Recent Blog Posts
Insights on AI Agents, Modern Web, and the Future of Engineering.
CAPEX vs OPEX in the AI Era: Building vs. Renting Intelligence
A practical guide to understanding how Capital Expenditure (CAPEX) and Operating Expenditure (OPEX) apply to AI infrastructure, with a breakdown of the trade-offs for building your own intelligence vs. renting it on demand.
Transforming a Reactive LLM Chatbot into an Agentic System
An architectural roadmap for moving from a single-turn, reactive LLM chatbot to a smart autonomous agent: planning loops, multi-tiered memory, multi-agent delegation, dynamic tool retrieval, and self-healing.
Demystifying Graph Engineering in the Age of AI Agents
An overview of graph engineering for AI agents, covering harness, loop, and graph concepts, why it differs from knowledge graphs, and how fan-out, join, and router nodes power reliable agentic workflows.
AI-Driven Full-Stack Architecture: Token Economics of Building with Rust and Next.js
Explore the token economics of building full-stack apps with Rust and Next.js under AI-assisted workflows. Learn codebase tokenization patterns, agent loop costs, and optimization techniques.
Context-Driven Development: Managing AI Agents, System Architecture, and CI/CD with INTENT.md, DESIGN.md, and AGENTS.md
Learn how to enforce structured context for AI coding agents and CI/CD pipelines using INTENT.md, DESIGN.md, and AGENTS.md with automated GitHub Actions guardrails.
How to Connect Your Local Filesystem to ChatGPT with MCP
A complete guide to connecting your local filesystem to ChatGPT using Model Context Protocol (MCP), including setup, security best practices, and architecture patterns.
From Autocomplete to Agents: The Shift That Changes Everything
The AI that helps you write code has evolved. Understanding the fundamental difference between tools that suggest and tools that act.
Multi-Agent and Role-Based Work: When One Agent Isn't Enough
Learn when and how to scale from single agent to multi-agent systems with role-based development, structured handoffs, and adversarial review.
Prompting for Reliable Agents: The Four-Part Specification
Master the art of prompting for agentic coding with the four-part specification structure: Goal, Context, Constraints, and Done-When.
Supervising Agents Like a Team: The Contractor Model
Apply engineering management discipline to agentic work with the Contractor Model: scope, equip, run, review, gate on CI, and audit afterward.
Give the Agent a Check to Run: The Verification-First Approach
Design workflows where verification is part of the control loop from the start, enabling autonomous agent sessions you can walk away from.
Voice Agents: Building Speech-to-Text to Agent to TTS Pipelines
Turn any text agent into a voice assistant with the OpenAI Agents SDK. Learn chained STT→agent→TTS pipelines, realtime speech-to-speech, and TTS personality tuning.