Insights on AI-augmented development, building production software, and modern engineering practices.
Most websites are invisible to LLMs like ChatGPT, Claude, and Gemini. A practical guide to llms.txt, robots.txt for AI bots, structured data, and the technical changes that make your site LLM-ready.
AI-augmented development combines 15 years of architecture expertise with AI coding agents like Claude Code to deliver production software 5x faster. Learn how it works, why it matters, and when to use it.
Everything you need to know about building an MVP in 2026 — scope, cost, timeline, technology choices, and common mistakes. A practical guide from an engineer who has shipped 29+ production products.
A practical comparison of custom development, off-the-shelf SaaS, and low-code platforms. Decision framework with cost, timeline, and scalability analysis from 15 years of building production software.
Transparent breakdown of software development costs in 2026 — from $5,000 MVPs to $200K+ enterprise platforms. Real pricing data from 29 projects with a 100% Job Success score.
A behind-the-scenes look at how we use Claude Code — Anthropic's AI coding agent — to build production software in weeks instead of months. Real workflow examples, actual timelines, and honest limitations.
An honest, experience-based comparison of Node.js and Python for backend development. Performance benchmarks, ecosystem analysis, use cases, and when to choose each — from an engineer who uses both daily.
A practical guide to hiring software developers — evaluation criteria, red flags, questions to ask, and how to compare proposals. From someone who has been on both sides of the hiring conversation for 15 years.
Practical API architecture patterns for production systems — authentication, rate limiting, versioning, error handling, and database design. Real patterns from 29 production projects.
Greensboro, North Carolina is quietly building a tech ecosystem. Lower costs, proximity to Research Triangle, growing talent pool, and business-friendly environment make it an ideal base for software companies.
How AI-powered code review works, what it catches that humans miss, and how we combine Claude Code with 15 years of engineering experience to audit codebases for quality, security, and maintainability.