The journey of AI software development
From first pilot to autonomous fleets, without losing the codebase
We help engineering organizations transform safely across three phases, holding Code Health to the 9.5 rule at every step of the journey.
9.5The 9.5 ruleThe bar every merge clears, end to end.
Phase 1
Pre-AI
No AI in production dev work or AI only in walled-off test teams.
The 9.5 rule
Code Health 8.1/ 9.5
Set your Code Health baseline and gate every merge before AI lands.
Govern & steer Assess AI readiness, set guardrails
Purpose
- Define your productivity baseline
- Prioritize technical-debt remediation
- Gate your code at the 9.5 bar
Developer tools
Leadership tools
Risk
Risk without us Code health decline and being unable to adopt AI safely.
Customer proof
-32%critical hotspots
"We mapped our baseline and cleared a third of our worst hotspots before rolling out AI."
Nordic fintech, 220 engineers
Phase 2
AI-Assisted
AI coding assistants in daily use, from team rollout to org-wide governance.
The 9.5 rule
Code Health 9.2/ 9.5
Hold every AI-assisted PR to the 9.5 rule, no drift, no exceptions.
Govern & steer Org-wide policies, gates & PR standards
Purpose
- Safeguard AI-generated code
- AI-assisted uplift of your code
- Measure productivity performance
Developer tools
Leadership tools
Risk
Risk without us Up to 60% higher defect risk. Productivity gains hard to prove.
Customer proof
-38%time in code review
"Every AI-assisted PR now clears the 9.5 bar and review time fell by more than a third."
Global SaaS platform, 600 engineers
Phase 3
Agentic & Autonomous
AI agents take action across supervised, scoped tasks through autonomous fleets.
The 9.5 rule
Code Health 9.6/ 9.5
Bind autonomous agents to the 9.5 rule before any merge reaches main.
Govern & steer Steer agent fleets, trust calibration
Purpose
- Safeguard & guide agents
- Deploy and scale agentic workflows
- Optimize AI performance & token spend
Developer tools
Leadership tools
Risk
Risk without us Degrading agent performance. Token spend climbs 25% to 50%.
Customer proof
-41%token spend
"We scaled supervised agent fleets and cut token spend while throughput kept climbing."
Enterprise infra team, 1,200 engineers