Your daily AI digest for developers — Thursday, June 18 2026
GitHub has introduced the GitHub Copilot app, a desktop control centre for agent-native development that aims to keep engineers in charge while AI agents handle more coding work. This app facilitates parallel workflows by integrating AI agents into the development process.
Vercel has open-sourced Eve, an Apache-2.0 agent framework now in public preview. Eve allows developers to create agents as directories of files with built-in capabilities like execution, sandboxes, and evaluations.
This tutorial demonstrates how to use NVIDIA SkillSpector to evaluate AI skills for security risks before deployment. It involves building a corpus of skills and scanning them through SkillSpector's workflow.
OpenAI introduced Deployment Simulation, a method to replay past conversations through a new model before release, estimating deployment-time rates of undesired behavior.
GitHub Copilot is optimizing context handling and model routing to make sessions more efficient, ensuring that more of each session is dedicated to productive work.
Uber describes an internal architecture for propagating identity across multi-agent AI workflows, aiming to preserve user context, agent provenance, and security.
Aditya Kumarakrishnan shares a blueprint for building modular agent frameworks using CoALA, leveraging decades of AI research to outlast the hype cycle.
This guide explains how websites can become agent-ready by using llms.txt files, ensuring AI agents can effectively read and interact with web content.
OpenAI's LifeSciBench evaluates AI models on their ability to handle real life-science research tasks, providing a comprehensive benchmark for AI capabilities.
Paul Klein discusses the challenges of scaling cloud-hosted browser infrastructure for AI agents, focusing on managing bursty, stateful multi-tenancy and ensuring reliability.