Your daily AI digest for developers — Thursday, March 26 2026
The author shares their experience of building an AI agent marketplace using vibe coding techniques over a week, highlighting challenges and insights gained.
The article discusses the shift from AI assistance to execution, where digital agents not only suggest options but autonomously execute tasks based on user preferences.
This article explores setting up human-in-the-loop (HITL) workflows in agentic systems, ensuring human oversight and intervention in autonomous processes.
The article provides techniques for enabling Claude Code to learn from its errors, enhancing its coding capabilities through continual learning.
The article highlights a proof-of-concept attack where AI agents are misled by poisoned documentation, posing a significant supply chain risk.
A study reveals that OpenClaw agents can be manipulated into disabling their functionality through human interaction, highlighting vulnerabilities in agentic systems.
This podcast explores the operating models for autonomous agents, focusing on how they plan, act, and make decisions independently.
NVIDIA's PivotRL framework enhances agentic accuracy in long-horizon tasks by reducing computational overhead, offering a more efficient approach to AI-driven processes.
GitHub announces changes to its data usage policy for Copilot, allowing user interaction data to train AI models unless users opt out.
Oracle is integrating AI agents into its cloud applications, enabling autonomous decision-making, but raises questions about liability and accountability.