Spotify wants to become the home for AI-generated personal audio
Users will be able to create a podcast from Codex or Claude Code and import it to Spotify
InfoWorld AI·
Writing code has always been the most time- and resource-intensive task in software development. AI is changing that, and faster than most engineering organizations are prepared for. Tools like Claude Code and Cursor are already handling significant parts of code construction, freeing developers to spend more time on requirements, architecture, and design. But that shift creates a new challenge nobody is talking about enough. As AI takes on the heavy lifting, the skills that matter most are moving upstream: how to provide the right context for a prompt, how to evaluate what the model produces, and how to understand a problem deeply enough that you can’t be fooled by a confident but wrong answer. This piece explores those three skills and why developers who master them will have a significant edge over those who don’t. Beyond coding: Mastering the art of the prompt Software translation tools such as compilers and assemblers map a high-level description of code to a lower-level represent
Read full articleUsers will be able to create a podcast from Codex or Claude Code and import it to Spotify
Also, rate limits will double for Pro and Max users of tools like Claude Code.
Learn how to connect Claude Code to Discord locally, pair your account, control access, and keep the bot running reliably.
In “Don’t Automate Your Moat,” I argue that engineering organizations should match AI autonomy to two independent dimensions: business risk and competitive differentiation. I used AI Gateway cost controls as a worked example throughout the piece because a single feature touches all four quadrants depending on which piece you’re building. A piece making that argument […]
In “Don’t Automate Your Moat,” I argue that engineering organizations should match AI autonomy to two independent dimensions: business risk and competitive differentiation. I used AI Gateway cost controls as a worked example throughout the piece because a single feature touches all four quadrants depending on which piece you’re building. A piece making that argument […]
I’m not even remotely worried about AI eliminating software development jobs. In fact, I’m pretty sure there will soon be a boom in both software development jobs and the amount of software available to everyone. People have always worried about automation causing massive unemployment. Each time a breakthrough happens, folks are sure that “it will be different this time.” Only it never is different. But the worriers persist. It’s paradoxical You can tell them all about the Jevons paradox — the observation that as something becomes more efficient, demand for that more efficient thing increases rather than decreases. In the mid-19th century, William Jevons noticed that the use of coal became more efficient. Humans figured out how to get more heat and energy out of less and less coal. The common belief was that, because less coal was needed for the same amount of energy or heat, there would be less demand for coal as a result. Everyone was concerned that coal miners would lose their jo
Improve Claude Code performance by having it validate its own work The post How to Make Claude Code Validate its own Work appeared first on Towards Data Science.
Turn Claude Code into your AI coding partner with these 5 hands-on projects, from beginner-friendly builds to advanced agent workflows.