Blog — Page 39 of 53
Browsing page 39 of 53 — 634 articles and counting.
API Design Governance for Growing Teams: Style Guides, Review Processes, and Evolving APIs Without Breaking Consumers
A practical guide for engineering leaders scaling from 5 to 50+ engineers who need consistent, evolvable APIs across teams without creating governance theater.
Auditing AI-Generated Codebases: How to Refactor and Productionize Vibe-Coded Software
A practical guide for founders and CTOs who built a working product with Cursor, Claude Code, or Copilot and now need to take it to production quality. Covers systematic audit checklists, prioritization frameworks, refactoring strategies that preserve working behavior, and how to onboard engineers onto an AI-generated codebase.
Choosing Your Startup Tech Stack in 2026: A Decision Framework for Founders and First-Time CTOs
A practical framework for founders and first-time CTOs choosing a technology stack they can live with for 2-3 years. Covers real decision axes, dominant stacks, infrastructure choices, and concrete recommendations by startup archetype.
Engineering Budget Planning for Startup CTOs: Cloud Costs, Tooling Spend, and Headcount Modeling
A practical guide for first-time CTOs on categorizing engineering spend, modeling cloud costs, auditing tooling, planning headcount, and presenting budgets to non-technical founders and boards.
Designing a Distributed ID Generator: UUIDs, Snowflake IDs, and Coordination-Free Sequences at Scale
A deep dive into generating unique identifiers in distributed systems. Covers UUID v4 and v7, Twitter's Snowflake approach, ULIDs, and coordination-free strategies, with TypeScript implementations, tradeoff comparisons, and production considerations for clock skew and multi-region deployments.
Designing a Distributed Key-Value Store: Partitioning, Replication, and Consistency Guarantees
A deep dive into distributed key-value store design covering consistent hashing, virtual nodes, replication strategies, consistency models, conflict resolution with vector clocks and CRDTs, and production considerations like compaction and read repair.
Designing a Real-Time Fraud Detection System: Rules Engines, ML Scoring, and Stream Processing at Scale
How to architect a real-time fraud detection pipeline using a three-layer approach: deterministic rule engines, ML model scoring, and stream processing for event correlation. Covers data modeling, feature stores, latency budgets, and the false positive tradeoff.
Designing a Search Engine: Inverted Indexes, Relevance Scoring, and Query Processing at Scale
A deep-dive into search engine internals: inverted index construction, tokenization pipelines, BM25 scoring, query parsing and execution, index sharding and replication, near-real-time indexing, faceted search, and the precision vs. recall tradeoffs that define production search systems. TypeScript examples throughout.
Building a Plugin System in TypeScript: Dynamic Loading, Sandboxing, and API Contracts for Extensible Applications
How to design and build a production plugin system in TypeScript. Covers lifecycle management, stable API contracts with Zod, dynamic import patterns, sandboxing strategies, dependency injection, and versioning, with complete TypeScript examples.
Building Multi-Tenant SaaS with Next.js: Tenant Routing, Theming, and Data Isolation in the App Router
A practical guide to multi-tenant SaaS architecture in Next.js App Router. Covers tenant identification (subdomain, path prefix, custom domain), middleware routing, per-tenant theming with CSS variables and server components, database isolation patterns with RLS, caching with tenant context, and authentication flows. TypeScript examples throughout.
Local-First Software Architecture: CRDTs, Sync Engines, and Offline-Capable Web Apps
A deep dive into local-first architecture for web apps, covering CRDTs, sync engine design, conflict resolution without a central authority, storage primitives, and honest tradeoffs versus traditional client-server.
Micro-Frontends in Practice: Module Federation, Independent Deployments, and When the Complexity Is Worth It
A practical guide to micro-frontend architecture for growing engineering teams. Covers real problems, implementation approaches, shared state and routing challenges, TypeScript integration, performance implications, and a clear decision framework.