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
Claude Code
Cursor
Codex
Copilot
VS Code
any MCP client
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A faster team, and the numbers to prove it.
Delivery insights you can act on. Five minutes to connect, no card.
Your dashboard The pull request Slack Your coding agent
Coderbuds reads pull requests, reviews and deployments — then carries what helped into the next session.
One platform, two ways to improve
Understand the team. Improve the work.
For engineering managers & leads
See what's healthy — and what needs attention.
Explore delivery, collaboration and team health over time, from the company view down to the work behind each metric.
Delivery
Last 30 days DORA Elite
Opened
464 +11%
vs previous 30 days
Reviewed
447 +7%
vs previous 30 days
Merged
445 +10%
vs previous 30 days
Deploys
182 +57%
vs previous 30 days
Opened Merged Previous
30 days ago Today
By person · merged, last 30 days
MA Maria 61 PRs
SB Sam 48 PRs
AK Alex 27 PRs
Real data, no signup. Explore delivery, collaboration and team health metrics.
For engineers
Turn team insights into practical guidance.
Give engineers and coding agents useful context before review, when it 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
One command. Your code never leaves your repo.
The difference
A dashboard should do more than report what happened.
Here is one way a delivery insight becomes a better outcome: the same 645-line change, followed from both perspectives.
Without Coderbuds
The standard arrives in review
Engineer
- Prompt the coding agent It starts from zero and guesses your conventions.
- 645 lines, 12 files Looks reasonable to the coding agent. Nothing pushed back.
- Pull request opened "Can you split this?" · "We don't do migrations that way."
- Reworked two days later The rules existed. They just arrived too late to help.
Manager
- Spot it in the queue If you happen to be looking that day.
- Leave the comment yourself Again. You are the enforcement mechanism.
- Same conversation next sprint Different person, identical feedback.
- "Is the AI bet paying off?" "We ship more, I think."
Standards live in people's heads and review comments — the two places coding agents never look.
With Coderbuds
The standard arrives in the prompt
Engineer
- Prompt the coding agent Session opens with your conventions, org map and playbooks.
- Pre-flight verdict: caution 645 lines is over your 400-line standard.
- Split into two pull requests Descriptions written to your own playbook.
- Merged in 8 hours No review round spent teaching house style.
Manager
- Caught before the PR existed You did not have to be in the room.
- Advice taken on 34 of 41 checks Adoption you can see, per standard.
- Rules that earn nothing get retired The standard improves on evidence.
- "Is the AI bet paying off?" "8 hours to merge, down from 40."
Standards travel with the work, and you find out which of them were worth having.
Same people, same coding agents, same prompts. The only difference is whether the standard showed up before the code or after it.
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
KTLO Meaning: What "Keep the Lights On" Work Actually Costs
KTLO stands for keep the lights on: the engineering work that keeps existing software running rather than building something new. Here is what counts, how to measure your KTLO ratio from data you already have, and why the number misleads more often than it helps.
Sep 5, 2026
Coderbuds Team Comparisons
AI Code Review Tools Compared: CodeRabbit, Greptile, Qodo, Graphite and More (2026)
CodeRabbit, Greptile, Qodo, Graphite and cubic compared on context, coverage and what the benchmarks actually mean — plus the finding that beats tool choice.
Aug 29, 2026
Coderbuds Team Comparisons
7 Best Pluralsight Flow Alternatives for Engineering Teams in 2026
Flow retires on 31 December 2027 and renewals have already closed. Seven platforms worth evaluating before you have to move, and how to choose between them.
Aug 29, 2026
Coderbuds Team
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 plan. Every Coderbuds tool included.
Start free, then pay per active developer when you're ready to continue.
Delivery intelligence for the whole team
Understand how your team ships, find bottlenecks, and turn what you learn into practical guidance — with or without a coding agent.
What's included
- Delivery, collaboration and team-health insights, with six months of history
- Company, team and individual views, down to the work behind each metric
- Your standards in every coding agent, checked before the pull request
- The Coderbuds agent in Slack — review follow-ups, deploy alerts, weekly reports
$12 USD
Per active developer/month, billed annually
Save 20% compared with monthly billing