{"version":1,"type":"rich","provider_name":"Libsyn","provider_url":"https:\/\/www.libsyn.com","height":90,"width":600,"title":"Prompt Requests","description":"One of the challenges of AI-assisted coding agents is that they tend to produce A LOT of code. Even in refactoring or migration changes, the AIs can work quickly and generate such a volume of code that the process starts to become overwhelming. For pull requests, for CI\/CD build systems, and certainly for human reviewers, they can be overwhelmed. This can become a real problem with OSS projects, where submissions can grow exponentially to the point that maintainers stop looking at pull requests. I suspect the same thing might happen in corporate repositories when lots of developers can refactor or submit huge amounts of code produced by AI agents in a fraction of the time it took a year ago. I was listening to an interview with an experienced software developer and OSS project maintainer who said that he preferred getting a &quot;prompt request&quot; that contained a description of a problem and the specification for a solution that he could submit to his own LLM to get the code. Rather than use an AI to review a code in a PR written by a human or AI agent, a great prompt that can communicates the problem and solution is preferred. Read the rest of Prompt Requests ","author_name":"Voice of the DBA","author_url":"http:\/\/www.voiceofthedba.com","html":"<iframe title=\"Libsyn Player\" style=\"border: none\" src=\"\/\/html5-player.libsyn.com\/embed\/episode\/id\/40612020\/height\/90\/theme\/custom\/thumbnail\/yes\/direction\/forward\/render-playlist\/no\/custom-color\/88AA3C\/\" height=\"90\" width=\"600\" scrolling=\"no\"  allowfullscreen webkitallowfullscreen mozallowfullscreen oallowfullscreen msallowfullscreen><\/iframe>","thumbnail_url":"https:\/\/assets.libsyn.com\/secure\/item\/40612020"}