Why AI-Generated Plans Need Visual Review, Not More Text
AI solved the generation problem and created the comprehension problem. The bottleneck is no longer output volume. It is review surface area.
14 articles exploring developer tools
AI solved the generation problem and created the comprehension problem. The bottleneck is no longer output volume. It is review surface area.
Markdown is a storage format. MDX is an execution format. Every AI coding tool chose .md for agent instructions. The distinction explains why, and when MDX earns its place.
74% of AI coding tool users report meaningful productivity gains. Most designers are not in that number. The blocker is not skills or fear. It is project structure. A complete designer-ready Claude Code repo with DESIGN.md, design tokens, skills, agents, and a weekend setup guide.
Expert persona prompting reduces factual accuracy by 3.6 points. Here are the four patterns that actually work - with a decision table and real session data.
Most tools marketed as knowledge graphs for AI coding are dependency graphs. I built three production KGs, ran the experiments on LangChain, and the results were not what the vendors claimed.
Smaller, constrained AI models force clarity and structure. I build faster with Haiku than Opus because constraints eliminate bad habits. Here's why.
A journey building issue-search-skill: capturing errors once, retrieving solutions forever. Local-first knowledge management that resolves recurring issues 12x faster.
Most AI coding tool comparisons still reward the wrong things. A workflow-first breakdown of Claude Code, Cursor, Copilot, Windsurf, and Antigravity through the lens that actually matters: how teams ship under real constraints.
Why one-off prompting does not compound, and how to move from isolated prompts to repeatable AI workflows using playbooks, MCP data sources, and action layers.
A battle-tested blueprint for Claude Code projects that stay predictable at 50+ files - folder layout, .claudeignore, skills architecture, and 3 ready-to-copy templates.
The MCP servers that matter most for real AI leverage: analytics, email, calendar, GitHub, databases, observability, SEO, social, docs, and file storage. Plus practical playbooks for turning them into repeatable workflows.
A CTO's honest account of building a personal portfolio site from scratch - the decisions that made sense at the time, the bugs that didn't, and what I'd do differently.
Battle-tested techniques for .claudeignore, context compression, and multi-agent task splitting that cut token usage by 60–90% without losing Sonnet's predictive accuracy.
From a simple JSON formatter to a 400+ tool developer platform serving 100K+ users - the complete engineering journey covering architecture, zero-backend design, performance, and deployment.