Simon Willison says coding agents make software engineering harder
The takeaway cuts against the hype narrative: stronger models raise the skill floor for engineering judgement rather than removing the need for engineers. Developers should treat agents as tools requiring review discipline, not a replacement for software craft, and skeptics of 'everyone can code now' claims get a concrete counterpoint from two prominent practitioners. The exchange centres on Claude Opus 4.6 and GPT-5.2, the benchmarks many teams actually evaluate agents against.
Simon Willison argued on X that working with coding agents makes software engineering harder, not easier, because unlocking their potential demands extraordinary discipline and knowledge.
Gergely Orosz replied that Claude Opus 4.6 and GPT-5.
2, together with their harnesses, can write code nearly as well as he can in his best language and better in others.
Orosz added that non-developers pushing production code is unlikely for a long time, possibly forever.Both agree the profession still must build software robustly while absorbing the new challenges these tools create.
The more time I spend working with coding agents, the more convinced I am that they make software engineering even harder We can do amazing things with them, but unlocking their full potential requires extraordinary discipline and knowledge Gergely Orosz @GergelyOrosz Bury your head in the ground at your own risk. I aim to not jump on any hype trains, but since Opus 4.6 and GPT-5.2 + the harnesses it was clear that these things can write code nearly as good as I can in my best language; better in other languages. But we won't see non-devs push production code for a long time; possibly forever, if you ask me. Software still needs to be built in robust ways, and it's our profession to do this well, and use the new tools we have, which create new and interesting (+tough!) challenges 🔗 View Quoted Tweet📊 78 ⚡
This report is categorized under AITOP's "How-to" desk, focusing on US frontier AI labs and Silicon Valley technology leaders. Within our cross-regional analytical framework, it directly maps to AI developer toolchains, coding agents, and engineering workflows. Key entities and technical topics under continuous tracking include coding agents, Simon Willison, Gergely Orosz, Claude Opus 4.6.
Source attribution: curated from Simon Willison (@simonw).
