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The author says REA: Reverse Engineer Anything is the hottest open-source project recently on GitHub and X. Supabase CEO kiwicopple also joined the meme, saying he ran 12 Claude agents in parallel for 6 hours to "reverse engineer" Supabase; the author jokes that Supabase was open-source to begin with.
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Salesforce has agreed to acquire customer engagement platform Braze for approximately $5.66 billion. Braze Class A shareholders will receive $47.50 per share in cash, and the deal is expected to close in Salesforce's FY28. Braze's real-time messaging and customer journey management capabilities will be integrated into Salesforce Marketing Cloud, combining with its CRM, Data 360, and Agentforce platforms. Braze currently serves about 2,770 customers, including Canva, Instacart, Urban Outfitters, and Venmo.
has agreed to acquire customer engagement platform Braze for approximately $5.66 billion. Braze Class A shareholders will receive $47.50 per share in cash, and the deal is expected to close in Salesforce's FY28. Braze's real-time messaging and customer journey management capabilities will be integrated into Salesforce Marketing Cloud, combining with its CRM, Data 360, and Agentforce platforms. Braze currently serves about 2,770 customers, including Canva, Instacart, Urban Outfitters, and Venmo.
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Databricks has released MemCurrent, a persistent memory architecture for production Agents, combining episodic memory with derived memory and adopting three integration approaches: Plugin, Tool, and offline dreaming. Based on 114 internal test cases selected from more than 12,000 real Genie sessions, the pass rate rose from 22.3% without memory to 68.4%, while also being 1.35 times faster and 1.44 times cheaper. On the public benchmarks LoCoMo, LongMemEval, and ConvoMem, the average score was 88.1%, comparable to 87.8% with full context, but with about 12 times fewer input tokens per question (8.4K vs. 103K). The architecture has already been used in Agent Bricks Memory and Genie.
Databricks has released MemCurrent, a persistent memory architecture for production Agents, combining episodic memory with derived memory and adopting three integration approaches: Plugin, Tool, and offline dreaming. Based on 114 internal test cases selected from more than 12,000 real Genie sessions, the pass rate rose from 22.3% without memory to 68.4%, while also being 1.35 times faster and 1.44 times cheaper. On the public benchmarks LoCoMo, LongMemEval, and ConvoMem, the average score was 88
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A Mac user was using Claude to develop a temperature monitoring tool when Claude discovered the device was running an XMRig mining program, with the process consuming about 1175% CPU (roughly 12 cores) and temperatures reaching 112 degrees Celsius. Claude also identified that the program achieved persistence through a disguised LaunchAgent startup item, and after obtaining the user's authorization, helped terminate the process and move suspicious files into a quarantine directory; only one file required manual deletion due to permission restrictions.
itoring tool when Claude discovered the device was running an XMRig mining program, with the process consuming about 1175% CPU (roughly 12 cores) and temperatures reaching 112 degrees Celsius. Claude also identified that the program achieved persistence through a disguised LaunchAgent startup item, and after obtaining the user's authorization, helped terminate the process and move suspicious files into a quarantine directory; only one file required manual deletion due to permission restrictions.
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OpenRouter said that since early February 2026, agentic usage has grown 34-fold; on a weekly basis, agent usage is currently about 8 times that of human usage.
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Arena announced that DeepSeek-V4.1-Flash-20261017 (Max) has entered the Arena, ranking first among open-source models in both the Agent Arena and Code Arena: WebDev leaderboards. Arena also mentioned that the 3D world generated by this model, as well as more detailed ranking information, can be viewed in the related post.
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Octave built a three-tier multi-tenant AI foundation on Amazon Bedrock for the quality management platform Reliance, cutting deployment time per use case by 50%. The foundation uses Cohere Embed v4 to embed 2 billion documents, executes Anthropic Claude models through AgentCore Gateway and isolated microVMs, and Guardrails filters content on both the input and output sides. Reliance serves more than 650 enterprise customers across 180 countries.

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Simon Willison released Battle Drones, a real-time strategy game developed entirely through vibe coding with Claude Code. It went through 12 major versions and 321 commits and runs in mobile and desktop browsers. The game includes 9 building types, 7 ground vehicles, 6 air vehicles and 3 infantry units, and supports fog of war, random map generation, AI versus AI, and an Agent battle mode in which two LLMs fight each other. He also implemented a multiplayer method in which two devices synchronize game state via microphone audio, and because the audio caused headaches, he added online multiplayer based on a WebSockets relay server.
12 major versions and 321 commits and runs in mobile and desktop browsers. The game includes 9 building types, 7 ground vehicles, 6 air vehicles and 3 infantry units, and supports fog of war, random map generation, AI versus AI, and an Agent battle mode in which two LLMs fight each other. He also implemented a multiplayer method in which two devices synchronize game state via microphone audio, and because the audio caused headaches, he added online multiplayer based on a WebSockets relay server.
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MiniMax officially released M3.1 Flash, formerly known as Space Bunny (Yutu), which previously topped the charts anonymously on OpenRouter. The model scores 29.6% on Agents' Last Exam, ranking first among domestic models, and scores 43 on the AA leaderboard; it achieves 73.7% on DeepSWE v1.1, 82.2 points on CyberGym, 76.2 points on BankerToolBench, tying for first with Claude Opus 5, and 61.7 points on OSWorld V2. The model adopts a sparse attention architecture, with output speeds of up to 200+ TPS and a median of 170+ TPS, input at 1 yuan per million tokens, output at 4 yuan, and cache reads at 0.1 yuan, with comprehensive usage costs reduced by 70% compared to the previous generation M3.
MiniMax officially released M3.1 Flash, formerly known as Space Bunny (Yutu), which previously topped the charts anonymously on OpenRouter. The model scores 29.6% on Agents' Last Exam, ranking first among domestic models, and scores 43 on the AA leaderboard; it achieves 73.7% on DeepSWE v1.1, 82.2 points on CyberGym, 76.2 points on BankerToolBench, tying for first with Claude Opus 5, and 61.7 points on OSWorld V2. The model adopts a sparse attention architecture, with output speeds of up to 200+
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