Blog

What actually changed when React 19 hit production — the patterns that replace useEffect, and the migration mistakes I made so you don't have to.

Prompt caching, model routing, batch APIs, and structured outputs — the practical playbook that turned a six-figure inference bill into a five-figure one.

Combining ERC-4337 smart accounts with AI agents to build wallets that auto-pay subscriptions, rebalance portfolios, and enforce spending policies.

The new ops stack for AI — how to trace agent runs, build eval harnesses, and catch silent regressions before your users do.

How WebGPU plus quantized open models lets you ship private, offline-capable AI features straight to the browser — with real benchmarks.

Architecture, latency tricks, and turn-taking patterns for production-grade voice agents — from telephony to in-browser real-time APIs.

Vibe coding is fading — specs are back. How writing precise specs (not prompts) gets the most out of Claude Code, Cursor, and Copilot Workspace.

A field guide to deciding when to invoke reasoning models, how to budget thinking tokens, and patterns that justify the latency tradeoff.

How modern AI agents control real desktops and browsers — building reliable computer-use workflows with screenshot grounding and action loops.

A practical guide to MCP — the open standard letting any AI agent talk to any tool, database, or service through a single protocol.

Hard-won lessons from a decade of building software — from code quality to team dynamics to knowing when to ship.

How React Server Components enable new AI-powered patterns — server-side AI inference, streaming AI responses, and smart caching.

Moving beyond static RAG pipelines to agentic retrieval where the AI decides what information it needs and how to get it.

Integrate AI agents into your CI/CD pipeline to auto-generate tests, detect flaky tests, and provide intelligent failure analysis.

Using AI agents to automatically audit smart contracts for common vulnerabilities like reentrancy, overflow, and access control issues.

Understanding the different types of memory in AI agents and how to implement them for better context retention.

How to build a consistent, maintainable design system using Tailwind CSS and shadcn/ui components in a Next.js project.

Deep dive into how AI agents use tools — designing tool schemas, handling errors, and chaining tool calls for complex workflows.

How to evolve your engineering career by mastering AI tools — from prompt engineering to agent orchestration.

Create an AI agent that monitors DeFi protocols, analyzes opportunities, and executes transactions autonomously.

Exploring UI components that adapt to users in real-time using AI — personalized layouts, smart forms, and predictive interfaces.

Build an AI agent that reviews pull requests, catches bugs, suggests improvements, and enforces coding standards.

Advanced patterns including parallel routes, intercepting routes, and streaming that make Next.js 15 apps blazing fast.

A practical comparison of retrieval-augmented generation and fine-tuning approaches for building AI-powered applications.

Step-by-step guide to building a functional AI agent that can browse the web, write code, and complete tasks autonomously.

How to design systems where multiple AI agents collaborate - planner, coder, reviewer, and tester working in concert.

AI agents are no longer science fiction. From code generation to autonomous debugging, discover how AI agents are transforming how we build software in 2025 and beyond.

From ReAct to multi-agent orchestration, explore the key design patterns powering the next generation of AI-driven applications.

React 19, Server Components, and the evolving ecosystem - a practical guide to building React applications that are fast, maintainable, and future-proof.

Exploring the powerful intersection of blockchain technology and AI agents - from autonomous trading to decentralized AI governance.