Agents should know better. With Jira, they do. Today we’re launching governed agent loops to move the SDLC from one-off sessions to always-on execution: → Code Context for semantic codebase understanding → Agent loops to automate the path from backlog to PR → Standards to set guardrails every agent... must follow → DX to measure the real impact on your ROI Stop managing sessions. Start scaling the loop.show more

Get the details:

always-on execution still needs someone accountable for the PR decision, not just automation running unattended. lead mode is one owner, one result, the other two routing modes are for when that's not enough

So… we’re basically giving agents a Jira account and telling them: “Here’s the backlog. Please behave.” 😂 Governance + guardrails + agent loops sound like exactly what we need before things get really interesting. Exciting direction! 🚀

This with ROVO AI 🔥🔥

Always-on is the easy claim. The loop has to be allowed to stop. If an agent cannot fail a standard and halt, you did not add governance. You added a cron job with a Jira login.

governed loops sound good but the agents in those loops also browse. registries, docs, random links in tickets. this year agents literally backdoored JFrog Artifactory with plain repo writes. we ended up building an AI agent allow list for this, 40M domains, 28 page types like login checkout pricing etc, denied before the request goes out. ran all the 2026 incidents through it, most would have been prevented. do your Standards cover URLs?

We moved to ADLC a long time ago ai help us to create and resolve the jira ticket You are doing right things

backlog to PR without Code Context is just spam. the loop only works if the agent knows the repo

The useful distinction here is governance without freezing iteration. The best agent loop should make the safe path faster than the shortcut. Curious how teams will tune standards when the codebase and risk profile change.