The Myth of Complete Specifications
A complete specification is an illusion; real systems demand incremental discovery, and SDD only works when treated as a tool inside an iterative TinySlice loop. Winston Royce knew this in 1970.
The Cost Curve of Unchecked LLM Context
LLM workflows need context, but unmanaged context growth becomes expensive and degrades results. This piece outlines how to keep usage controlled and effective.
What Python async exposes that synchronous code hides
Asynchronous IO exposes hidden waits and coupling, revealing backpressure early and making system behaviour observable.
Hiring in an AI World
AI automates code generation. Evaluate engineers on judgement, failure reasoning, and system awareness.
The Limits of Stateless LLMs
LLMs have reached a ceiling; the next gains require engineering, not scale.
Vibe Coding Is Not Engineering
LLMs generate code, but they cannot see the engineering decisions that keep systems safe.
Why Junior Engineers Matter More as AI Expands
Junior engineers evolve toward judgement, verification, and system awareness as AI absorbs the mechanical act of coding.
When Urgency is High but Progress is Slow
A clear view of why leaders feel rising ambiguity and how structured judgement restores clarity without leadership abstractions.
Before You Adopt AI in Engineering, Answer These Five Questions
Most organisations think they are maturing in AI, but their workflows tell a different story. These five questions give engineering leaders a clear, stage‑aligned way to understand their real maturity and scale AI safely.
Agents Cannot Maintain Systems: The Additive-Transformative Gap in LLM Software Delivery
LLMs can generate code, but they cannot modify or maintain systems because system‑level work requires causal reasoning, not pattern‑matching.