AI Governance at Engineering Scale — What Actually Works
Most organisations have an AI governance policy and no implementation — here's what governance looks like when it's actually running at the engineering team level.
Akash Talole
The Engineering Skill Stack for 2027 — What to Invest in Now
The skills that were table stakes for senior engineers two years ago are depreciating fast — here's where to invest your learning time heading into 2027.
Voice and Audio Agents in Engineering Workflows — Practical Patterns
Voice-driven AI in engineering workflows isn't science fiction anymore — here are the patterns that actually work and the ones that don't.
AI-First Sprint Retrospectives — What to Review Differently When AI Writes the Code
Standard retro formats weren't designed for teams where AI tools write significant portions of the code — here's what to add and why it matters.
Fine-Tuning vs. RAG in 2026 — An Updated Decision Framework
The fine-tuning vs. RAG debate has a different answer in 2026 — 200k+ context windows and widely available fine-tuning APIs have shifted where each approach makes sense.
Supply Chain Security for AI Systems — Models, Packages, and Data
The AI stack has a supply chain attack surface most teams aren't thinking about — here's what to audit and how to defend it.
AI-Native Database Interfaces — Beyond Text-to-SQL
Text-to-SQL is the obvious starting point for AI database access, but the patterns that work in production go significantly further — and require rethinking how you expose your data layer.
Real-Time Agents — Latency Patterns for Interactive AI Systems
Building AI agents that respond fast enough for interactive use requires a different set of patterns than batch processing — here is what actually moves the needle on latency.
Agent Swarms vs. Single Powerful Agents — When Each Architecture Makes Sense
The choice between many small agents and one powerful agent is an architectural decision with real cost and reliability implications — here is how to make it deliberately.
Long-Context Strategies for Large Codebases — When the Repo Won't Fit
Most production codebases are too large to fit in any context window — here are the strategies that actually work for AI-assisted development at scale.