Two people whose contributions have had a profound impact. Donald Knuth’s concept of literate programming is deeply embedded in Leapter. Our Blueprints keep intent, rationale, and executable logic together, making applications easier to understand, review, and evolve.
Low-code promised ownership. It delivered another developer queue. Vibe coding promised speed. It delivers black boxes that fail in production. Enterprise AI needs a third category: logic that's AI-drafted, human-readable, and deterministic by design.
https://t.co/hKwpxnsCIy
Phil Le-Brun is on Leapter’s advisory board.
He leads AWS’s Executive in Residence program and previously served as McDonald’s International CIO and VP, Global Technology Development.
More: https://t.co/UD2eCXJ2SY
"Trust me bro" is not an AI governance strategy.
@JackRob357741 demos the alternative in @antigravity: describe logic in plain language, simulate it visually, ship it as an MCP tool your AI coding agent calls directly. No black box.
Jensen Huang: "AI no longer hallucinates."
If that were true we would not need humans reviewing AI output at all. We do. The headline writes itself.
https://t.co/M3OnFZO2tH
AI agents fail at enterprise logic not because they lack intelligence, but because they are asked to guarantee outcomes they were not designed to guarantee.
We built Leapter to turn business intent into deterministic, verifiable blueprints instead.
Most teams don’t fail on code. They fail on translation.
Intent gets paraphrased 5 times, then validated at the end when it’s expensive.
Make intent visible earlier. Less rework. Better outcomes.
WEF says trust is a top obstacle to AI adoption. The fix isn't better models. It's separating what should be deterministic from what should not.
Let the LLM reason. Make the business rules inspectable.
https://t.co/HhbPNZMCfn
Your AI agent should reason. It should not guess your pricing rules.
Build deterministic tools for the decisions that need to be right every time. Let the agent orchestrate. Let the tool decide.
https://t.co/wHa4u3CMXK
“Democratising development” is the goal.
The hard part is making it trustworthy.
Leapter makes decision logic visible and reviewable, so domain experts can shape it early, and engineers can verify it before it ships.
https://t.co/m9XXMdMJ0t
Dr. Frank Stummer is a member of our advisory board and has been helping Leapter build with more rigor, not more noise.
His PhD focused on startup success criteria, and he’s supported our team with sharp input on business planning, positioning, and pitching.
Agentic AI isn’t a magic wand.
Autonomy is powerful and risky.
The next bottleneck is governance: visible decisions, reproducible behavior, traceable logic.
https://t.co/QN40lim3Qn
72 hours of vibe coding later: stable. ✅
We found the issue (logic gaps), treated it (debugging + blueprints), and the agents behave again.
Thanks STUDIOPARK KinderMedienZentrum Erfurt, Michaela Linow, and Tina Thielmann!
🥼 Lab coat in the demo = homage.