AI Workflows
AI Pair Programming Workflow: Managing Technical Debt and Context
Stop chasing velocity at the cost of maintainability. Here is how to build an AI pair programming workflow that actually reduces technical debt.
Repurposing long form content with AI: A Guide to Contextual Integrity
Learn how to transform massive transcripts and technical whitepapers into accurate social content without losing your brand's nuance or factual precision.
Claude Code vs Cursor for Large Codebases: A Staff Engineer Review
A technical breakdown of Claude Code and Cursor for handling massive repositories without causing a production incident or a messy rollback.
Notion AI vs Obsidian AI for Product Teams: A Design Craft Review
A deep comparison of Notion AI and Obsidian AI through the lens of product design, focus, and team collaboration.
Using AI for Kubernetes Troubleshooting: A Production Guide
Stop dumping raw logs into ChatGPT. Learn how to build a secure, cost-effective pipeline for using ai for kubernetes troubleshooting with GitOps validation.
Using AI for design systems: A guide to living libraries
Learn how to use AI for design systems to audit components, automate documentation, and bridge the gap between design artifacts and production code.
AI Ops Tools Comparison: Beyond the Automated Hype
A staff engineer's teardown of AIOps. We look at where tools like Groq and Selzee actually help, and where they just add noise to your on-call rotation.
AI for User Research Synthesis: Turning Data into Design Insight
Learn how to use AI for user research synthesis to transform messy transcripts into structured insights without losing the human nuance of your design process.
Automated Incident Response with AI: A Governance-First Guide
Stop letting LLMs have root access. Learn to build a policy-driven framework for automated incident response with AI using hard guardrails and deterministic checks.