AutoDev

Rovo Dev is Atlassian's AI coding agent for software teams. It plans, generates, and reviews code through a terminal, IDE, Bitbucket, and GitHub, using context from Jira items, Confluence, connected code, documents, and organizational decisions in a sandboxed container. It supports planning and autonomous development, code search, context verification, model and agent selection, deterministic checks, AI review, human review, pull-request interaction within Jira, breaking epics into smaller issues, selecting suitable backlog work, managing review capacity, and clarifying underspecified requirements. Its standards workflow turns engineering standards written in Markdown, such as design-token rules, into reusable code-review rules for selected repositories or repository patterns, enforcing them by posting comments on pull requests.

DevAssure is an AI-powered software testing platform whose O2 agent reads code changes, maps potentially affected application flows, and validates them automatically, including through browser interactions based on plain-English expected behavior. It generates scriptless, self-healing acceptance tests and reports results for pull requests.

AutoGen is an open-source framework from Microsoft for building and orchestrating agent-based workflows that use large language models. It provides components for defining agents, managing conversations and interactions, and integrating models and external tools.

ChatDev is an open-source multi-agent framework from OpenBMB. Its original ChatDev 1.0 design models a virtual software company in which role-based agents such as a CEO, CTO, and programmer collaborate through specialized functional seminars to carry out software development tasks including design, coding, testing, and documentation. The current ChatDev 2.0, called DevAll, is a zero-code multi-agent orchestration platform. Users configure agents, workflows, and tasks to build and run customized multi-agent systems for scenarios such as software development, data visualization, 3D generation, and deep research.

Autoprompt is a coding-agent skill and CLI that turns a development goal into a managed loop of scoping, implementation, testing, review, repair, and verification. It coordinates coding agents with configurable concurrency and model routing, and supports installation into several coding-agent environments, including Claude Code, Codex, OpenCode, Kilo Code, and VS Code. The repository reports an OpenCode comparison in which Autoprompt reduced failures from 29 of 89 tasks to 16, or 45% fewer failures, with an expected trade-off of roughly three times the execution time and twice the token use. It requires Node.js 20+, Python 3.11+ with PyYAML, and Bash 4.3+ on macOS or Linux.