AI SDLC
Enablement
- A structured 3–8 week engagement to build a robust software development lifecycle driven by AI agents
- Enable your engineering team to manage by exception — true adoption, not just a few power users
- From $8k depending on team size and scope
Cursor
AI-native code editor that turns your engineers into high-leverage operators. Agents handle implementation while your team focuses on decisions.
Cyrus
Autonomous AI coding agent that works alongside your team. Assign tasks, review output, ship code — manage by exception.
Linear
Purpose-built project management for engineering teams. Clean issue tracking, cycles, and roadmaps that integrate with your AI-driven workflow.
Shape Up
37signals' methodology for managing product scope. Six-week cycles, appetite-driven shaping, and clear boundaries that keep AI agents focused and shipping.
From individual tool users to a team-wide system
Most teams have a few people who use AI tools. We help you build a system where AI agents are part of your development process — not an optional add-on.
Before
- →A few engineers using Copilot or ChatGPT ad hoc
- →No shared workflow or standards for AI usage
- →Product scope managed through backlogs and standups
- →Engineers doing all implementation manually
After
- →AI agents integrated into your SDLC end-to-end
- →Engineers managing agents, reviewing output, shipping faster
- →Product scope shaped with clear appetites and boundaries
- →Consistent adoption across the team, not just power users
Assessment & Setup
Audit current workflow, configure toolchain (Cursor, Cyrus, Linear), establish conventions, and create initial rules and templates.
Guided Adoption
Work alongside your team on real work. Pair on agent workflows, refine shaping practices, build muscle memory for managing by exception.
Handoff & Independence
Document the system, train remaining team members, hand off ownership. Your team runs the SDLC independently going forward.
Ready to build with
AI agents?
Let's talk about your team, your workflow, and what an AI-driven SDLC could look like for you.