9 coding & dev tools tools that overlap with google.github.io/adk-docs/a2a/ on coding, developer, agent, ordered by how closely they match. Compare pricing, platforms, and API access, then jump into a side-by-side.
Compared against
Google's Agent-to-Agent protocol for interoperable AI agent networks
Anthropic's agentic AI coding tool that lives in your terminal
Claude Code is an official agentic CLI tool by Anthropic that brings Claude directly into the developer's terminal and editor. It can read, write, and refactor files across a codebase, run shell commands, and execute multi-step coding tasks autonomously. Built for developers who want a powerful, safe AI coding agent without leaving their existing workflow.
AI-first code editor built on VS Code with deep model integration
Cursor is a fork of VS Code that embeds powerful AI features including multi-file editing, codebase-wide chat, and an AI agent that can autonomously complete tasks. It supports GPT-4 and Claude models, autocomplete, and inline diff review. Popular among professional developers who want AI assistance tightly integrated into a familiar editor.
Terminal-based AI coding agent powered by any LLM provider
OpenCode is an open-source terminal AI coding assistant that supports multiple LLM backends including OpenAI, Anthropic, and local models. It provides an interactive TUI interface for chatting about code, running edits, and executing terminal commands within a project context. Suited for developers who want a lightweight, provider-agnostic agentic coding CLI.
Agentic AI platform that plans and executes complex tasks reliably
Portia AI is an agentic workflow platform that helps developers build reliable AI agents capable of multi-step task planning and execution. It provides tools for agent memory, tool use, and clarification handling so agents can complete complex real-world tasks autonomously. Designed for teams building production-grade AI pipelines.
Agentic AI IDE that codes alongside you in real time
Windsurf (by Codeium) is an AI-native IDE built around an agentic assistant called Cascade that can plan, write, and execute multi-step coding tasks. It features deep codebase awareness, in-editor chat, and autonomous file editing. Designed for professional developers who want an AI partner that acts, not just suggests.
Practical guide to designing and coding autonomous AI agents
This Manning Publications book provides a step-by-step approach to building autonomous AI agents that can plan, use tools, browse the web, and execute multi-step tasks. It covers agentic frameworks, memory systems, tool calling, and evaluation strategies with hands-on Python implementations. The book is aimed at developers and AI engineers who want to move from passive LLM usage to building production-ready agentic systems.
The first fully autonomous AI software engineer for real tasks
Devin by Cognition AI is an autonomous AI software engineer that can plan, code, debug, and deploy full projects end-to-end inside its own sandboxed environment with a browser, terminal, and editor. It tackles multi-step engineering tasks from a single natural language specification. Designed for engineering teams who want to delegate entire coding tasks to an AI agent.
Google's open-source AI agent for coding tasks in the terminal
Gemini CLI is an open-source command-line AI agent by Google that uses Gemini models to assist with coding, file editing, and agentic tasks directly in the terminal. It connects to Google Search for grounding and supports tool use for real-world actions. Aimed at developers who want a capable, free, open-source terminal AI assistant.
Nous Research's open-weight agentic model for tool-use tasks
Hermes Agent is an agentic AI system by Nous Research built on their Hermes series of open-weight models, optimized for function calling, tool use, and structured outputs. It is designed to handle complex multi-step tasks with reliable JSON output and API interaction. Suited for researchers and developers who want a capable, open-weight model for agentic pipelines.
