Coderbuds
Coderbuds gives engineering teams instant visibility into their delivery performance with automated DORA metrics and actionable insights.
Documentation
Connect the tools your team already uses
GitHub
Bitbucket
Jira
Linear
Slack
Teams
Put what you learn to work in every coding agent
Cursor
Codex
Copilot
VS Code
any MCP client
Terminal FileEditViewWindowHelp
turing/api — claude
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Claude Code v2.1.220
Fable 5 · Claude Team
~/…/Sites/turing/api
> add usage-based billing to checkout so we can meter per-seat overages
⏺ get-team-context
⎿ 7 repos · conventions · playbooks: pr-description, +4
✻ Drafted 645 lines across 12 files
⏺ assess-change-fit
⎿ verdict: caution — over your team's 400-line limit
changes this size take ~5× longer to merge
✻ Splitting into 2 pull requests…
● high · /effort
❯
⏵⏵ auto mode on (shift+tab to cycle) · PR #3253
Every pull request, review and deploy makes the next session smarter.
Understand the team. Improve the work.
For engineering leads
See what's healthy, and what isn't.
How the work ships and who is carrying it, down to the pull requests behind each number.
Today
Opened 3 In review 8 Ready 2 Deployed 4
Delivery vs previous 30 days
Opened
179 +12%
Merged
164 +9%
Deploys
121 +31%
Bottleneck
7h
DORA
Elite
Team vs previous 30 days
Contributors
7
Reviews
131
Quality
88/100
Satisfaction
3.6/5
Merged Reviews
MA Maria 26 24
SB Sam 18 31
AK Alex 21 17
PR Priya 14 22
For engineers and their agents
Guidance before review.
Your coding agent starts with the team's context and checks its change while that can still prevent rework.
claude code · cursor · codex
❯ add rate limiting to the webhook endpoint
⚙ get-team-context-tool
7 repos · hub depends_on sdk, docs documents hub
conventions · deploys Tue/Thu · squash merges
playbooks · pr-description, migration-safety, +3
⚙ assess-change-fit-tool
+412 −233 across 6 files
✓ fits · median PR here is 240 lines
expect ~8h to merge · 3 PRs in the queue
✓ ready — no re-explaining, no rewrite in review
Speaks up where your team already talks.
Coderbuds watches every pull request, review and deploy, and says so in Slack when something needs a person. Nobody has to go and look.
No pull request waits in silence.
When a review stalls, the team channel hears about it by name and in the open, so nobody has to be the one chasing.
#engineering
Coderbuds APP 10:02 AM
Agent nudges
@Sam Friendly reminder: PR #412 "Rate-limit the webhook endpoint" in api has been waiting for review for 2 days.
Merged isn't shipped.
Work that is merged but not yet in production gets a queue in the channel, with a Deploy button wherever you have set up a deploy trigger.
#deploys
Coderbuds APP 3:18 PM
api — 3 pull requests ready to deploy
- • #412 Rate-limit the webhook endpoint — @Maria
- • #415 Retry failed Stripe events — @Sam
- • #418 Fix the digest timezone — @Alex
Merged to main and awaiting a production deployment.
Deploy to production
Monday, in one message.
Where work waits longest, whether that is getting better, and who carried the reviews. It is the brief every new team starts on.
#engineering
Coderbuds APP Monday 9:00 AM
Weekly pulse
Your bottleneck is time to first review. Current avg: 19h (was 31h last period).
Weekly recognition highlights:
Sam: 14 reviews completed, reviewed 3 PRs from new team members
Maria: 11 reviews completed, fast reviewer (avg 42min turnaround)
Ask it anything.
Mention @Coderbuds in Slack. It answers from your team's own pull requests, reviews and deploys, not from a guess.
Coderbuds APP 4:47 PM
You decide how loud it is.
New teams start on a weekly brief. Turn it up when you trust it, or pause it in one click. Anything higher-impact still asks first.
Where you start Post one combined Monday summary to the configured team Slack channel. No individual nudges.
Six months from now
Leadership asks what changed delivery. You have a clear answer.
Not a demo or a list of tools. One slide showing lead time down 75%, deployments up 20× and DORA Elite performance — backed by the work your team actually shipped.
This isn't hypothetical. Patchstack did it.
Security Platform • 12 Engineers
GitHub & BitBucket
Before Coderbuds
Lead Time
Slow ~4 days
Code sitting in review limbo
Deployments
Infrequent Bi-weekly
"Big bang" releases with stress
Visibility
None Zero
Decisions based on gut feelings
After 6 Months
Lead Time
75% faster ~1 day
Bottlenecks identified instantly
Deployments
20x more Multiple/day
Small batches, confident releases
DORA Status
Top Tier Elite
Operating at elite performance level
"Now I walk into leadership meetings with data, not guesswork — and the team finally knows what 'good' looks like."
Dave Jong
CTO, Patchstack
Start free Read how they did it
No credit card • No sales call • See your first data in 5 minutes
Setup
See your first delivery picture in five minutes
Connect a repository and Coderbuds imports your recent history, then starts showing how the team ships — no coding-agent setup, implementation project or data warehouse required.
GitHub or Bitbucket · no card 30 days of history on connect New repositories added for you
From the blog
Metrics
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Comparisons
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Comparisons
6 Best Jellyfish Alternatives in 2026 (With Published Prices)
Jellyfish is priced by seats and modules, and the number comes from a sales call. Six alternatives compared on what they cost, what they connect to and how long setup takes.
Frequently asked questions
What can Coderbuds show me about my team?
Coderbuds brings delivery, collaboration, and team-health signals into one place. You can see lead time, deployment frequency, review delays, pull request patterns, satisfaction trends, and how those measures change over time. Every metric links back to the work behind it, so you can understand what changed instead of guessing.
Do we need to use coding agents?
No. Connect GitHub or Bitbucket and Coderbuds can give you delivery and team-performance insights without any coding-agent setup. If your engineers do use coding agents, Coderbuds can also turn what the team learns into shared guidance inside those sessions.
Why not just put our standards in a CLAUDE.md file?
Start with one — it is the right first step, and we use rules files ourselves. What they cannot do is stay true. A rules file lives in one repo, so it drifts as the code moves and gets copied again for each agent vendor. It loads on every session whether it is relevant or not, and it never tells you which rules actually helped. Coderbuds serves the same standards to any agent across every repo, sends only what a session needs, and measures whether following them made the team faster. Compare Coderbuds with repository context files
Is this a surveillance tool for tracking engineers?
Coderbuds is designed to improve how a team works, not to rank people. Engineering managers and team leads can see some individual delivery data, such as pull request activity. Engineers can see the same data about themselves, and coaching is shown to them first. Satisfaction surveys are anonymous and only reported at team level.
Are you just another DORA dashboard?
No. DORA metrics are one part of Coderbuds. The dashboard shows where delivery is slowing down, while the Coderbuds AI Agent provides tools for checking changes, following up reviews, and monitoring deployments. It then tracks whether those actions helped.
Do you store our code?
No. Your source code stays in GitHub or Bitbucket. Coderbuds stores only the delivery metadata it needs, such as pull request titles, timestamps, and statistics.
One price. Every feature in it.
Start free for 30 days, then pay for the developers who actually ship.
Coderbuds
$29 per developer / month
Billed annually at $290 per developer Billed monthly, cancel any time
$290/mo
30 days free, no card
Not ready to connect a repository? Explore the live demo