# deep-blue 12 Published articles for deep-blue 12. This is one page of public article previews, not the complete archive. Follow Next page to continue. Summaries are not the original full articles. ## Quoting Laurie Voss DevFeed: [Quoting Laurie Voss]() Original publisher: [Read original article]() Author: Simon Willison Published: 2026-09-14T14:34:29Z Content type: opinion Language: en Sources: [Simon Willison's Weblog]() Topics: [Code](), [Software]() Tags: [agentic](), [agentic-engineering](), [agentic-engineering-63](), [ai](), [ai-2-236](), [careers](), [careers-83](), [deep](), [deep-blue](), [deep-blue-12](), [generative](), [generative-ai](), [generative-ai-1-982](), [laurie-voss](), [laurie-voss-6](), [llms](), [llms-1-948]() ### AI overview A quotation from Laurie Voss argues that the cost of writing code has collapsed and that reviewing, fixing, and operating software may follow. It suggests that identifying user needs, defining them precisely, and making software pleasant to use could become the dominant remaining work as software production expands. ### Source excerpt The cost of writing code collapsed, and the cost of reviewing, fixing and operating it is following, and I'm assuming it gets there. What's left of making software is finding out what people actually want, defining it precisely, and making it pleasant to use. That cost is per piece of software and doesn't transfer, so as the amount of software goes to infinity, which it will because there's no ceiling on demand, that cost becomes the whole job. -- Laurie Voss, We are all Product Engineers now Tags: laurie-voss, generative-ai, agentic-engineering, ai, llms, deep-blue, careers ## Paul Ford on AI, software development, and the limits of making coding widely accessible DevFeed: [Paul Ford on AI, software development, and the limits of making coding widely accessible]() Original publisher: [Read original article]() Author: Simon Willison Published: 2026-09-12T18:00:21Z Content type: opinion Language: en Sources: [Simon Willison's Weblog]() Topics: [Artificial Intelligence](), [Generative AI]() Tags: [ai](), [ai-2-236](), [deep](), [deep-blue](), [deep-blue-12](), [generative-ai](), [generative-ai-1-982](), [llms](), [llms-1-948](), [paul-ford](), [paul-ford-17]() ### AI overview Paul Ford argues that AI can produce very good software while also making it easier for people to do other jobs poorly. He suggests that developing truly cutting-edge software still depends on humans collaborating and practicing their respective crafts. ### Source excerpt For a while, I must admit, it looked as if software developer roles like mine were done for. How could we fight against tireless robots? But our industry is slowly realizing that making truly cutting-edge software still requires humans to think and work together, to maximize their skill sets and to practice their respective crafts. A.I. can write very good software, but it also makes it easy to do someone else's job badly, which is part of why all those projects fail. Now that everyone can code, it's become clearer why many shouldn't. -- Paul Ford, A.I. Was Supposed to Give Us New Killer Apps. What Happened? Tags: paul-ford, generative-ai, deep-blue, ai, llms ## Software Engineers Adapting to AI Coding Agents DevFeed: [Software Engineers Adapting to AI Coding Agents]() Original publisher: [Read original article]() Author: Simon Willison Published: 2026-09-11T17:28:37Z Content type: opinion Language: en Sources: [Simon Willison's Weblog]() Topics: [Artificial Intelligence](), [Software Engineering]() Tags: [ai](), [ai-2-236](), [deep-blue](), [deep-blue-12](), [generative-ai](), [generative-ai-1-982](), [llms](), [llms-1-948]() ### AI overview An opinion piece arguing that software engineers can adapt to AI coding agents by applying their experience to broader problems beyond translating a specification into code. ### Source excerpt My comment on Feeling sad about AI -- Hacker News. I'm not sure how useful it is to say this, but I think a lot of people (myself included, a few years ago now) have been through this moment of existential crisis and come out the other side. The initial reaction, when some coding agent does a piece of work that would have taken you a week in an hour and does it well, is to be very disheartened by it. Once you come to terms with the idea that translating an exact specification into decent code isn't a unique skill any more, you can start looking at the larger set of problems that you face as a software engineer and realize that there is so much left, and your existing skill and experience mean you can master these new tools, provide value, and execute at a level far greater than anyone who is just getting started building software using agents without any of your depth. If you don't want your profession to change at all then you're going to have a tough time with this - but that's surely been true for the history of software engineering? Has there ever been any stability to the tools and language we use beyond about a five year time horizon? These changes are happening a bit faster, but if you chose software development as a passion you've opted into pretty frequent radical change from the start. Tags: ai, generative-ai, llms, deep-blue