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Engineering Playbook.

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A technical newsletter exploring Software Engineering, AI/ML, Computer Vision and Mathematics through concepts, code and practical experiments.

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Latest Articles

Recent thoughts and experiments.

Technical deep dives, practical implementations and lessons from real projects.

  • An editorial illustration representing the construction of an agent execution loop in Python, with sequential investigation steps and explicit execution control.
    Agentic Systems

    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.

  • An editorial illustration contrasting a deterministic workflow with an adaptive AI agent that selects actions based on new observations.
    Agentic Systems

    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.

  • A technical illustration showing a language model connected to an execution runtime and external tools, representing the transition from generating responses to selecting and executing actions.
    Agentic Systems

    Why AI Agents Exist?

    Understanding the limitations of language models, the role of deterministic workflows, and when dynamic action selection becomes useful.

About

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 me

Engineering Playbook

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