abstractions. No opinionated frameworks that lock you in. No architecture astronautics. Just solid, readable code that works with whatever you're already using and lets your team keep moving after we leave.
Our Code Principles
Framework-agnostic
We match your stack, not the other way around. No opinions about which ORM, state manager, or deployment tool you should use.
Built to change
Clean interfaces, clear boundaries, well-named abstractions. Your team should be able to modify anything we build without asking us.
No vendor lock-in
We don't create dependencies on ourselves. Everything we build, your team can maintain, extend, and deploy independently.
Tested and documented
Tests where they matter. Docs where they help. Architecture decision records for the choices that aren't obvious.
What We Build
Everything we build goes into production. We don't build throwaway prototypes or proof-of-concepts that need to be rebuilt. You get working code, deployed, that your team can maintain and extend.
Well-defined feature builds with clear scope and timeline. Any feature your product needs — AI or not. We agree on what ships, build it fast, and hand it off clean. No scope creep, no open-ended engagements.
Intelligent search, generative capabilities, classification, recommendations — whatever AI feature your product needs. PRs into your repo, reviewed by your team.
Model optimization that cuts your API costs and improves quality for your use case. RAG pipelines with eval frameworks so you can measure quality, not just hope.
Embeddings pipelines, vector databases, model serving, evaluation suites. Production AI infrastructure built to scale with your growth, not burn your runway.
Previous Work
From Y Combinator-backed companies to Series C fintechs, we help well-funded startups build and ship AI features fast.
Full-stack student wellness platform with AI-powered chat, daily mood check-ins, wellness assessments, and multi-tier safety escalation—connecting students to coaches, counselors, and therapists through automated risk detection workflows.
Impact: Full platform shipped in 5 weeks
February 2026
AI-powered code review pipeline that catches security vulnerabilities, suggests optimizations, and enforces coding standards before human review.
Impact: 85% faster PR reviews
August 2025
A streamlined method for fine-tuning large language models on domain-specific data with minimal computational resources.
Impact: 10x cost reduction
February 2025
A lightweight tool that uses LLMs to classify support tickets, draft first-pass responses, and escalate edge cases—reducing average resolution time and improving consistency.
Impact: 45% faster resolution
December 2024
Let's talk about what you're building. Our team leads have been through YC, built products at NVIDIA and GitHub, and understand what it takes to ship on startup timelines.