Series
Engineering with AI
Practitioner notes on building, prompting, and collaborating with AI — from prompt engineering and Socratic dialogue with models to agentic coding, quality gates, planning boundaries, and engineering leverage in the age of AI.
15 posts in total
Posts in this series, in order
Stepping Forward: Setting SMART Goals for AI & LLM Literacy in Engineering Leadership
A practical guide to taking the first step in GenAI literacy as an engineering leader, defining measurable learning goals, and building organizational support for AI adoption.
Eighteen Days Later: Prompt Engineering & the MASTER Technique
Time flies when you're learning something cool - discovering how prompt engineering is design thinking, not magic, through the MASTER framework.
Automate Prompting with Smart Text Replacements on macOS
When productivity meets creativity - transforming how you interact with AI through automated smart prompts and native macOS features.
Using AI to Think Better (Not Just Faster)
Stop outsourcing your thinking - learn to use AI as a sparring partner that makes you think better, not just faster, through disciplined questioning.
Prompting for Models, Not Just Humans
Why we must learn to write for machines - creating prompts that are unambiguous, modular, and portable across AI systems and tools.
From Repetition to Automation with GenAI
When repetition becomes a signal for automation—discover how to move from manual tasks to intelligent workflows that scale your intent.
Co-Intelligence: Living, Working, and Rubber Ducking with AI
Quality Gates in the Age of Agentic Coding
From 3 Hours to 10 Minutes: How We Automated User Story Creation
Building a custom GPT that cut our story writing time by 90% while improving quality and consistency across teams.
It is time for Agent-Friendly Codebase
Stop rewriting prompts. Start fixing your repository.
Teaching the Agent How to Work: Claude Code, Skills, and Agentic Collaboration
Architecture defines where logic belongs. Skills define how change unfolds.
When the Agent Asks Back: Interactive Planning and Specification Boundaries
Specification ambiguity is the last bottleneck. Interactive planning is how you fix it.
Swarming the Codebase: Orchestrated Execution with Multiple Claude Code Agents
Parallel agents without isolation is not acceleration. It is entropy.
Accelerate Meets AI: Using DORA Metrics to Observe, Align, and Improve Engineering Collaboration
What I learned leading teams through AI adoption
Engineering Leverage in the Age of AI
Increasing throughput without increasing headcount