Blog — Page 24 of 53
Browsing page 24 of 53 — 634 articles and counting.
Spec-Driven Development for AI-Augmented Teams: Writing Technical Specifications That Produce Better AI-Generated Code
AI coding tools generate dramatically different output quality depending on the specification they receive. This guide covers what a good technical spec looks like in an AI-augmented workflow, including interface contracts, acceptance criteria, anti-patterns, and how to measure whether better specs reduce bugs and rework.
Designing a Data Anonymization Pipeline: PII Detection, Tokenization, and Privacy-Preserving Analytics at Scale
Building a production-grade data anonymization system requires more than regex replacements. This guide covers PII detection with NER and rule engines, tokenization strategies including format-preserving encryption, k-anonymity vs differential privacy tradeoffs, and how to maintain analytical utility while satisfying GDPR and CCPA requirements.
Designing a Pub/Sub Messaging System: Topic Partitioning, Consumer Groups, and Exactly-Once Delivery at Scale
A deep dive into the full architecture of a production pub/sub messaging system, covering partitioning strategies, consumer group rebalancing, delivery guarantees, and the hard operational problems teams run into after launch.
Designing a Time-Series Data Platform: Ingestion, Storage, and Query Patterns at Scale
A deep-dive into time-series data platform architecture covering ingestion pipelines, storage engine choices, query patterns, and a production comparison of TimescaleDB, ClickHouse, and InfluxDB.
Building Browser Extensions with TypeScript: Content Scripts, Service Workers, and Cross-Browser Distribution
A production-focused guide to building browser extensions with TypeScript and Manifest V3. Covers architecture, background service workers, content script injection, cross-context messaging, storage APIs, cross-browser compatibility, and the review process for Chrome and Firefox.
Building Type-Safe APIs with Hono and TypeScript: Routing, Validation, and End-to-End Type Inference
A practical guide to building production-ready APIs with Hono and TypeScript. Covers route typing, Zod validation middleware, RPC-style client inference, error handling, and middleware composition with real code examples.
React Compiler in Production: Automatic Memoization, Build-Time Optimization, and Migration Strategies for Existing Codebases
A production engineering guide to the React Compiler. Covers how automatic memoization works at the compiler level, build integration across Vite and Next.js, migration concerns for rule-violating components, and a decision framework for adoption.
AIOps in Practice: Using LLMs for Log Analysis, Incident Correlation, and Automated Root Cause Analysis
A practical guide to applying LLMs to operational intelligence. Covers log pattern extraction with embeddings, incident correlation across services, automated root cause analysis pipelines, alert noise reduction, and honest cost/latency tradeoffs.
Building an AI-Powered Code Migration Pipeline: AST Parsing, LLM-Driven Refactoring, and Automated Validation for Framework Upgrades
A practical guide to building a code migration pipeline that combines AST parsing with LLM-driven refactoring for framework upgrades. Covers ts-morph integration, prompt construction from AST context, validation strategies, and how to handle the 20% of cases where LLMs need human oversight.
RAG Pipelines in Production: Chunking Strategies, Retrieval Tuning, and the Failure Modes Nobody Talks About
Beyond the basic RAG tutorial: chunking strategies, embedding model selection, HNSW tuning, retrieval quality measurement, reranking, and the failure modes that only surface at scale.
Docker to Serverless: A Migration Playbook for Production Applications
A practical migration guide for teams moving containerized applications to serverless platforms. Covers assessment, migration patterns, state handling, connection pooling, cost modeling, monitoring, and rollback strategies with TypeScript examples.
GitHub Actions at Scale: Reusable Workflows, Matrix Strategies, and Self-Hosted Runners for Monorepo CI/CD
A practical guide to scaling GitHub Actions beyond basic workflows. Covers reusable workflows, matrix strategies, self-hosted runner autoscaling on Kubernetes, monorepo path triggers, and cost optimization patterns for engineering teams managing large repositories.