Why Early Architectural Decisions Restrict Your Future Options
Residuality is the discipline of designing boundaries that keep future options open by preventing early implementation choices from defining a whole architecture.
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.
What Python async exposes that synchronous code hides
Asynchronous IO exposes hidden waits and coupling, revealing backpressure early and making system behaviour observable.
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.
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.
Global AI Trends 2024–2025
Global evidence shows rapid AI adoption, rising capability, and widening gaps between regions and firms, with the US driving investment and commercial uptake.
Evaluating AI Systems: Metrics that Matter
Evaluating AI systems means measuring real behaviour, not synthetic benchmarks.