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Articole: 20
  1. AI coding agents can produce changes faster than teams can review them.

  2. Designing API Errors for Agents

    Agents treat API errors as instructions.

  3. With layoffs, automation, and a tough job market, is a career in software still worth recommending?

  4. A review of recent articles exploring what retrieval interface agents should use to search for context, and the common principles emerging from different approaches.

  5. Building Things Hurts Your Career

    There are many things that can hurt your career in tech, but one particular bad habit can derail it completely.

  6. Escaping Nulliverse

    What if we could create a social network with no humans involved at all?

  7. The old hiring playbook is history.

  8. AI agents will happily dive into your data lake and produce exactly the right report.

  9. Baking the context cake

    If you ask 10 executives which roles they need to run an AI adoption project, 9 of them won't mention data engineers.

  10. When you build an integration with an LLM provider and test it locally, everything usually looks fine.

  11. How I combined elements of Hierarchical Task Network planning with LLMs to create a more consistent and flexible planning system.

  12. Self-correction strategies where LLMs don't just generate content but actively review and refine their own outputs to fix errors autonomously.

  13. LLMs can reason about complex input.

  14. Forget your values

    When does a former startup start to feel corporate?

  15. The hiring manager interview is often a free-form conversation that candidates don't take seriously.

  16. Defining data governance from first principles and explaining its place in the larger area of data management.

  17. Next to technical expertise, the best engineers possess skills that amplify their impact.

  18. How to become a 10x engineer

    The concept of a 10x engineer sparked debates.

  19. Data Engineering Skills

    A comprehensive list of skills that will get you a data engineering position and help you succeed in this role.

  20. Why is there seemingly so much legacy everywhere you look?