AI sped up the code. It didn't fix the handoff.
AI creates more coding sessions and handoffs. When the reasoning stays in chat, terminal history, or one engineer's head, the next session starts by repeating explanations, investigation, and mistakes.
Every session can become a reset
Jira tracks the assignment and GitHub tracks the code, but neither automatically preserves what the team and its agents learned while doing the work.
Faster output creates more handoffs
More changes move between product, engineering, reviewers, and coding agents. Thin story history turns that speed into repeated reconstruction.
Imdone gives the story durable memory
Decisions, blockers, failed attempts, evidence, and next steps stay attached to the Jira story and close to the code.
Pull. Capture. Push. Resume.
Keep Jira. Keep the coding agents your team already uses. Imdone makes the story the durable handoff between them.
1. Pull the Jira story
Run imdone pull so the issue, comments, and attachments are available beside the code.
2. Start the work
Run imdone hdd --light STORY-123 to give the coding session the problem, current plan, and story history.
3. Capture what matters
Humans and agents record decisions, blockers, evidence, failed attempts, and next steps while the work is fresh.
4. Push useful updates
Run imdone push so Jira stays useful to product owners, engineering leaders, and the rest of the team.
5. Resume without replay
The next developer or coding agent continues from the story record instead of reconstructing the work from chats and commits.
What your team tests for 30 days
For 30 days, one Jira team uses real stories to test whether durable story memory makes AI-assisted work easier to resume, review, and hand off.
Resume time
How long does it take another developer or agent to understand the current state and continue?
Repeated investigation
How often does the team avoid analysis that was already completed in an earlier session?
Handoff quality
Can another teammate explain the decision, evidence, blocker, and next action from the story record?
Context capture
Do active stories contain substantive decisions, blockers, evidence, and next steps without filling Jira with AI noise?
30-day AI Story Memory Pilot — $1,500
One Jira team, one Jira project, and up to two repositories. Includes guided setup, team onboarding, weekly evidence reviews, and a findings report with an adopt, revise, or stop recommendation.
Used inside real engineering teams
Developers who use imdone
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Get imdone desktopSee whether durable story memory works for your team
Start with one team and real Jira stories. Measure the handoffs instead of making another broad AI productivity claim.