Does Security Cross Your Mind When You Ship Code?
Four common security mistakes in development, from validation that only lives in the frontend to blind trust in JWT claims, and the excess of trust that connects all of them.
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Architecture, engineering, and leadership decisions analyzed from real production systems.
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Storing files on Azure seems simple, until you see what the obvious solution leaves exposed
Progressive architecture for secure storage on Azure with Java. Covers Managed Identity, User Delegation SAS, Private Endpoint, WORM, and LGPD-compliant retention. Documented incidents provide context for each decision.
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Intelligent search with AI: applying semantics with low cost and simplicity
How I added AI-powered semantic search to a long-form blog using SQLite, BM25, fuzzy correction and embeddings, without a vector database or paid API calls per query.
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When measuring effort becomes a sophisticated way to waste work
Organizations that treat software development like manufacturing measure hours, create tickets for everything, and call it management. This article explores how the granular control mindset diverts energy away from work that actually matters.
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Identifiers in Distributed Systems: Strategies, Trade-offs and How to Choose
UUID, ULID, Snowflake and sequential integers: ID generation strategies in distributed systems, architectural trade-offs and how to choose the right identifier for each scenario.
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SeriesPerformance Engineering
Cloud Performance Starts with CPU and I/O
A technical and narrative analysis of what IO is, when it starts and ends, why the cloud turns almost everything into IO, and how that understanding shapes decisions about architecture, infrastructure, and software design.
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SeriesCache in Production
Cache: The Cost Nobody Puts on the Roadmap
Adding cache seems simple, but it carries financial, operational, and cognitive costs that rarely surface in the initial discussion. Invalidation, stampede, memory pressure, and what Meta spent years learning.
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MCP, A2A, and ANP: the protocols defining how AI agents interact with the world
The new generation of AI agent systems requires a protocol stack for tool integration, agent coordination, and distributed discovery. This article breaks down MCP, A2A, and ANP: what problem each was designed to solve, how they work, where they complement each other, and what technical challenges remain unanswered.
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SeriesCache in Production
Cache in distributed architectures: patterns, trade-offs, and the CAP theorem
Understand how cache integrates with distributed systems. Cache-aside, read-through, write-through, and write-behind: each pattern solves a different problem and carries consequences for consistency, availability, and operational complexity.
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Intention Before Code: Spec-Driven Development, Tests, and AI in an Engineering Pipeline
From TDD to Spec-Driven Development: how documented intent and verified tests define the boundaries of what AI agents can generate in production.
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SeriesCache in Production
Cache: Why Keeping Data Close to Where It's Needed Is a Universal Principle
From transistors to edge servers, cache exists because accessing distant data is slow and expensive. Understand the locality principle, the memory hierarchy, and why this concept spans all of modern computing.
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SeriesBest Practices with GRASP
Low Coupling and High Cohesion: The Dance of Dependencies
How to control dependencies and organize responsibilities cohesively. Second chapter of the Best Practices with GRASP series, exploring the principles that determine how components connect without becoming entangled.
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SeriesCache in Production
Progressive Saturation: How a Bottleneck Brings Everything Down
First chapter of Cache in Production. Through an incident scenario, understand progressive saturation, access distributions, and what cache solves and what it merely covers.
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Cognitive Debt: the Invisible Liability of the Generative AI Era
What happens when the speed of generation outpaces the capacity for understanding. An analysis of the concept of cognitive debt, its historical roots, and the structural impact on software development and organizations.
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Acyclic Dependencies Principle: from monolith to microservice, from graph theory to the cost of change
The Acyclic Dependencies Principle (ADP) requires that the dependency graph between packages or components have no cycles. From graph theory to Clean Architecture, DDD and microservices: why cycles increase accidental complexity and how to eliminate them.
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Optional in Java: monad and computational absence
What monads are, how Optional implements the Maybe pattern, when to use Optional versus null, and why computational absence differs from domain state.
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Data-Oriented Programming in Java: when data drives design
Records, sealed classes, and pattern matching form the Data-Oriented Programming paradigm. Where to apply it, where the record meets its limits, and how to choose between transparent data and encapsulation.
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Java multiparadigm: records, sealed classes, and pattern matching
From Java 8 to 21, the language incorporated lambdas, records, sealed classes, and pattern matching. How each feature expanded the repertoire and prepared the ground for a new paradigm.
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Value in Agility: Why Delivering the Complete System Is Not Synonymous with Delivering Value
Types of value, value stream and incremental delivery: how to identify and deliver impact before the complete system, grounded in the Agile Manifesto and lean thinking.
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Microservices: the fragmentation of distribution
Microservices are not a natural evolution of design. Understand common mistakes in excessive fragmentation and when this architecture truly makes sense.
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Between Indicators and Reality: metrics don't change results, only behaviors
Metrics don't lie, but they can tell lies. Discover how indicators shape behaviors and when appearances hide reality.
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SeriesBest Practices with GRASP
When Code Reflects the Domain: The Journey of GRASP and DDD Making a Difference in Practice
GRASP and DDD in practice: learn to distribute responsibilities correctly and transform your code into a clear reflection of the domain.
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Domain: when software engineering semantics becomes architectural noise
Among the most recurring and, paradoxically, most confusing words in software engineering, domain holds a central place. Semantic clarity is an architectural competency.
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MVC and Hexagonal Architecture: Foundations for Software Architects
Understand the difference between architectural patterns and styles. MVC organizes presentation, Hexagonal isolates the domain: learn when to apply each one.
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Why You and Your Team Never Reach High Performance!
High performance isn't about having more senior engineers. It's about autonomy, trust, and leadership. Discover the traps holding your team back.
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SeriesMinimalist Code
Minimalist Code: Concision in Naming, Precision in Code
Variable names impact code readability. Discover when to use prefixes like 'is' and how to avoid negations that create confusion.
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SeriesMinimalist Code
Minimalist Code: Declaring Variables the Right Way
Best practices for declaring variables: conventions, scope, readability, and principles like KISS and YAGNI for clean, sustainable code.
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SeriesMinimalist Code
Minimalist Code: How Variable Names Affect Readability and Performance
How naming variables can affect code design, readability, and maintainability, and impact both individual and team performance.
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Encapsulation in OOP: Learn How to Apply It the Right Way
Encapsulation isn't just about hiding attributes! It brings code to life, reflects the real world, and prevents headaches. Let's understand this properly!
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