<!-- SC_OFF --><div class="md"><p>The productivity metrics on AI coding tools focus almost entirely on acceptance rate and time saved. The metric nobody is tracking is technical
<!-- SC_OFF --><div class="md"><p><strong>quick context:</strong> we're a small AI creative agency, 9 people, based in Pune. we work with brands on commercial visuals product
<!-- SC_OFF --><div class="md"><p>Cursor dropped their new product yesterday and its not a code editor anymore. its an agent orchestration console that happens to have an editor
<!-- SC_OFF --><div class="md"><p>I want to believe in agents, but I am stuck in this gap between a cool concept and daily reality. On social media it is always these perfect
<!-- SC_OFF --><div class="md"><p>mira murati was openai’s cto she shipped chatgpt, dall-e, codex, and sora.</p> <p>Inseptember 2024 she walked out with 30 of openai’s best people
<!-- SC_OFF --><div class="md"><p>I’ve been experimenting with building agents across Claude Code, Gemini CLI, and Codex, and kept running into the same issue. Everything feels
<p>Are AI tools actually making us dumber developers?</p> <p>It's a question that's been nagging at me lately. As a freelance web developer, I've seen firsthand how quickly AI can
<p>I just found this:</p> <p>👉 <a href="https://github.com/golutra/golutra" rel="noopener noreferrer">https://github.com/golutra/golutra</a><br /> <a
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