Thinking in Agents
Your team learns the mental models that make agent workflows work — regardless of which tool comes next. Hands-on with current tools, but what stays is the system behind them.
5–20 TeilnehmerMärz April — Nächster freier Termin: Mai
Who it's for
Engineers who want to move beyond autocomplete into real agent workflows — at their own codebase.
Tech leads who need a framework for when to use agents, when to go manual, and when to stop.
CTOs and decision makers who need clarity on what agents can actually do today, where the ROI is, and where the risk lies.
Why teams book
Mental models that outlast tools. Agent loops, context management, delegation patterns — your team understands the system behind the results. That stays when tools change.
Hands-on at your own code. Everyone builds workflows on real project context, not slide exercises.
Production-ready from day one. Tests, linting, CI and clear guardrails — so it doesn't stay an experiment after Monday.
One day, five phases
-
01
The Shift — Vibe coding vs. agentic engineering
Spectrum: autocomplete to orchestrator. Taste over syntax. Live demo: same task, different approach. -
02
How Agents Work — LLMs, tool calls, agent loop
Context windows & failure modes. Agent loop: think, act, observe, repeat. Token economics & model tiers. -
03
Hands-on — First workflows at your own code
Harness setup & model selection. Project instructions via CLAUDE.md. Trust boundaries & intervention points. -
04
Guardrails — Tests, CI and back pressure
Tests as first-line defense. CI as organizational back pressure. The trust equation for agent autonomy. -
05
Scale — Orchestration, enterprise & adoption
Parallel agents & task splitting. MCP servers. Data policies & agentic readiness scoring.
Half-day: phases 1-3. Full-day: all 5 phases. Content customizable on request. Full curriculum →
What your team takes away
Working workflows. Everyone leaves with agent workflows that run on their own repo on Monday.
Project setup. CLAUDE.md, custom commands, and harness configuration — tailored to your stack.
Decision framework. When agent, when manual, when stop. No guesswork, no overcommitment.
Investment
In-house in DACH, including preparation and follow-up. Travel costs as incurred.