Your daily AI digest for developers — Friday, August 07 2026
Liquid AI has released an agentic model that operates entirely on-device, capable of planning, tool calling, and completing multi-step tasks. The model supports 131,072 tokens of context and decodes at 220 tokens/s.
Cloudflare's Kitesurf is a web browser designed for AI agents, running in V8 isolates without human-facing features like tabs. It prioritizes machine-readable content for agent interactions.
GitHub Copilot now supports slash commands to enhance planning, collaboration, and automation within the app. These commands streamline workflows and improve development efficiency.
This article provides a step-by-step guide to creating a data agent with a conversational interface, allowing business users to query data in natural language without SQL.
A study reveals that human oversight fails to catch a significant portion of dangerous requests made by AI coding agents, highlighting the need for improved monitoring systems.
This article details the debugging process for a Python-based tool-calling agent, focusing on real API calls, validation, and compact outputs before integrating an agent framework.
The kagent project suggests using Pods as workers rather than agents for AI deployments on Kubernetes, emphasizing bursty, short-lived tasks and subagent spawning.
This article discusses a pattern for AI workflows that balances production durability with fast evaluation iteration by persisting and distributing every step.
A critical Exchange server vulnerability is being actively exploited, allowing attackers to maintain persistent access to networks, highlighting the need for urgent patching.
This article explores the challenges of building an observability layer for AI agents, emphasizing the need for comprehensive instrumentation and monitoring.