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Articole: 38
  1. Why identical geospatial records can produce different query costs, how GeoParquet and spatial ordering help readers skip work, and how to verify that pruning actually happened.

  2. How bounding boxes, R-trees, and exact predicates work together, why H3 boundary behavior matters, and how to measure a spatial optimization without quietly changing its answer.

  3. Why limiting workers does not necessarily limit memory, how backpressure must reach admission, and how to account for queues, batches, retries, and ordering under a slow sink.

  4. How PMTiles moves map delivery into an indexed archive, what HTTP range requests actually buy you, and where caching, updates, and analytical queries still need engineering.

  5. Status Is a Distributed System

    Why deployment status is not a UI label, but a consistency problem across databases, queues, workers, locks, reconcilers, Kubernetes, and user trust.

  6. Why the hard part of AI agents is not the model or the prompt but the harness: context management, tool design, sandboxing, evals, and the engineering discipline forming around agents in production.

  7. Every retry loop, job queue, state column, and idempotency key is a piece of a durable execution engine.

  8. Why a PaaS control plane is really a reconciliation loop: desired state, observed state, transactional outbox events, and billing that cannot afford to lie.

  9. A deep engineering note on incident analysis, evidence gathering, and avoiding premature certainty during Kubernetes and Longhorn storage failures.

  10. Why I am building Guara Cloud as a product around developer outcomes, Brazilian billing, service operations, and reliability instead of exposing Kubernetes as another complicated control panel.

  11. Backups Are Not Snapshots

    A technical note on why platform backups need to be designed as user-facing recovery artifacts, not confused with storage-layer snapshots.

  12. A farewell to Deel

    A happy and warm goodbye to my time working as a Software Engineer at Deel

  13. Why I Decided to Go Baremetal

    Building my own Kubernetes cluster on bare metal.

  14. I built my own SQL IDE

    How a weekend experiment turned into SQLTemple, an AI powered SQL IDE built with Electron, React, and TypeScript to make working with databases actually pleasant.

  15. What I run on my homelab 2

    A tour of my current homelab: pfSense, Proxmox cluster, HA stacks, media services, observability, AI experiments, and how this all fits into my house network.

  16. Clean code feels good, but every layer of abstraction hides a tiny tax on performance and clarity.

  17. Quintile, a framework for structuring autonomous AI agents into phased, cooperative teams like assembly line for collective intelligence.

  18. If the code is the novelization of the business, much can be lost in translation.

  19. Discover how a custom-built SaaS starter template can accelerate your development process, helping you go from idea to MVP faster.

  20. An in-depth guide on securing your SaaS applications using vibe coding and AI-powered tools, ensuring rapid development without compromising security.

  21. TypeScript Goes Go

    TypeScript’s new Go-based compiler is here, promising fastest performance and a smoother experience.

  22. An approachable overview of software scalability, detailing key factors that affect it and strategies to effectively scale applications.

  23. An in-depth exploration of blockchain fundamentals, architecture, and a practical implementation using TypeScript/Node.js with code oriented content.

  24. Explore friendly and practical tips for writing clean, maintainable code that every developer can relate to.

  25. How I Built Threadrize

    The journey of building Threadrize, an AI-powered platform for X (Twitter) users that helps create, plan, analyze, and grow their X social media presence.

  26. A technical yet accessible guide to the concepts of concurrency and multithreading, exploring how they enhance performance in today's software applications.

  27. Learn how artificial intelligence is transforming software development by automating tasks, improving code quality, and supporting innovative solutions.

  28. Explore how artificial intelligence is shaping the future of software development with emerging trends and expert predictions.

  29. How adding unnecessary complexity can destroy your software projects in the long run, and why simplicity often wins the race.

  30. What I run on my homelab

    What I run on my personal homelab.

  31. Understand microservices beyond the buzzwords, exploring real pros, cons, and pitfalls.

  32. Reflecting on the journey of learning APIs, this article shares practical lessons on error handling, scalability, and choosing between REST and GraphQL, aimed at helping new developers navigate the API landscape.

  33. Learn about common pitfalls in API rate limiting and practical tips to avoid them.

  34. Boost your Node.js backend performance with these seven quick and effective optimization tips.

  35. An introduction to the V8 JavaScript engine used by Node.js, detailing how it compiles and optimizes code, and the key features that make it fast and efficient.

  36. Explore the DRY (Don't Repeat Yourself) principle in software engineering, its benefits, and actionable tips to write maintainable and scalable code by avoiding repetition.

  37. An introduction to my blog where I share insights about software engineering, architecture, cloud technologies and technology in general.

  38. Implement a simple Vector Space powered Search Engine using Python and mathematical concepts.