Own Your Layer: How to Handle Abstraction Failures
Own your layer with a pragmatic detect–contain–recover mindset. Learn how to handle abstraction failures by designing interfaces, observability, and fallbacks so your systems stay resilient.
Differentiate when AI commoditizes knowledge with judgment, execution, and trust
AI is flattening knowledge advantages; your defensible moat is applied judgment, end-to-end delivery, and trust inside real constraints. Learn how to reframe decisions, own the critical path, and systematize relationships to differentiate when AI commoditizes knowledge.
Prevent Knowledge Debt: A Proven Way to Stay Fast
Speed creates volume—and silent debt. Separate creation from management and run a simple weekly loop to prevent knowledge debt and keep teams fast.
Build AI-First System Design Interview: Measure the Path, Not the Pitch
Learn how to build AI-first system design interview loops that start with an AI baseline and drip evolving constraints. Review the full path to surface real engineering judgment.
How to Persuade With Data: Build Trust, Normalize Ranges, and Move Decisions
Equal weights can still skew outcomes. Learn how to persuade with data by normalizing ranges, framing real stakes, and building trust so correct analysis actually drives decisions.
How to decouple AI architecture for flexible, safer scaling
Decouple models, agents, tasks, and orchestration into interchangeable layers with explicit contracts. Learn how to decouple AI architecture for safer upgrades and faster experiments.
Accelerate Engineering Experiments with AI: Proven Speed
AI turns engineering into many small, parallel bets where failure is cheap and recovery is instant. Design resilient workflows that accelerate engineering experiments with AI and compound learning without heavy downside.
Improve engineering decisions with AI: Your judgment, unburdened
Improve engineering decisions with AI by using a structured sidecar that surfaces alternatives, tradeoffs, and failure modes. Keep judgment central, reduce cognitive load, and move faster with lower risk.
Scrapping Routines to Build Adaptable Engineering Teams
Adaptability isn’t luck—it’s designed. Learn how to build adaptable engineering teams by hiring for learning, rewarding collaboration, and normalizing rapid iteration.
Build AI Software Engineering Workflows as Infrastructure
AI delivers real leverage when it runs across your entire stack. This post shows how to build AI software engineering workflows that compound via four multipliers.