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.

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.

Delivery insights for engineering teams

Understand how your team delivers.
Help them deliver better.

See where delivery slows down, what's improving, and where the team needs support.
Then turn those insights into guidance for engineers and coding agents.

Try the live demo

Live in 5 minutes

Code stays in your repo

No credit card required

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

Loading the tour…

A faster team, and the numbers to prove it.

Delivery insights you can act on. Five minutes to connect, no card.

Try the live demo

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

Explore the delivery insights

Real data, no signup. Explore delivery, collaboration and team health metrics.

Context out

Evidence back

Context
out

Evidence
back

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

Connect your coding agent

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

Lead Time

~4 days

Before

~1 day

75% faster

Deploys

Bi-weekly

Stressful

Daily

20x more

DORA

None

Guessing

Elite

Top tier

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

Try the live demo

From the blog

All posts

Coderbuds

How We Tell Which AI Agent Wrote a Pull Request, Even When It Doesn't Say

Coding agents leave very different evidence. Some sign every pull request, some follow a naming convention, and some leave nothing on the pull request at all. Here are the four signals we use to attribute agent work, and how to tell real evidence from noise.

Sep 27, 2026

Coderbuds Team

Coderbuds

92% of Our Merged Pull Requests Were Written by an Agent

Over 30 days, 298 of our 324 merged pull requests were agent-assisted and 96.5% of every line changed came from them. Not one was reviewed by a human. Here is what that does to engineering measurement — and the nine-slide deck we built out of it, free to download.

Sep 14, 2026

Coderbuds Team

Coderbuds

Dark Mode, Without Editing 205 Components

Coderbuds has a dark mode. The app had 5,844 hard-coded light colours across 205 components and not one dark variant among them — so we repainted the palette instead of the components. Here is what that bought us, and what it cost.

Sep 14, 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

Your source code is never stored

Compare to LinearB, DX, Swarmia & Haystack

Understand how your team delivers. Help them deliver better.

How Coderbuds works

Understand the team. Improve the work.

See what's healthy — and what needs attention.

Turn team insights into practical guidance.

A dashboard should do more than report what happened.

Leadership asks what changed delivery. You have a clear answer.

Before Coderbuds

After 6 Months

See your first delivery picture in five minutes

From the blog

How We Tell Which AI Agent Wrote a Pull Request, Even When It Doesn't Say

92% of Our Merged Pull Requests Were Written by an Agent

Dark Mode, Without Editing 205 Components

Frequently asked questions

One plan. Every Coderbuds tool included.

Delivery intelligence for the whole team

What's included

Understand how your team delivers.
Help them deliver better.

Understand the team.
Improve the work.

A dashboard should do more
than report what happened.