Lukas Hartrumpf · Applied AI Architect
Systems are rare.
I lead Engineering Intelligence at nerdware. The work is the distance between an agent that impresses in a demo and a system a company can actually run on.
01 · What I do
I don't type much code anymore, and I think that is the point. I run agents, and I build what sits around them: the context they work from, the guardrails they stay inside, the gates that decide whether their work ships. The craft moved up a level. Whether the result holds did not.
02 · How work moves now
01 Signal
02 Context
03 Agent
04 Gates
05 Decision
- sentry
TypeError: user is undefined
sentry · incoming+ checkout/README · ADR-007fix/checkout-null-user· tests· evals· policy✓ merged on its own - logs
OOMKilled worker-3, again
logs · incoming+ runbooks/memory.mdchore/worker-memory· tests· evals· policy↺ sent back: memory bump, no root cause - jira
PROJ-497: clean up old accounts
jira · incoming+ ADR-019 · data-retention.mdfeat/account-cleanup· tests· evals· policy→ comes to me: deletes production data
Signals arrive from everywhere: a Sentry error, a log alert, a Jira ticket someone wrote in a hurry.
One merged on its own. One went back with a reason. One needed me.
03 · What I hold to
- 01
Measure before you model.
A brief asked for 16,659 archived emails to be filed against housing units. Measuring first showed only 16 percent could be mapped at all. The requirement changed before a line was written.
- 02
Engineer the harness, not the feature.
The shift I ask of a developer: stop writing the feature, build what writes it reliably inside this one codebase.
- 03
One door, not ten.
Every LLM call in the company goes through one gateway. Budgets, models and guardrails live in one place instead of in every team.
- 04
Old skills, new leverage.
A decade of event-driven systems and enterprise integration is the reason the agent work reaches production.
04 · Numbers, not adjectives
Four things at once, most of them in production.
- 2,300
- Commits since November 2025 on one agent-built production system, and counting
- 8
- Engineers led at peak
- 4
- Client engagements running in parallel
- 300,000
- Daily users on a platform I have been building since 2023
Lab notes
Case studies drafted by a pipeline I built from my working notes. The patterns are real, the incidents are constructed. How it works
All notes