Differential techniques are chronically underappreciated in software. And they pair incredibly well with coding agents. Agents are now good enough that differential analysis can even be used to refine a spec, not just code. The Bitter Lesson is, as-written, about AI. It begins: The biggest lesson that can be read from 70 years of AI research is […] But the end of that sentence is far more broadly applicable than just AI.
What spec-driven development gets wrong
The most powerful AI software development platform with the industry-leading context engine.
More Than a Tool
What We Learned from a Year of Conversations About AI
AI should help us produce better code - Agentic Engineering Patterns
AI should help us produce better code - Agentic Engineering Patterns
"Code was never the hard part" is an insult to all programmers — Senko Rašić
The software development profession is in the midst of upheaval. Nobody knows how the AI revolution will play out in the end, but it is c...
How StrongDM’s AI team build serious software without even looking at the code
Last week I hinted at a demo I had seen from a team implementing what Dan Shapiro called the Dark Factory level of AI adoption, where no human even looks …
Why AI hasn’t replaced software engineers, and won’t
Coding agents as normal technology
In Search of Vibe Coding Nirvana - Day 1 - Wesley's notes
Deliberate practice in exploring and experimenting with AI tooling
The 8 Levels of Agentic Engineering — Bassim Eledath
AI's coding ability is outpacing our ability to wield it effectively. That gap closes in levels — 8 of them. Here's the progression from tab complete to autonomous agent teams.
How Generative and Agentic AI Shift Concern from Technical Debt to Cognitive Debt
The term technical debt is often used to refer to the accumulation of design or implementation choices that later make the software harder and more costly to understand, modify, or extend over time...
A sufficiently detailed spec is code
Specifications do not address the limitations of agentic coding
Writing code is cheap now - Agentic Engineering Patterns - Simon Willison's Weblog
The biggest challenge in adopting agentic engineering practices is getting comfortable with the consequences of the fact that writing code is cheap now.
Cognition | Agent Trace: Capturing the Context Graph of Code
We’re excited to join in Cursor, Cloudflare, Vercel, git-ai, OpenCode and others in support of [Agent Trace](https://agent-trace.dev/). As described in the spec, Agent Trace is an open, vendor-neutral spec for recording AI contributions alongside human authorship in version-controlled codebases.
The 80% Problem in Agentic Coding
Managing comprehension debt when leaning on AI to code
</> htmx ~ Working With AI: A Concrete Example
In this essay, Carson Gross walks through a concrete bug fix in hyperscript to show where AI helped, where it fell short, and why keeping a knowledgeable human in the loop is what kept complexity in check.
On AI and building your own GIS software
Of the thousands of essays over the past two years surrounding AI and its implications are some very thought provoking ones with enormous implications for GIS. Some of the essays are around the the…
