AI Workflows
Claude Code vs Cursor for Large Codebases: A Senior Reality Check
A technical comparison of Claude Code and Cursor for 50k+ file repositories. Latency benchmarks, refactoring costs, and how they handle circular dependencies.
Claude Code vs Cursor for Large Codebases: A Senior Reality Check
A technical comparison of RAG-based indexing versus agentic file-system access for repositories exceeding one million lines of code.
Claude Code vs Cursor for Large Codebases: A Senior Reality Check
A technical stress test of Claude Code and Cursor on a 1.2M LOC repository to measure latency, cost, and hallucination rates in legacy environments.
How to Spot AI Generated Content: A Teardown of the Semantic Seam
Identifying synthetic text requires looking past linguistic patterns to find the structural gaps where original thought should be.
AI meeting summaries that are actually useful: A decision-first approach
Stop settling for chronological recaps. Learn how to turn meeting noise into a decision-first knowledge engine using custom system prompts.
Claude Code vs Cursor for Large Codebases: A Senior Engineering Reality Check
Stop chasing hype. Here is how Claude Code and Cursor actually handle context, regressions, and complex refactors in large repositories.
Figma AI plugins worth installing: A stress test for design craft
We stress test the top Figma AI plugins on layer hygiene, pricing, and privacy to see which tools actually respect your design system.
AI for Debugging Production Incidents: A Triage Workflow
Stop treating LLMs like magic. This is a technical guide to using AI for triaging production regressions without shipping more bugs.
Claude vs ChatGPT for Long Form Writing: A Design Craft Teardown
A deep analysis of Claude and ChatGPT through the lens of product design, focusing on context windows, prose quality, and the friction of long-form creation.