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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.

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Live in 5 minutes
Code stays in your repo
No credit card required
10,000+ pull requests analyzed
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

How Coderbuds works

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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.

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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.

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

  1. Prompt the coding agent

    It starts from zero and guesses your conventions.

  2. 645 lines, 12 files

    Looks reasonable to the coding agent. Nothing pushed back.

  3. Pull request opened

    "Can you split this?" · "We don't do migrations that way."

  4. Reworked two days later

    The rules existed. They just arrived too late to help.

Manager

  1. Spot it in the queue

    If you happen to be looking that day.

  2. Leave the comment yourself

    Again. You are the enforcement mechanism.

  3. Same conversation next sprint

    Different person, identical feedback.

  4. "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

  1. Prompt the coding agent

    Session opens with your conventions, org map and playbooks.

  2. Pre-flight verdict: caution

    645 lines is over your 400-line standard.

  3. Split into two pull requests

    Descriptions written to your own playbook.

  4. Merged in 8 hours

    No review round spent teaching house style.

Manager

  1. Caught before the PR existed

    You did not have to be in the room.

  2. Advice taken on 34 of 41 checks

    Adoption you can see, per standard.

  3. Rules that earn nothing get retired

    The standard improves on evidence.

  4. "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

Dave Jong
"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
Engineering

MCP Just Dropped the Session — Here's What That Breaks

The 2026-07-28 spec removes the initialize handshake, the session ID, and server-initiated requests. Google pushed for it because session-pinned servers can't scale horizontally. We run an MCP server in production — here's the honest audit of what it costs us, and what you'll need to change.

Coderbuds Team
Engineering

Your Code Review Stopped Being a Quality Signal

94% of technology leaders say AI-generated code looks higher quality during review. 78% say they get more incidents once it deploys. Both numbers come from the same people, about the same code — and only one of them is measuring anything real.

Coderbuds Team
Engineering

Everyone Got Faster and Nothing Shipped Sooner

Two years of telemetry from 22,000 developers says AI-assisted teams merge 16% more pull requests per developer — and spend 441% longer in review to do it. The bottleneck didn't disappear. It moved downstream, to the part of your pipeline that still runs at human speed.

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.
More questions? See all FAQs

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

  • DORA and SPACE dashboards with six months of history

  • Delivery, collaboration and team-health insights

  • Company, team and individual views with the work behind every metric

  • Shared standards across your repositories and coding agents

  • The Coderbuds AI Agent, with every tool included

  • Checks for change fit, PR size and team conventions before review

  • Review follow-ups, deployment alerts and team reports

  • GitHub, Bitbucket, Jira, Linear and Slack integrations

$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