🕵️ AI Agents

Autonomous Systems, Agent Frameworks, Task Automation, AI Orchestration

Show HN: Spine AI – Visual workspace to think across multiple AI models
app.getspine.ai·1d·
Discuss: Hacker News
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Cognitive Biases and A.I. – shows worse biases than human practitioners
ai.nejm.org·5h·
Discuss: Hacker News
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Understanding Claude Code's Full Stack: MCP, Skills, Subagents, and Hooks Explained | alexop.dev
alexop.dev·1d·
Discuss: r/ClaudeAI
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From Product Manager to AI Builder: What It Takes to Go from Prompt to Production
dev.to·3h·
Discuss: DEV
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Resilient AI: Making Imperfect Hardware Smarter
dev.to·17h·
Discuss: DEV
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How reliable are AI agents?
dev.to·4d·
Discuss: DEV
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Building NetGenius Instructor Copilot: A Multi-Agent AI System on Google Cloud Run
dev.to·5h·
Discuss: DEV
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After a year building an open-source AI framework, I’m starting to wonder what actually gets attention
reddit.com·13h·
Discuss: r/LocalLLaMA
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Comparing C# AI Libraries: Which One Boosts Dev Productivity Most?
dev.to·2d·
Discuss: DEV
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...Rewritten the American Daily Routine।।Artificial Intelligence trends USA
kesarbhawanihub.blogspot.com·1d
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People Perceive More Phantom Costs From Autonomous Agents When They Make Unreasonably Generous Offers
arxiv.org·1h
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Agentic AI: How Intelligence Learns to Work, Decide, and Evolve on Its Own
pub.towardsai.net·2d
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An End-to-End Deep Reinforcement Learning Approach for Solving the Traveling Salesman Problem with Drones
arxiv.org·1d
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A^2FM: An Adaptive Agent Foundation Model for Tool-Aware Hybrid Reasoning
paperium.net·2d·
Discuss: DEV
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Agentic Reinforcement Learning for Search is Unsafe
paperium.net·9h·
Discuss: DEV
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Context rot: the emerging challenge that could hold back LLM progress
understandingai.org·13h
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AI in DevOps and DevSecOps: Building Intelligent, Secure, and Reliable Software Systems
dev.to·18h·
Discuss: DEV
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Beyond the Basics: 5 Advanced Prompting Strategies that Turn LLMs into Autonomous Agents (Prompt Engineering for Devs - Part 3)
dev.to·16h·
Discuss: DEV
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AI Autopilot for AI: Dynamically Scaling Neural Nets on Edge Devices
dev.to·3d·
Discuss: DEV
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Learning to Focus: Prioritizing Informative Histories with Structured Attention Mechanisms in Partially Observable Reinforcement Learning
arxiv.org·1h
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