Blog — Page 28 of 53
Browsing page 28 of 53 — 634 articles and counting.
Designing an Inventory Management System: Stock Reservations, Consistency Under Concurrent Writes, and Oversell Prevention at Scale
A deep-dive into inventory system design for e-commerce and marketplace engineers: data models, soft vs hard reservations with TTLs, optimistic locking, CAS operations, distributed warehouses, and the consistency vs availability tradeoff.
Building a Design System in React: Component APIs, Token-Based Theming, and Automated Visual Regression Testing
A practical guide to building a production React design system from scratch, covering component API design, design token architecture, Storybook integration, visual regression testing, and versioning strategy for growing teams.
Building a SaaS Onboarding Flow: Product Tours, Activation Metrics, and Progressive Disclosure in Next.js
A practical guide to building production onboarding in Next.js. Covers step-based wizard architecture with server-side state, database-backed progress tracking, role/plan conditional rendering, Floating UI product tours, activation metric design, progressive disclosure patterns, and a state machine approach for multi-step flows. TypeScript examples throughout.
Building Real-Time Dashboards with Server-Sent Events: Live Metrics, Chart Updates, and Connection Recovery in Next.js
A practical guide to streaming live metrics into a Next.js dashboard using SSE Route Handlers, efficient chart re-rendering without full redraws, missed-event recovery, and Redis pub/sub fan-out for multi-instance deployments.
Building a Conversational Analytics System: Natural Language Queries, Dashboard Generation, and Data Storytelling with LLMs
How to build a system that lets users ask questions about their data in plain English and get charts, tables, and narrative answers back. Covers intent classification, text-to-SQL with schema context, visualization selection, narrative summarization, and caching with guardrails for safe SQL execution.
Building an Agentic RAG System: Query Planning, Multi-Source Retrieval, and Self-Correcting Answer Pipelines
Naive RAG fails on complex queries. This guide covers the full architecture of agentic RAG: query decomposition with LLMs, multi-source retrieval orchestration across vector DBs, SQL, and APIs, answer synthesis with source attribution, and self-correction loops with TypeScript code throughout.
Deploying ML Models Behind Feature Flags: Gradual Rollouts, Shadow Mode, and A/B Testing for AI in Production
How to safely deploy machine learning models and LLM-powered features using feature flag infrastructure. Covers shadow mode deployments, percentage-based rollouts with automatic rollback, A/B testing with statistical significance, and the observability layer needed to compare model versions in production.
HIPAA Engineering for Startups: PHI Encryption, Access Controls, and Audit Architecture Without Enterprise Tooling
A practical engineering guide for startup teams that need HIPAA compliance without dedicated compliance staff or enterprise budgets. Covers PHI classification, encryption patterns, RBAC, audit logging, and the 2026 Security Rule update.
Production Debugging in Node.js: CPU Profiling, Memory Leak Detection, and Flame Graph Analysis
A practical guide to diagnosing CPU and memory problems in live Node.js applications without taking them offline. Covers profiling tools, heap snapshots, flame graphs, async hooks, and continuous profiling workflows.
Engineering Productivity Metrics That Actually Matter: DORA, SPACE, and What to Measure Without Destroying Trust
A practical guide for engineering leaders on measuring team productivity without creating perverse incentives. Covers DORA, the SPACE framework, why lines of code and story points are harmful proxies, and how to build a metrics dashboard your team actually trusts.
Governing AI Agents in Your Engineering Organization: Shadow AI Detection, Sanctioned Workflows, and Risk Frameworks for CTOs
A practical guide for startup CTOs dealing with the shadow AI problem: how to detect ungoverned AI usage, build a sanctioned tooling stack, and create a governance framework that moves at startup speed without creating bureaucratic overhead.
How to Evaluate an Engineering Agency: The Questions, Red Flags, and Decision Framework CTOs Use in 2026
A practical framework for CTOs and startup founders evaluating engineering agencies in 2026, covering AI-readiness, senior talent ratios, KPI-linked delivery, debt management, and the red flags that disqualify an agency before the conversation starts.