Blog — Page 6 of 53
Browsing page 6 of 53 — 634 articles and counting.
How PostgreSQL Works: Storage Engine, MVCC, and the Query Planner Behind Every Production Database
A deep internals article covering how PostgreSQL stores data on disk, how MVCC enables concurrent transactions without locks, how the WAL enables crash recovery, how VACUUM reclaims dead tuples, and how the query planner picks execution strategies. With SQL examples and production tuning guidance.
How Transformer Models Work: Self-Attention, Positional Encoding, and the Architecture Behind Modern LLMs
A technical deep dive into the Transformer architecture: tokenization, positional encoding, self-attention with Q/K/V matrices, multi-head attention, the encoder-decoder split, training dynamics, and what it all means for engineers building on top of LLMs.
How SQLite Works Internally: The B-Tree Storage Engine, WAL, and Why It Powers More Devices Than Any Other Database
A deep dive into SQLite internals covering the single-file architecture, the pager and VFS stack, table and index B-trees, WAL vs rollback journal concurrency, the VDBE bytecode virtual machine, and practical production patterns for edge deployments and Litestream replication.
How Next.js Works Internally: The Compilation Pipeline, RSC Protocol, and Caching Architecture From Request to Render
A deep dive into the internal architecture of Next.js App Router. Covers the SWC/Turbopack compilation pipeline, the RSC wire protocol, the four-layer caching architecture, rendering strategies, middleware execution, Server Actions, and the self-hosted vs managed deployment tradeoffs.
How Cassandra Works: Wide-Column Storage, Gossip Protocol, and Tunable Consistency From Write Path to Compaction
A deep dive into Apache Cassandra internals: the wide-column data model, write and read paths, compaction strategies, gossip protocol, consistent hashing with vnodes, tunable consistency, replication, hinted handoff, and anti-entropy repair. With TypeScript examples and a tradeoffs table.
How MySQL Works Internally: InnoDB Storage, Buffer Pool, and the Redo Log Behind the World's Most Popular Open-Source Database
A deep dive into MySQL/InnoDB internals: the clustered index B+ tree storage engine, the buffer pool and adaptive hash index, undo log-based MVCC, the redo log and doublewrite buffer for crash recovery, the query optimizer, and GTID-based replication.
How the TypeScript Compiler Works: Parsing, Type Checking, and the Emit Pipeline From Source to JavaScript
A deep dive into TypeScript compiler internals covering the five compilation phases (scanner, parser, binder, type checker, emitter), how the Program object manages tsconfig resolution, declaration file generation, incremental compilation with .tsbuildinfo, and how this knowledge helps you debug confusing type errors and optimize build performance.
The AI Productivity Paradox: Why Your Team Ships More Code but Delivers Less
AI coding tools create an illusion of velocity at the individual level while degrading team-level delivery, quality, and maintainability. The core mechanism is a 5x+ senior/junior productivity split that aggregate metrics hide entirely.
How ClickHouse Works: Columnar Storage, Vectorized Execution, and the MergeTree Engine Behind Real-Time Analytics
A deep-dive into ClickHouse internals for senior engineers: columnar storage mechanics, the MergeTree engine family, vectorized query execution with SIMD, materialized views, replication via ClickHouse Keeper, and when ClickHouse is the right choice versus alternatives.
How PostgreSQL Works Internally: Storage, MVCC, Query Planning, and the WAL
A deep dive into PostgreSQL internals: heap-based storage with page layout and TOAST, MVCC tuple versioning and vacuum mechanics, the query planner's cost model, and the write-ahead log for crash recovery.
Event-Driven Architecture in Practice: Message Brokers, Event Sourcing, and the Trade-offs Nobody Warns You About
A deep dive into event-driven architecture covering message broker mechanics for Kafka, RabbitMQ, and SQS/SNS, event sourcing with event store design and projection rebuilds, CQRS, saga patterns for distributed transactions, delivery semantics, dead letter queues, idempotency, backpressure, and concrete anti-patterns where EDA is the wrong choice.
From Vibe Code to Production: Rescuing AI-Generated Codebases
A systematic methodology for taking an AI-generated codebase through triage, stabilization, and hardening. Covers the specific failure patterns that appear at scale, a security and architecture audit checklist, the stabilize-refactor-harden rescue sequence, and a decision framework for rewrite vs. refactor.