Blog — Page 43 of 53
Browsing page 43 of 53 — 634 articles and counting.
Managing AI-Generated Technical Debt: A Practical Framework for Teams Shipping with Copilot and Claude
AI coding tools accelerate generation but create three distinct new forms of technical debt: cognitive debt, verification debt, and architectural debt. This guide gives engineering teams a concrete framework to measure, govern, and remediate each one.
Remote Engineering Team Playbook: Async Communication, Documentation-First Culture, and Managing Distributed Teams
A practical guide to running effective remote and distributed engineering teams: async-first communication, documentation as the system of record, meeting hygiene, timezone management, and how to build trust without an office.
The Startup CTO's First 90 Days: Technical Priorities, Quick Wins, and Mistakes That Compound
A concrete 90-day framework for new CTOs at startups: what to audit in week one, which quick wins actually matter, when to make architecture bets, and which mistakes cost you six months.
Consensus Algorithms Explained: Raft, Paxos, and How Distributed Systems Agree
A deep-dive into distributed consensus: why FLP impossibility and network partitions make agreement hard, how Paxos works and why it's notoriously difficult to implement correctly, how Raft simplifies the problem with leader election and log replication, and when you actually need consensus versus simpler coordination approaches.
Designing a Key-Value Store: Hash Tables, LSM Trees, and Compaction Strategies
A deep technical exploration of how key-value stores work internally. Covers in-memory hash tables, LSM trees with SSTables, write-ahead logs, size-tiered vs leveled compaction, and a decision framework for choosing between Redis, DynamoDB, and RocksDB-based stores.
Designing a Time-Series Database: Storage Engines, Downsampling, and Retention Policies at Scale
A deep technical breakdown of how time-series databases work internally. Covers storage engine choices, write path optimization, out-of-order ingestion, range scan queries, downsampling, tiered retention, cardinality explosions, and when to use a dedicated TSDB versus TimescaleDB.
Astro vs Next.js in 2026: When to Choose Each for Your Next Project
A practical comparison of Astro and Next.js for different project types in 2026, covering architecture, rendering, performance, and the "why not both" pattern teams actually use in production.
Building Embedded Payment Flows with Stripe Connect: Multi-Party Payouts, Fee Splitting, and Platform Architecture
How to architect a platform payment system using Stripe Connect. Covers account types, charge models, fee splitting, payout mechanics, onboarding flows, webhook handling, dispute management, and compliance.
Web Application Security in Production: CORS, CSP, XSS, and CSRF Protection in TypeScript
A practical guide to the real attack surface of modern web applications. CORS misconfigurations, Content Security Policy, XSS prevention, CSRF patterns, and supply chain hygiene, all with working TypeScript middleware examples.
AI Agent Evaluation in Production: Testing Frameworks, Quality Gates, and Regression Detection
How to build a rigorous evaluation harness for AI agents: offline test sets, online monitoring, CI/CD quality gates, regression detection, and A/B testing agents in production.
Knowledge Graphs for RAG: When Vector Search Alone Is Not Enough
Vector similarity retrieval breaks on multi-hop reasoning, entity relationships, and temporal ordering. This guide covers where vector-only RAG fails, how to build and query a knowledge graph, and how to combine both in a hybrid retrieval system with TypeScript examples and production tradeoffs.
LLM Function Calling in Production: Tool Routing, Input Validation, and Error Recovery Patterns
Function calling is how LLMs take actions in the world. Done naively, it creates silent failures, security holes, and unpredictable costs. This article covers the full production picture: schema design, input validation before execution, parallel vs sequential calls, error recovery, security, observability, and when to skip function calling entirely.