Engineering
The AI Workspace for Engineering Teams
Connect Jira, GitHub, incidents and BI tools into live Spaces for shared engineering decisions.
Engineering has data everywhere, but no shared picture
- Context scattered across Jira, GitHub, incidents, and dashboards
- Teams repeat the same questions in Slack and status meetings
- Reports go stale before decisions get made
- No single view across squads and environments
Use Cases
Engineering use cases on LamLam
Real questions your team asks every day — answered instantly and saved as live Spaces.
Code review bottlenecks
Ask LamLam
"Why is our code review taking too long?"
Slow reviews kill velocity — but the root cause is usually hidden across tools. LamLam connects GitHub and your tracker so you can spot the bottleneck in seconds.
What you get
- Reviewer workload heatmap across squads
- Average PR wait time and review cycles
- Complexity vs. turnaround correlation
- Saved as a live Space with action items
GitHub
JiraThought for a few seconds
I need to find the bottleneck in code reviews. Let me pull PR data from GitHub — open time, reviewer assignments, review rounds — and cross-reference with Jira sprint data to see which squads are most affected.
Average review wait time is 18h, 3x longer than last quarter. The Platform squad has 72% of open PRs — two reviewers handle 80% of all reviews.
GitHubJiraIncident reviews
Ask LamLam
"Incidents report from last year?"
Postmortems shouldn't take longer than the incident itself. LamLam aggregates incident data so your team spends time fixing, not searching.
What you get
- P1/P2 incident trends over 12 months
- MTTR breakdown by service and team
- Related PRs and deploy events per incident
- Postmortem notes and follow-ups in-place
P1 incidents dropped 40% YoY, but the Payments service still accounts for 60% of all P1s. MTTR improved across the board except for database-related issues.
Quarterly goal tracking
Ask LamLam
"What's our progress on quarterly goals?"
Product asks "are we on track?" and engineering scrambles to build a slide deck. LamLam keeps everyone aligned with a single, always-current view.
What you get
- Sprint completion rate vs. plan
- Story points delivered by squad
- Blockers and dependencies flagged
- Product + engineering aligned in one Space
3 of 5 OKRs are on track. The API Platform initiative is at risk — 2 blockers flagged and velocity dropped 30% in the last sprint.
Why engineering teams choose LamLam
Collaboration-first
Spaces keep data and decisions together, no more screenshot ping-pong.
Your tools, no rip-and-replace
Jira, GitHub, Datadog, Power BI, connect in clicks, not sprints.
Always-live data
Answers update automatically. No stale reports, no manual refreshes.
Decision-makers + ICs
Execs see engineering health, engineers get the context they need.
See your engineering data in a live Space
Share your Jira and GitHub, we'll build your first Engineering Space live in 15 minutes.