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Code for Humans and Machines
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Trends & Reflections
AI-Readable Code
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Compressed Cognition: The Cost of Faster Coding
Agentic coding collapses the timeline of software decisions. What we gain in speed, we pay for in decision density and mental energy. Here's a deep dive…
May 7
•
Adam Tornhill
22
4
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CLEAR: Software Design Principles for the Agentic Age
Traditional design principles optimize for human maintainability. CLEAR optimizes for safe evolution through explicit structure under AI-assisted…
Jun 9
•
Adam Tornhill
4
1
Why Merge Conflicts became the new Agentic Bottleneck
Revisiting some techniques from Your Code as a Crime Scene in the light of agentic coding. Specifically, how a socio-technical fit becomes even more…
Jun 2
•
Adam Tornhill
7
2
A Blast from the Past: SDD and the Illusion of Known Scope
Implementation was never just typing. It's discovery and learning. Tooling changed, human problem solving didn’t.
May 28
•
Adam Tornhill
7
2
Make the Domain Explicit: From Procedural Mess to Local Reasoning
The more code hides, the more humans and agents have to reconstruct before making a safe change. In this article, we break apart a complex procedural…
May 21
•
Adam Tornhill
5
1
How Much of my Writing is AI-Generated?
Writing is learning. LLMs remove that component.
May 19
•
Adam Tornhill
3
1
Reveal Intent in Complex Conditions
Extraction in itself is useless. Naming makes the difference. Here we refactor complex conditions to improve agentic coding.
May 14
•
Adam Tornhill
1
Kill the Conditional Maze: From If-Statements to Rule Pipelines
Why long conditionals break both humans and agents, and how to refactor tangled if-chains into clear, composable rules that scale with change.
May 5
•
Adam Tornhill
7
2
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Code for Humans and Machines
Designing AI-aware software in practice through practical refactoring patterns and principles.
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