BafGo PortBafGo PortEvery requirement, tied to the work that shipped it.
A rule is a requirement written so it can be checked. BafGo links each rule to its code, tests, and demo, and records who approved it. Your AI assistantClaudeGroqCopilot reads Jira, Azure DevOps, and Loom; you just review and approve.
Your tracker already holds the work. Your AI assistantClaudeGroqCopilot already reads the tickets, recordings, and test runs, then writes the code. BafGo records the trace: the rule, the tests, the code, and who approved it.
Write a rule in plain words. BafGo turns it into a checkable spec, so the code and tests can't drift apart from the requirement.
See the chain from requirement to code, test, and demo. If a link breaks, BafGo flags it. The event log is hash-chained and fingerprinted, so the record can't be quietly rewritten.
Approval is a step in the flow, not a comment that gets buried in a ticket. If it isn't approved, it doesn't ship. Sign it with a key and the sign-off is verifiable.
Work happens through a few plain verbs: claim, link, stage, approve. Anyone can follow along, human or assistant.
Agents self-document the work by default. Every command is plain and every file is YAML, so you can write, edit, and approve by hand too.
Your assistant reads GitHub, Linear, Jira, and Loom with its own tools. BafGo records the links. Nothing to install, nothing to maintain.
Write the rule. What should happen, in plain language.
Turn it into a checkable when → then.
The code and its tests are written and linked to the rule.
A live demo is staged. You approve it or send it back.
Tests go green. The rule is verified, end to end.
The port runs on plain, auditable code. No secret sauce. When an AI assist actually helps, you bring your own model with your own keys. We never hold, route, or bill your usage.
Start with one repo and one rule. Watch it move from draft to verified.
see the walkthrough