O(n) → O(log n)
Ship faster with
AI agents.
Not more engineers.
How It Works
From subscribe to shipped — in hours, not sprints.
Subscribe
Pick a plan. Start in minutes.
No procurement. No contracts. No 6-month hiring cycle. Choose your tier, connect your repos, and your AI-powered CTO is online.
Define Intent
Tell us what to build.
No user stories. No story points. No sprint planning. Just describe the outcome you want and the success criteria.
Agents Execute
AI builds in parallel at O(log n).
AI agents write code, generate tests, run security scans, and deploy — all simultaneously. What used to take a team of 10 engineers two sprints takes hours.
Ship
CTO validates. It's live.
A human CTO reviews architecture decisions, validates quality gates, and makes the judgment calls AI can't. Then it ships to production.
Insights
Agile Is Dead.
Welcome to
Agent-Driven
Development.
Whitepaper · March 2026
Agile Is Dead. Welcome to Agent-Driven Development.
Why two-week sprints can't keep up with AI agents — and the operating model replacing them. The case for intent over iteration, orchestration over management, and trust architecture over team structure.
From O(n²) to O(log n):
The Complexity Theory
of Software Teams
Whitepaper · March 2026
From O(n²) to O(log n): The Complexity Theory of Software Teams
Why Brooks's Law doesn't apply to AI agents — and how agentic development changes the complexity class of software delivery from O(n²) to O(log n).
Talk · 2022
Deploying Multiple Brands in Multiple Regions
Rocket Resume launched multiple brands across the globe in multiple regions and languages. As an early Vercel user, the entire infrastructure was built around Vercel and Next.js, scaling from a Pro account to Enterprise to take advantage of multi-region serverless functions.