Built for tech leads

See how your team ships. Coach it in every review.

MergeTempo turns your team's GitHub activity into delivery metrics across every repository you ship — merge tempo, review latency, churn, quality. Then it makes code review the place you coach: not just is the code right, but does it do what the ticket actually asked?

dashboard — delivery metrics across every repo

Delivery metrics

The numbers behind how your team ships.

Merge tempo, review latency, code churn ownership, quality attribution — aggregated across every repository your team ships, with one click to drill into a single repo when the numbers move. No meetings, no spreadsheets, no CSV exports.

Delivery metrics that answer questions

Time to merge, time to first review, PR size, review load — computed in business hours, per developer, per repository, or across the whole team.

Every repo a team ships

Teams track as many repositories as they own. Look at the whole team for the big picture, then drill into a single repo when something moves.

Weekly reports where leads already are

Every Monday each lead gets a report in Slack: what went up, what went down, and a narrative that reads like a good standup, not a CSV.

Coaching that survives the sprint

Turn a review pattern into a development plan with AI check-ins, and trace production bugs back to the pull request that shipped them.

Review as coaching

Every review is a coaching moment.

Reviewing a pull request isn't just checking code — it's checking that the change does what you actually asked for. MergeTempo puts an AI brief beside every diff: what changed, where the risk is, and whether it solves the linked ticket. Walk a 40-file PR hunk by hunk and leave feedback that teaches.

  • nnext hunk — the only key you really need
  • iAI brief: what changed, where to look first
  • einline AI comments on suspicious lines
  • xmark file viewed, jump to the next unviewed
  • aapprove without touching the mouse
keyboard review — AI brief open (i), inline comments (e)

Coaching from evidence

See the feedback your team actually gets.

Every review comment is classified into a fixed 12-category taxonomy. The result is a map of who receives what kind of feedback — correctness bugs, architecture pushback, nitpicks, praise — so coaching starts from evidence, not impressions.

Developer
Correctness bug
Architecture & design
Naming & readability
Style & convention
Testing
Performance
Security
Error handling
Documentation
Question / discussion
Praise
Nitpick / other
mira-chen
1
2
1
6
2
1
3
4
1
jonasw
7
3
1
2
5
1
4
2
1
2
anapaula
1
1
1
2
4
8
tsato
2
8
2
1
2
1
1
5
2
1
kipdev
1
6
9
1
3
1
7
oliver-r
3
1
1
7
1
4
6
2
1

Stacked PRs

Small PRs, stacked — reviewed in order.

Big pull requests are hard to review and harder to coach on. Give your coding agent the MergeTempo stacked-PR skill and it ships the work as a chain of small, dependent PRs — each based on the last, each linked to the whole stack. Bases retarget automatically as they merge, and you review them in order, right here.

  • · Works with Claude Code, Cursor, Copilot & Codex
  • · No extra tooling — a description convention GitHub already understands
  • · MergeTempo shows each PR's place in the stack and merge order
developtrunk
  1. #101feat/users-schema→ develop
  2. #102feat/users-api→ feat/users-schema
  3. #103feat/users-ui→ feat/users-api

When #101 merges, GitHub retargets #102 onto develop automatically. Review top to bottom.

Pricing

One flat price. You choose how the AI runs.

Per team

$4.99/ team / month

  • Delivery, churn & quality dashboards
  • Unlimited repositories per team
  • Keyboard review inbox with CI status
  • Weekly Slack reports for every lead
  • Stacked-PR skill for your coding agents
  • JIRA delivery tracking & bug attribution
  • MCP server for your own agents

AI, two ways

Every AI interaction — PR briefs, inline diff comments, weekly narratives, ticket sizing, the review agent — is metered in credits. Pick how you pay for them:

AI credits

Buy credit packs as you go. Usage is metered per call and visible per feature, so you always know where the credits went.

Bring your own key

Plug in your Anthropic or OpenAI API key and AI features run on it directly. No credits consumed — you pay your provider, not us.

No key and no credits? Everything else still works — the AI panels simply step aside.

Measure how your team ships. Coach it forward.

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mergetempo · built for tech leads who never left the terminal