#multi-agent-orchestration

#multi-agent-orchestration

Now available in technical preview on GitHub, the GitHub Copilot SDK lets developers embed the same engine that powers GitHub Copilot CLI into their own apps, making it easier to build agentic workflows. This makes it possible to integrate Copilot into any environment. You can build GUIs that use AI workflows, create personal tools that level up your productivity, or run custom internal agents in your enterprise workflows.

Anthropic has released version 2.1.0 of Claude Code. It is a substantial update to its development environment for vibe coding. With Claude Code, the company focuses on autonomous software development, controlling AI agents, and performing various computer tasks from the terminal. Boris Cherny, responsible for Claude Code, reports to VentureBeat that the new release includes more than a thousand separate changes.

One of the key components of Antigravity is how it reports on its own work. As it completes tasks, it will produce what Google calls Artifacts: task lists, plans, screenshots, and browser recordings that are intended to verify both the work it's done and what it will do. Antigravity will also report on its actions and external tool use along the way, but Google says that Artifacts are "easier for users to verify" than full lists of a models' actions and tool calls.

Pre-built tools, custom functions, OpenAPI specs, and integration across the Google ecosystem. Code-first development that allows developers to define agent logic, tools, and orchestration directly for flexibility, testability, and versioning. The ability to design scalable applications by composing multiple specialized agents into flexible hierarchies. A built-in development UI that lets users test, evaluate, debug, and showcase agents. Support for the Agent2Agent (A2A) protocol, which allows a primary agent to orchestrate and delegate tasks to specialized sub-agents.

Agent Mode enables users to create persistent agents that can operate in the background to manage ongoing tasks. Instead of responding only to immediate prompts, Copilot can now monitor, summarize, or take actions over time. For example, a user can instruct Copilot to track updates to a shared document, prepare a meeting recap, or notify a team when project milestones are reached.