for engineering teams · built on Claude Code
Make your engineering team AI-Native.
Re-architect how you build software around agentic AI, and own the engineering AI Operating System that makes it last.
Agentic AI across your whole SDLC · governed by design
sec. 01 · reality
Your developers are using AI. Your engineering org isn't transforming.
Shadow adoption, no system
Everyone uses AI their own way. No standards, no shared skills, no compounding gains.
Velocity without trust
Hallucinated dependencies, insecure defaults, secret-sprawl and license risk shipped at speed.
Stuck at autocomplete
The team treats AI as a faster keyboard. How software actually gets built hasn't changed.
The teams capturing real gains treat this as a transformation, not a tool rollout.
sec. 02 · shift
From AI-assisted to AI-Native.
Engineers become orchestrators, directing fleets of agents across the whole software lifecycle.
sec. 03 · maturity map
We move the whole team to Level 4.
Traditional
No AI in the workflow.
Assisted
Autocomplete in the editor, ad hoc.
Augmented
Agentic AI in the IDE, but unmanaged and inconsistent.
AI-Native your target
Agents across the SDLC, governed, measured and shared as a team standard.
Autonomous
Human-gated autonomy for well-defined tasks.
Governed and measured, in 12 weeks.
sec. 04 · what changes
The workflows we rebuild around agents.
Spec-Driven Delivery
Write the spec, let agents implement against it, reviewable, testable, repeatable.
Legacy Modernization
Agents read, test and refactor the code nobody wants to touch.
Testing & Quality
Generate and maintain test coverage as a first-class workflow.
AI Code Review
Flags P0/P1 issues before a human ever opens the PR.
Docs & Onboarding
Living documentation and faster ramp-up for every new engineer.
Incident & Maintenance
Agents assist triage, root-cause and safe remediation.
sec. 05 · program
Twelve weeks to Level 4.
Demos, diagnostic & baseline
Live demos, a maturity diagnostic and DX Core 4 baseline metrics before anything changes.
Secure setup & first standards
Secure Claude Code setup, pilot-squad training, your first CLAUDE.md and standards, and the spec-driven method.
Ship real features + a legacy target
Ship real features and modernize a legacy target; codify reusable skills, subagents and MCP connectors.
Harden, certify, measure
Harden the guardrails, certify your operators, stand up a Center of Excellence, measure the lift and run a 30-day check-in.
sec. 06 · what you get
An engineering AI Operating System that's yours.
Engineering AI Operating System
A CLAUDE.md hierarchy plus reusable skills, subagents and slash-commands.
Integrated AI Tooling
Claude Code in the IDE and CI/CD, with MCP connectors to your systems.
Spec-Driven Playbook
A documented, repeatable way to deliver features from specs.
Governance & Secure-Use Guardrails
Review gates, secrets handling and IP/license checks, SSDF-aligned.
Certified AI Operators + CoE
An internal Center of Excellence that keeps the practice evolving.
Honest Measurement Dashboard
A DX Core 4 baseline and the measured lift after.
sec. 07 · trust & security
Governance is what lets you ship fast.
AI-Code Review Gates
Every agent change reviewed before it reaches a human PR.
Secrets & Access Control
No secret-sprawl; least-privilege access for agents and tools.
IP & License Safety
Dependency and license checks so nothing risky ships.
Policy-First by Design
Allow/deny/ask policies, isolated environments and telemetry, NIST SSDF-aligned.
"The fastest way to lose your CISO is unreviewed AI code."
sec. 08 · ways to engage
Pick your depth.
AI Ignite for Devs
A focused week: demos, a maturity diagnostic and a baseline, see what's possible on your codebase.
See AI IgniteAI Accelerator for Devs
The full program, move the whole team to Level 4, governed and measured.
Talk to usAI-Native CoE
Evolve the asset library, scale to more squads and push toward safe autonomy.
Talk to ussec. 09 · questions
Frequently asked
The program is anchored on Anthropic's Claude Code in your IDE and CI/CD, extended with reusable skills, subagents and MCP connectors. We integrate with the stack you already run rather than replacing it.
Yes, that's the point. AI-code review gates, secrets and access controls, IP and license checks and isolated environments are set up first, aligned to the NIST Secure Software Development Framework.
Legacy modernization is a core workflow. We pick a real legacy target during the program and use agents to understand, test and refactor it.
We baseline on DX Core 4 before we start and measure the lift after, a realistic, compounding +5–15%. We reject the '10×' vendor claim and report the truth.
No. Engineers become orchestrators directing fleets of agents. The judgment, architecture and review stay human, the work just moves faster and safer.
next step
Make your engineering team AI-Native.
Tell us your stack and how your team ships today. We'll map your maturity, baseline your metrics, and scope the move to Level 4, governed and measured.
next step
Make your engineering team AI-Native.
Tell us your stack, your CI/CD and how you ship today. We'll baseline honestly and scope the 12 weeks to Level 4, governed by design.