Plain rewires Django for agents

This is a pragmatic bet: instead of making agents smarter, Plain makes the framework more legible to them. That could matter more than another layer of prompt glue if AI is going to spend a lot of time editing real codebases.

• –Plain leans into opinionated defaults, which reduces the search space an agent has to reason over and lowers the odds of framework misuse.
• –The agent-specific pieces, like rules, docs, and skills, are more interesting than the branding; they turn framework conventions into machine-readable workflow guidance.
• –The tradeoff is clear: fewer choices for humans, less compatibility with Django’s broader ecosystem, but more predictability for automated code changes.
• –Its success depends on whether teams value agent efficiency enough to accept a fork that deliberately narrows the framework surface area.
• –The move also signals a wider shift in tooling: frameworks are starting to treat AI agents as first-class users, not just autocomplete helpers.