https://left4more.com/tags/software-engineering/Recent content in Software-Engineering on Left 4 MoreHugoen-auTue, 16 Jun 2026 02:06:19 +1000https://left4more.com/posts/the-job-is-still-here-im-just-not-sure-i-recognise/Tue, 16 Jun 2026 02:06:19 +1000https://left4more.com/posts/the-job-is-still-here-im-just-not-sure-i-recognise/<p>Someone posted on Reddit this week asking whether they were going to spend the rest of their career reviewing AI-generated code. They mentioned that colleagues were boasting about not having written a single line of code in months. That markdown lists of ideas were showing up in meetings, obviously AI-generated, presented as thinking. That the expectation had quietly shifted: a good engineer now &ldquo;supervises AI&rdquo; and &ldquo;focuses on the bigger picture.&rdquo;</p>https://left4more.com/posts/ai-benchmarks-are-lying-to-you-but-not-in-the-way/Thu, 14 May 2026 01:36:50 +1000https://left4more.com/posts/ai-benchmarks-are-lying-to-you-but-not-in-the-way/<p>There&rsquo;s a post doing the rounds this week about GPT-5.5 cracking something called ProgramBench for the first time. It&rsquo;s a software engineering benchmark that&rsquo;s been resistant to frontier models until now, and the result is genuinely interesting. But the discussion underneath it is, predictably, a mess.</p> <p>Some of it is the usual stuff: people declaring their preferred model the winner, others pointing out the charts are misleading, a few genuinely useful technical observations buried under the noise. Normal internet discourse. What caught my attention wasn&rsquo;t the headline result though. It was a quieter observation someone made about the benchmark itself.</p>