Video wird geladen...
Video konnte nicht geladen werden
94% OF ENGINEERING ORGS USE AI. ONLY 6% SCALE IT The missing link is context and governance. That’s exactly what Atlassian is going after with its new agentic engineering stack: Code Context + governed agent loops in Atlassian Jira + DX measurement. The idea is simple: make agents a... show more
29,622 Aufrufe • vor 1 Tag •via X (Twitter)
10 Kommentare

Appreciate @Atlassian giving me an early look at this one and partnering with me on the launch 🫶 There’s a lot more in the full announcement here: >

@Atlassian @Jira the 6% stat is the real story, most teams add copilots before fixing context and evals

@Atlassian @Jira so true @yevloop!

@Atlassian @Jira The Jira agent-loop piece is the interesting bit. Most agentic rollouts stall from no audit trail when something breaks, not bad models. Does the governance layer block merges or just log after the fact?

@Atlassian @Jira The 64 percent has a selection problem in it. Teams that can hand an agent rich context are the ones with clean boundaries and current docs already, and those teams were shipping faster before any of this arrived.

@Atlassian @Jira Context is the real bottleneck. Too many teams jump straight to tools without grounding agents in their actual codebase, then wonder why the output is noise. That 64% stat doesn't surprise me.

@Atlassian @Jira Looking to expand your reach and visibility? Let’s connect

@Atlassian @Jira Why not! just followed and DM' ya :)

@Atlassian @Jira 😎

@Atlassian @Jira Fascinating signal. I think context and governance are the real unlock here. What guardrails keep agent loops reliable at scale?
