Blog — Page 41 of 53
Browsing page 41 of 53 — 634 articles and counting.
Building Offline-First Web Applications: Service Workers, IndexedDB, and Sync Strategies for Production
A deep-dive into offline-first web application architecture covering service worker lifecycle, IndexedDB patterns, conflict resolution strategies, and production pitfalls that most guides skip.
React Server Actions in Production: Form Handling, Mutations, and Progressive Enhancement in Next.js App Router
A deep dive into React Server Actions in Next.js App Router for production use: form handling with useActionState, optimistic updates, Zod validation, file uploads, revalidation, rate limiting, auth context, and when not to use them.
Server-Sent Events in Production: Real-Time Updates Without WebSocket Complexity
SSE is a one-way, HTTP-native push protocol that handles 80% of real-time use cases with a fraction of the operational overhead of WebSockets. This guide covers the protocol, TypeScript implementation, reconnection mechanics, load balancer configuration, CDN behavior, and fan-out patterns for multi-user scenarios.
Building a Document Processing Pipeline with AI: OCR, Classification, and Extraction for Production Systems
How to build a production document processing system that ingests PDFs, images, and scanned documents, classifies them by type, extracts structured data, and routes downstream. Covers OCR engine selection, embedding-based classification, LLM extraction with schemas, confidence scoring, and human-in-the-loop review queues.
Building a Voice AI Pipeline: Speech-to-Text, LLM Processing, and Text-to-Speech in Production
A production-focused deep dive into end-to-end voice AI architecture covering audio capture, STT provider selection, LLM streaming, TTS synthesis, WebSocket real-time delivery, latency optimization, and cost modeling with TypeScript examples throughout.
Building an AI-Powered Code Review Pipeline: Static Analysis, LLM Review, and Automated Feedback
How to build an automated code review pipeline that combines static analysis with LLM-powered review: webhook ingestion, diff parsing, staged analysis, comment posting, prompt design, token budget management, and calibrating when to suppress automated feedback.
Automated Rollback Strategies: Health Checks, Metric Gates, and Safe Reverts in Production
Automated rollback is not just a revert button. It requires health checks that go beyond HTTP 200, metric gates that distinguish signal from noise, and rollback mechanics that account for database state, platform constraints, and the humans who have to trust the system.
Disaster Recovery for Startups: RTO, RPO, and Multi-Region Failover Without Enterprise Budgets
A practical guide to disaster recovery architecture for startups that cannot afford enterprise DR solutions. Covers RTO, RPO, DR tier levels, database replication, DNS failover, and automated switching with real TypeScript examples.
LLM Observability in Production: Token Tracking, Latency Budgets, and Prompt Drift Detection
How to monitor LLM-powered features beyond basic logging. Covers token cost attribution, latency budget design, prompt drift detection, quality regression alerting, structured tracing for agent chains, and a comparison of Langfuse, Helicone, and custom OpenTelemetry.
Building an Engineering Roadmap: Balancing Tech Debt, Features, and Infrastructure for Startup CTOs
Most startup engineering roadmaps are either a product backlog with extra steps or an unfiltered list of debt someone compiled when things broke. This guide covers how to build a real technical roadmap: the three-bucket model, how to size each bucket by company stage, stakeholder alignment, quarterly cadence, and the anti-patterns that kill team throughput.
Post-Incident Reviews That Actually Improve Systems: Blameless Retrospectives and Follow-Through
How to run post-incident reviews that produce real system improvements instead of blame games or forgotten action items. Covers blameless format, anti-patterns, PIR culture on small teams, and TypeScript tooling for timeline reconstruction and action item tracking.
The CTO's Playbook for AI Coding Tool Adoption: Evaluation, Governance, and Team Productivity
A practical guide for CTOs and VPs of Engineering evaluating and rolling out AI coding tools. Covers evaluation criteria, pilot design, measuring real productivity impact, governance frameworks, cost modeling, cultural shift, and common failure modes.