Agentic AI · Delivery Leadership · Governance

Leading Teams That Bring Agentic AI into Production

25 years in software, the last years leading delivery teams of up to 35 people. My teams build agentic software for large enterprises. I care about what happens after the demo: delivery that is deterministic, auditable, and ready for real users.

Open source: aSPARK – a methodology and toolchain that brings determinism and auditability to software delivery in mixed teams of people and agents. MIT.

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The focus is actionable knowledge over hype: concise guides, deep dives, honest retrospectives, and templates you can apply directly in real projects.

Open source

aSPARK: determinism for teams of people and agents

Agents make teams faster. They also make it harder to say who decided what, which rule applied, and whether the result can be reproduced. aSPARK is my open answer to that.

  • Gates: every feature passes five phases, and only a person opens the next one
  • Traceability: stories, code, tests, and releases linked in a local knowledge graph
  • Policy as code: engineering standards that are checked, not just written down

Explore aSPARK View on GitHub

100-second demo: one feature through the full aSPARK loop.
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