Platformatory | Forward Deployed Engineering Firm: Data, AI & Modernization

Platform Engineering is dead. Long live Platform Engineering!

  1. Every company is a data company

    In the AI economy, data intelligence is the primary alpha. Execution comes a close second.

  2. Build over buy

    Differentiation takes a certain level of bespoke. You can't buy that in a fair market.

  3. Don't invent infrastructure

    You cannot vibe-code a database—yet. Build on best-in-breed OSS that has stood the test of time.

  4. The compute continuum

    Compute is a continuum. Not every service needs to be a server.

  5. Platformify the product

    A platform-less product will always be replaced by an equivalent platform-ized product.

  6. Consultants must have skin in the game

    Consultants earn contempt not for telling you what you already know, but for having no skin in your game.

  7. Progress is not always incremental

    Many great advances arrive as leaps, not single-digit gains. Sometimes you can just run.

  8. One-pizza teams

    Small is purposeful and efficient. Large teams create overhead with diminishing returns.

  9. Built with AI, not built by AI

    You still can't build serious software autonomously. Taste of the discerning artist goes a long way.

  10. Roll your own

    When the problem is large enough, inventing infrastructure is worth it.

  11. Agentify everything

    UIs are fading into irrelevance. The AI harness is the touch point of multimodal interaction with your service.

  12. Run anywhere, everywhere

    The future is hybrid. Hyperscaler portability lets you command the best price.

  13. Practice over preaching

    Trust those who can do over those who talk.

  14. Protocol over platform

    The right protocol gives you platform fungibility for five years—maybe fifty.

  15. Co-create

    Creating alpha requires expertise, not headcount. Build with the best in the business.

  16. Build and operate

    The best teams build what they operate and operate what they build.

  17. Pay for what you use, strictly

    Price on value created—not seats, capacity, or headcount. AI is utility-like fuel for industrialized value creation.

  18. Real-time data (and everything else)

    Real-time context is the line between intelligent systems and non-intelligent ones.

  19. Performance matters

    Features become commodity. Real differentiation is price—and therefore performance.

  20. Infrastructure companies and everyone else

    AI is eating the middle layer. Paying for CRUD and commodity analytics is no longer sensible.

  21. Compute is the real moat

    Unit economics of software reduce to a premium on compute—and the efficiencies thereof.

  22. Code is cheap, show me the numbers

    Application-layer coding costs ~0. Everyone has the same models. Impact must be measurable—code is not the benchmark.

  23. Taste matters

    Everyone has the same frontier models. Human intelligence is the department of taste.

  24. AI is still a stochastic parrot

    You can't fire your agent from the job. Accountability and guardrails lie with humans.