Army moves to assess AI’s ‘unpredictable behaviors’ and safeguard autonomous systems - DefenseScoop
<a href="https://news.google.com/rss/articles/CBMihAFBVV95cUxPYWdYcERzNE9aRmFTUDVRSXNLbnVZV3I2cHBTVmhjTzhGbG54bVpYLXlUaUZqZ3RfTTFMM21hcEVQTG5XQVlySmFabDlwd2V3NXotbnJydjBQTnNUcldZa0lhaGNFUzRNVWpjOU92d2Mtemo0eGUtdE1iT0VmTjdab0hJbmk?oc=5" target="_blank">Army moves to assess AI’s ‘unpredictable behaviors’ and safeguard autonomous systems</a> <font color="#6f6f6f">DefenseScoop</font>
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[D] Are there REAL success stories of autonomous AI dev agents working reliably in production?
I’m having a serious debate with a colleague, and I want to settle this with actual evidence instead of opinions. The claim: That it’s possible today to run orchestrated AI developer agents (multiple agents, coordinated workflows) that can autonomously build and maintain software — under supervision of a senior AI/dev — without running into unfixable errors or constant breakdowns. I’m skeptical. He believes it’s already happening. So I’m looking for real-world examples, not theory: - Have you actually used autonomous dev agents in production? - What was the setup? (tools, stack, orchestration method) - What level of autonomy are we talking about? - What still breaks? - Did it scale beyond small experiments or toy projects? Especially interested in: - Multi-agent setups (not just Copilot-st
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