Intent

Intent's pitch is that more agents should mean more shipped, not more chaos — and the design backs it. Workspaces are task-scoped, not chat-scoped, and each one wraps a git branch with its own worktree, agents, notes, and file tracking. That single decision removes the most common multi-agent failure mode, where two agents edit the same file and you spend the afternoon untangling diffs. The spec layer is the second pillar: a living document that captures assumptions, requirements, and design decisions and keeps updating as work evolves. Because every agent in the workspace reads the same spec, agents drift less and you get a record of why decisions were made, not just what changed. Specialists make the orchestration concrete. Agents come pre-configured for roles like coordinator, implementer, verifier, UI designer, and PR reviewer, and you can write your own to encode team conventions or review standards. Because any role can be delegated to, one workflow can span planning, building, and review. Verifiers are first-class, which matters more than it sounds — automated verification, screenshot evidence embedded in the spec, and autonomous browser click-throughs are what make 'the agent says it's done' checkable. Provider flexibility is the pragmatic strength: Augment Auggie, Anthropic Claude Code, Grok Build, OpenAI Codex, OpenCode, Pi, and Unsloth are all supported, and roles are swappable per workspace, so you can coordinate with one model and verify with another. Multi-device support lets you run remote machines and move workspaces between local and remote devices, so long test runs can be offloaded and picked back up locally. Diagramming is unusually well considered for a dev tool: live-rendering Mermaid blocks plus native interactive diagrams whose nodes link to files, symbols, and tests. On the other side of the ledger, Intent is an operating layer, not an autocomplete tool, and it depends entirely on external agent providers for the actual intelligence — you install and log in to at least one, and you pay that provider on its own terms. It targets engineers comfortable with git worktrees, setup scripts, and terminal-driven bootstrapping; the docs explicitly advise investing in setup scripts early. Windows and Linux builds are labelled alpha, so macOS is the safe platform today. And if your work is small edits and inline completion, a conventional single-assistant IDE will be less overhead than a workspace-and-spec discipline you don't need.