Designing deterministic release-risk systems

The problem

AI agents can produce changes faster than teams can confidently evaluate and govern them.

Constraints

• Signals must be inspectable rather than opaque
• Experiments must not be presented as production adoption

How I approached it

Explore deterministic release-risk scoring, deployment impact reports and evidence-backed release decisions.

My contribution

Founder of DeployTitan; currently shaping the product and engineering direction.

Outcomes

• Exploration is in progress; no production adoption or commercial outcome is claimed.

What I learned

• The next bottleneck is evaluating, verifying and safely operating what agents produce.

Technology

Next.js · TypeScript · GCP · GitHub integrations · MCP · Sanity CMS