AI tool comparison
Intent vs Make
Which one should you ship with? Here is the side-by-side panel verdict, pricing read, reviewer split, and community vote comparison.
Agent/Automation
Intent
Describe a feature. AI agents build, verify, and ship it.
75%
Panel ship
—
Community
Free
Entry
Intent is Augment Code's multi-agent software development workspace. You describe what you want built — a feature, a fix, a refactor — and a coordinated team of AI agents takes it from spec to shipping code. The system maintains living specifications that stay current throughout the development process, so requirements don't drift as agents work. Under the hood, Intent runs agents in isolated workspaces so different tasks can't interfere with each other. A coordinator agent manages task delegation, routing work to specialized agents for code generation, design review, mobile implementation, and other concerns. The spec panel tracks project requirements and progress in real time, giving you a single pane of glass over what agents are doing and what remains. Augment Code has been quietly building toward this for a while — their IDE Agents and CLI products form the underlying layer, with Intent sitting on top as the higher-level orchestration product. It's positioned squarely against Devin and SWE-agent-style autonomous coding, but with more emphasis on keeping humans in the loop through living specs rather than handing off completely.
Automation
Make
Visual automation platform — like Zapier but more powerful
100%
Panel ship
—
Community
Free
Entry
Make (formerly Integromat) is a visual automation platform with drag-and-drop workflow building. More powerful than Zapier for complex scenarios with branching, loops, and data transformation. 1,800+ app integrations.
Reviewer scorecard
“The living specs concept is the right idea — autonomous coding agents fail because requirements get lost mid-task. Keeping a maintained spec that agents reference throughout solves the context drift problem. Isolated workspaces mean you can run parallel feature development without race conditions. This is a serious tool for serious teams, not a toy.”
“More powerful than Zapier for complex workflows — branching, loops, error handling. The visual builder makes complex logic readable. Great for non-trivial automation.”
“Every multi-agent coding tool in 2026 promises to 'build, verify, and ship' features autonomously. Most of them generate plausible-looking code that compiles but doesn't actually work as intended. Augment Code has solid underlying models but 'coordinated agent teams' still means you're debugging AI-generated code at the seams between agents. Until I see real production deployments with zero-intervention feature shipping, this is glorified autocomplete with extra steps.”
“Steeper learning curve than Zapier but the ceiling is much higher. If your automation needs are simple, Zapier is easier. If they're complex, Make is better.”
“Intent represents the transition from AI-assisted coding to AI-directed development. The living spec paradigm is a genuine architectural insight — specs as shared context between agents and humans is how autonomous software teams will be organized. Augment's bet on coordination over raw capability is the right design philosophy as models plateau in coding benchmarks.”
“The spec panel that tracks requirements in real time is a design win — it makes AI development legible to product managers and designers, not just engineers. Seeing what agents are doing across isolated workspaces without reading logs is the kind of transparency that actually builds trust in AI tooling.”
“I use Make for my content pipeline — new blog post triggers social media scheduling, newsletter draft, and analytics tracking. Visual builder makes it manageable.”
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