Artificial Analysis just announced AgentPerf, the industry’s first agentic AI benchmark. The benchmark uses several real-world agentic use trajectories and employs OpenCode agentic harness using three top open-source models with reasoning enabled 1/4
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DeepSeek, GLM, Kimi solve real code issues with reasoning and tools
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(DeepSeek V3.2, GLM 4.7, and Kimi K2.5) prompted to resolve issues in real public code repositories. All trajectories include interleaved reasoning and tool calls. 2/4
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8 Steps to Deploy AI Agents by 2026
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The 8-step order I use for shipping AI agents in 2026: 1. Filter noisy tool outputs
2. Load tools only when needed
3. Clean cached history before reusing it
4. Compress long logs and terminal outputs
5. Store memory outside the context window
6. Compact manually around 40%
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Claude Code: no visibility into production issues
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You'll regret using Claude Code without this.
— Akshay 🚀 (@akshay_pachaar) 13 juin 2026
Claude Code stops at the boundary of your terminal.
It has no visibility into Datadog traces, Jira tickets, Slack decision history, or cloud infra state.
So when something breaks in production, Claude Code isn't there. When the… pic.twitter.com/igWgs8AhQlYou'll regret using Claude Code without this. Claude Code stops at the boundary of your terminal. It has no visibility into Datadog traces, Jira tickets, Slack decision history, or cloud infra state. So when something breaks in production, Claude Code isn't there. When the
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Multi-agent swarm builds complex apps and automations with one prompt
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🚨MULTI-AGENT SWARM – BUILD COMPLEX APPS AND AUTOMATIONS WITH ONE PROMPT
— Abacus.AI (@abacusai) 13 juin 2026
Combine Opus 4.8 xHigh and GPT 5.5 xHigh to create complex multi-agent systems
Each agent excels at a particular task – coding, testing, mobile app, research and monitoring
Master agent orchestrates… pic.twitter.com/WNG13l9OONMULTI-AGENT SWARM – BUILD COMPLEX APPS AND AUTOMATIONS WITH ONE PROMPT Combine Opus 4.8 xHigh and GPT 5.5 xHigh to create complex multi-agent systems Each agent excels at a particular task – coding, testing, mobile app, research and monitoring Master agent orchestrates
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Mastering AI Prompt Engineering: The Ultimate Guide for ChatGPT
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Mastering AI Prompt Engineering: The Ultimate Guide for ChatGPT! #BigData #Analytics #DataScience #AI #MachineLearning #NLProc #IoT #IIoT #PyTorch #Python #RStats #TensorFlow #Java #JavaScript #ReactJS #GoLang #CloudComputing #Serverless #DataScientist #Linux #Programming #Coding
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RAG with LLM: Creating an AI-Powered File Reader
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RAG with LLM: Creating an AI-Powered File Reader! #BigData #Analytics #DataScience #AI #MachineLearning #NLProc #IoT #IIoT #PyTorch #Python #RStats #TensorFlow #Java #JavaScript #ReactJS #GoLang #CloudComputing #Serverless #DataScientist #Linux #Programming #Coding
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Gigatron for Linear Algebra in Machine Learning
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Gigatron for Linear Algebra in Machine Learning! @gp_pulipaka
! #BigData #Analytics #DataScience #AI #MachineLearning #IoT #IIoT #PyTorch #Python #RStats #TensorFlow #Java #JavaScript #ReactJS #GoLang #CloudComputing #Serverless #DataScientist #Linux #Mathematics #Programming -
Great Learning! History of Machine Learning
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Great Learning! History of Machine Learning. #BigData #Analytics #DataScience #AI #MachineLearning #IoT #IIoT #Python #RStats #TensorFlow #Java #JavaScript #ReactJS #CloudComputing #Serverless #DataScientist #Linux #Programming #Coding #100DaysofCode https://
geni.us/History-of-ML -
Anthropic’s Complete Guide to Claude Skills Building
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Anthropic’s Complete Guide to Claude Skills Building! @kdnuggets #BigData #Analytics #DataScience #AI #MachineLearning #NLProc #LLM #IoT #IIoT #PyTorch #Python #RStats #TensorFlow #Java #JavaScript #ReactJS #GoLang #CloudComputing #Serverless #DataScientist #Linux #Programming