Dynamic Decisions Create New Engineering Responsibilities
How dynamic action selection introduces new responsibilities for execution control, security, observability, and architectural decisions in AI agent systems.
Recent thoughts and experiments.
Technical deep dives, practical implementations and lessons from real projects.
Building an Agent Without Frameworks
Build a deterministic execution loop in Python from scratch, exploring execution state, termination conditions, failure handling, and the foundations of AI agent control.
When Do AI Agents Make Sense?
Understanding when deterministic workflows are sufficient, how dynamic action selection helps systems adapt to new evidence, and when AI agents become useful.
An engineer exploring the intersection of software, AI and mathematics.
I'm a Senior Software Engineer with a strong interest in Artificial Intelligence, Computer Vision and the mathematics behind these technologies. Here I share technical insights, experiments and lessons from real projects.
Learn more about meKeep learning. Keep building.
Technical insights, practical experiments and engineering ideas. Every two weeks.
No spam. Just valuable content.
By subscribing, you agree to receive the Engineering Playbook and to our Privacy Policy.