Strategy / February 5, 2026
Scaling AI Adoption Without Losing Control
How to roll out AI tools across your engineering organization while maintaining security, compliance, and cost control.
Journal
AI Engineering Insights
& Ideas
Practical perspectives on agentic AI from engineers who build it every day.
Strategy / May 20, 2026
The Forward Deployed Engineer You Can’t Hire
Vendor FDEs ship the demo and leave. Your team inherits the cliff. Here’s why the hottest role in AI doesn’t transplant into your org chart.
Technical / May 16, 2026
Your TypeScript Backend Is Slop Without Effect
Thrown errors the compiler never sees. Async code that leaks under load. The honest case for making Effect the default on any backend that matters.
Tools / February 15, 2026
Configuring AI Coding Assistants for Your Stack
Generic configurations leave value on the table. Here’s how to customize AI coding tools for your specific environment.
Technical / February 7, 2026
The Architecture of Production-Ready Agentic Systems
Moving from demo to production requires rethinking how you structure agentic systems. We break down the key architectural decisions that separate reliable systems from fragile experiments.
Technical / February 11, 2026
LLM Orchestration Patterns That Actually Work
Chains, agents, workflows. Everyone has opinions. Here’s what we’ve seen survive production.
Case Study / February 19, 2026
From 2 Hours to 15 Minutes: Automating Code Review
How we helped a fintech team reduce code review bottlenecks with an AI-assisted system that catches issues before human reviewers.
Tools / February 17, 2026
Security Considerations for AI Coding Tools
What you need to know about data privacy, prompt injection, and secure deployment when adopting AI coding assistants.
Strategy / February 13, 2026
The ROI Question: Measuring AI Tool Impact
Beyond vibes: practical frameworks for measuring the actual productivity impact of AI tools on your engineering team.
Technical / February 3, 2026
Testing Agentic Systems: A Practical Guide
Traditional testing doesn’t fit non-deterministic AI systems. Here’s how we approach testing for reliability.
Case Study / February 9, 2026
Building an Internal AI Platform from Scratch
A behind-the-scenes look at how we helped a 200-person engineering org build their internal AI developer platform.
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