Your daily AI digest for developers — Thursday, June 25 2026
Grab's security team developed Palana, a Kubernetes-native platform to run autonomous AI agents securely. This platform addresses the unpredictable nature of model-driven agents in tool-use and code-writing.
This tutorial walks through building an OpenHarness style agent system from scratch, focusing on tool use, permissions, and multi-agent coordination.
This article compares 16 generative AI coding tools, highlighting features and best use cases for each.
AI is being integrated into earlier stages of the software lifecycle, including PRD validation and design inputs, beyond just code generation.
This article provides a practical walkthrough of building a multi-agent pipeline using text-to-SQL as an example.
This tutorial demonstrates how to use Graphify and NetworkX to create a knowledge graph of a Python codebase, offering insights into code structure and architecture.
This article discusses the importance of power and coordination in AI technology, suggesting that these factors are more crucial than the models themselves.
This article reflects on the increasing presence of LLM-generated content in job applications and portfolios, highlighting the challenges and opportunities it presents.
This article shares the journey of building a 'Pinterest for the Physical World,' exploring the challenges and lessons learned in the process.
Top AI researchers are leaving Google for companies like Anthropic, highlighting a shift in the AI research landscape.