Pokee does. I am paying about $300 a day to build my site
SOFTWARE
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README-Driven Development with Claude Code for Tool Building
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I built this one using README-driven-development: I hand crafted a detailed README describing exactly how the tool should work… then dumped that into Claude Code and told it to build it gisthost.github.io/?d4b1a398…
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SWE-MiniSandbox: Container-Free RL for Software Engineering Agents
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What if you could train AI software engineers faster, without the heavy overhead of containers? Researchers from Peking University, Ant Groupe, and The University of Hong Kong present SWE-MiniSandbox. This novel, container-free method uses kernel-level isolation and lightweight pre-caching, eliminating bulky container images for reinforcement learning. It achieves comparable performance to container-based pipelines while reducing disk usage by 95% and environment setup time by 75%, making scalable RL training far more accessible for software engineering agents. SWE-MiniSandbox: Container-Free Reinforcement Learning for Building Software Engineering Agents Paper: arxiv.org/abs/2602.11210 Code: github.com/lblankl/SWE-MiniS… Docs: lblankl.github.io/SWE-MiniSa… Our report: mp.weixin.qq.com/s/NlQLprZmM… 📬 #PapersAccepted by Jiqizhixin
→ View original post on X — @jiqizhixin, 2026-04-05 04:00 UTC
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Microsoft’s Copilot Proliferation: 78 Products and Counting
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Microsoft has become Megabloat. Bearly AI (@bearlyai) Tey Bannerman counted up all the products and tools that Microsoft has named “Copilot”. Found 78 of them: “there are now Copilots inside Copilots, Copilots for other Copilots, and a physical Copilot key on your keyboard for summoning them.” — https://nitter.net/bearlyai/status/2040548562053050749#m
→ View original post on X — @pmddomingos, 2026-04-05 02:39 UTC
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Liberate OpenClaw with Open and Local Models from Hugging Face
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Liberate your @openclaw with an open model or local model with these tools from our friend @ClementDelangue and team at @huggingface 🦞 huggingface.co/blog/liberate…
→ View original post on X — @ceobillionaire, 2026-04-05 01:08 UTC
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Token Counting API Support Across Bedrock Vertex Azure Anthropic
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yep we do this for Bedrock, Vertex, and Azure, since they don’t have a token-counting API available yet. When using Anthropic API we use the token-counting endpoint directly
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Automate Your Work with Claude Cowork
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la vida cuando automatizas tu trabajo con Claude Cowork https://t.co/PLHB1L2aVU pic.twitter.com/T8SJfuOGIE
— SONIA (@S0N_IA_) 4 avril 2026Life when you automate your tasks using Claude Cowork
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Microsoft 365 Connectors Limited: Read-Only Access Insufficient for Task Automation
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My hot take is that this is only a 15% productivity gain for M365 users. M365 read connectors are a great start. As is Claude computer use for windows. But computer use is too slow (on purpose) for actual inbox triage. And this connector only really has Read access. So yes it can access and search and read and gather and synthesize and analyze…but that’s not TASK completion in these tools. That doesnt let me delegate any email management to my AI system. Give me the power to manage, edit, write, draft, send, and then we can talk. MSFT is clearly dipping its toes in the Anthropic waters more. Here’s to hoping they crack enterprise-secure actions beyond search, find, and read. Claude (@claudeai) Microsoft 365 connectors are now available on every Claude plan. Connect Outlook, OneDrive, and SharePoint to bring your email, docs, and files into the conversation. Get started here: claude.ai/customize/connecto… — https://nitter.net/claudeai/status/2040086268562842097#m
→ View original post on X — @alliekmiller, 2026-04-04 23:06 UTC
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SDK Usage Debate: CLI Mode and Performance Comparison
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The verdict on SDK use is still out. I'm not seeing a clear allowed/not allowed here. We have a mode that uses the cli, which is allowed. Just… pi is faster than the other stuff out there.
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Balancing AI Model Accuracy with Minimal Energy Footprint
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High-level monitoring without battery drain addresses a key pain point. Hey, community, how do you balance the model's accuracy with keeping that footprint truly tiny?