AI News
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Today's AI news from trusted publishers and official AI lab blogs, refreshed about every 30 minutes.
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- Tactics for rolling out software factories: human and organizational changesWarp · toolsHow to roll out software factories across an engineering org: start with chore automations, meet engineers in their tools, and track factory adoption.
- The road to self-improving softwareWarp · toolsLet agents decide what to build next: self-improving software factories that proactively fix bugs, refine their own skills, and mine user feedback for roadmap work.
- Warp Factories now works across Microsoft Teams and Azure DevOpsWarp · toolsWarp Factories now integrates natively with Microsoft Teams and Azure DevOps. Delegate work to your agent software factory from Teams threads, Azure DevOps work items, and pull requests.
- Build the factory. Let it run. Go kayaking.Warp · toolsDuring Warp team's Savannah off-site, we focused on making Warp Factories reliable, fast, and cost-effective. Then, we let the agents run while we went kayaking.
- Terraform for agents: how we define our software factory in codeWarp · toolsWe define every agent in our software factory as code: orchestration, secrets, MCP servers, automations, runners, scorers, and benchmarks. Here’s a walkthrough of each part of the factory config.
- Sign in to Warp with ChatGPTWarp · toolsUse your ChatGPT subscription for AI requests in Warp Terminal and Warp Agent CLI.
- Adapting for a world of software factoriesWarp · toolsSoftware factories change what engineers do. At Warp, engineers now have two jobs: building the product, and building the factory that builds the product.
- Using LLM-as-a-judge scoring to measure your software factoryWarp · toolsIf you want to get the most out of coding agents in your organization, you need to stop guessing how well your agents are performing and start measuring.
- Adopting the software factory model: crawl, walk, runWarp · toolsA crawl, walk, run path for adopting the software factory model: start with point automations, stand up an end-to-end cloud development loop, then scale to a closed-loop factory stack.
- The Factory StackWarp · toolsSoftware factories should be built on an infrastructure stack that is open, composable and defined in code.
- Introducing Factory BenchmarksWarp · toolsToday we are launching Benchmarks in Warp Factories early access: agent benchmarks on your own code that drive direct improvements in software factory performance. Rather than guessing at what model and skill configurations are best, you can now easily test, measure, and put your findings into practice.
- WarpBench: How we reduced our cost-per-PR 75%Warp · toolsWith Warp Factories Benchmarking, it’s now possible to build custom coding agent benchmarks on your team’s real data and workflows with a few clicks.
- Closing the loop with self-improving cloud software factoriesWarp · toolsIt's time to apply a true engineering mindset to deploying coding agents. Set up a closed-loop system in the cloud where every agent is tracked and measured against your own data and workflows, so you can tune your setup on real data instead of vibes.
- The missing feedback loop for software factoriesWarp · toolsWarp Factories make it easy to automate your SDLC with coding agents. The harder challenge is building a factory that learns from feedback and improves with your team.
- Introducing Warp Factories - open, flexible infrastructure for building your software factoryWarp · toolsWarp Factories provide flexible, open infrastructure to accelerate companies building internal cloud software factories.
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