Blog — Page 31 of 53
Browsing page 31 of 53 — 634 articles and counting.
Building AI Agents That Actually Work: Tool Use, Memory, and Reliability in Production
Move beyond demo agents to production-grade AI systems. Covers ReAct vs plan-and-execute architecture selection, tool schema design and validation, memory layers, reliability patterns, observability for agent chains, cost control, and when the agent abstraction is the wrong choice entirely.
Build Caching Strategies for CI/CD: Docker Layer Caching, Dependency Caching, and Reducing Pipeline Times by 80%
A practical guide to CI/CD build caching strategies: Docker layer ordering, npm/pnpm lockfile caches, Turborepo remote caching for monorepos, test result caching, and artifact reuse. Includes before/after benchmarks and tradeoffs table for GitHub Actions and GitLab CI.
Policy as Code in Practice: Open Policy Agent, Rego, and Automated Compliance Enforcement in CI/CD Pipelines
How to encode security, compliance, and operational policies as version-controlled code using OPA, Rego, and TypeScript. Covers Kubernetes admission control, Terraform plan validation, API authorization, CI/CD gates, policy testing, and production tradeoffs against Cedar and Sentinel.
Engineering Organization Design for AI-Augmented Teams: Roles, Workflows, and Productivity When AI Generates 40% of Your Code
When AI coding tools generate a significant share of your team's output, the organizational model that got you here stops working. This is a practical guide to restructuring roles, workflows, hiring, and metrics for teams where AI is a real contributor.
Running a Technical Discovery Phase: How to Scope Engineering Projects Before Committing Budget and Timeline
A practical framework for running a 1-2 week technical discovery phase before committing to a project build. Covers what discovery delivers, the four core activities, how to structure deliverables, red flags that should kill a project early, and how to price discovery as a service.
Technical Decision Records: How to Make Architecture Decisions That Stick
Most architecture decisions get lost in Slack, reversed without context, or silently abandoned. This guide covers the full ADR lifecycle: format, lightweight templates, when to write one (and when not to), how to keep them discoverable, anti-patterns that kill adoption, and how to wire ADRs into code review so they actually change behavior.
When to Build vs Buy: A Decision Framework for Startup Engineering Teams
The build vs buy decision is one of the most consequential and most poorly made decisions at startups. This guide provides a concrete scoring framework covering the true cost of each option, when each is clearly right, the dangerous middle ground, and how to evaluate vendors without getting sold.
Designing a Data Lakehouse: Unifying Data Lakes and Warehouses with Iceberg, Delta Lake, and Modern Query Engines
A practical guide to data lakehouse architecture: how Apache Iceberg, Delta Lake, and Apache Hudi unify the storage flexibility of data lakes with the reliability guarantees of warehouses. Covers table formats, catalog services, query engine integration, schema evolution, time travel, and production considerations for startups building analytics infrastructure.
Designing an IoT Data Pipeline: Device Ingestion, Time-Series Storage, and Real-Time Fleet Dashboards at Scale
Building backend infrastructure for device fleets is a different problem than building web APIs. This guide covers the full IoT data pipeline architecture: ingestion protocol selection (MQTT, HTTP, WebSocket), time-series database tradeoffs (TimescaleDB, InfluxDB, QuestDB), stream processing for anomaly detection, and real-time fleet dashboard delivery.
Building Accessible Web Applications: ARIA Patterns, Keyboard Navigation, and Automated Testing in React
A practical guide to building accessible React applications with semantic HTML, ARIA patterns, keyboard navigation, accessible custom components, and automated testing using axe-core and Playwright.
Building Type-Safe APIs with Hono and TypeScript
A practical guide to building fully type-safe REST APIs with Hono and TypeScript. Covers Hono's RPC client for end-to-end type safety, Zod schema validation, middleware patterns, error handling, testing strategies, and deployment to Cloudflare Workers, with comparisons to Express and Fastify approaches.
Migrating from No-Code to Production Code: Database Extraction, API Reconstruction, and Incremental Cutover Strategies
A technical guide for teams outgrowing Bubble, Retool, or Webflow. Covers data extraction, schema redesign, rebuilding typed APIs, auth migration, and incremental cutover strategies that avoid the big bang rewrite trap.