For engineering teams shipping with AI

One standard for every agent.
One view of how the team ships.

Every agent on your team codes like your best engineer — and you get the metrics to see it and prove it.

Try the Live Demo
Live in 5 minutes
Code stays in your repo
No credit card required
10,000+ pull requests analyzed
Same standards in every agent
Claude Code
Cursor
Codex
Copilot
VS Code
any MCP client
Reads your stack
GitHub
Bitbucket
Jira
Linear
Slack
Teams

How it works

One change, all the way through

Your agent, your pull requests, your Slack, your dashboard — Coderbuds works in all four, so the standard travels with the change instead of living in a wiki.

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A faster team, and the numbers to prove it.

Same standards in every agent, and proof they helped. Five minutes to connect, no card.

Try the live demo
Your coding agent The pull request Slack Your dashboard

Then what proved out loads into the next agent session.

Two seats, one set of standards

Your standards go into the agent. The results come back out.

Standards in Results out

For engineers

Your agent already knows how we work here.

Every session opens like this — whichever agent you run.

claude code · cursor · codex

❯ add rate limiting to the webhook endpoint

⚙ get-team-context

7 repos · hub depends_on sdk, docs documents hub

conventions · deploys Tue/Thu · squash merges

playbooks · pr-description, migration-safety, +3

⚙ assess-change-fit

+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 agent

One command. Your code never leaves your repo.

For engineering managers & leads

Your standards enforce themselves.

Opened, reviewed, merged, deployed — this month against last.

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
Open the live demo dashboard

Real data, no signup. DORA and SPACE underneath.

The difference

Same prompt. Same team. Two very different weeks.

One 645-line change, followed from both seats.

Without Coderbuds

The standard arrives in review

Engineer

  1. Prompt the agent

    It starts from zero and guesses your conventions.

  2. 645 lines, 12 files

    Looks reasonable to the 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 agents never look.

With Coderbuds

The standard arrives in the prompt

Engineer

  1. Prompt the 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 agents, same prompts. The only variable is whether the standard showed up before the code or after it.

Picture this: 6 months from now

You walk into the board meeting with a single slide. DORA Elite status. Lead time down 75%. Deployments up 20x. AI agents did the work — you have the proof.

That's exactly what Patchstack did

From Guessing to Elite in 6 Months

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

Get the Same Results Read How They Did It

No credit card • No sales call • Results in 5 minutes

Setup

Five minutes to your first verdict

Connect a repository, connect an agent, open a pull request. No implementation project, no data warehouse, no workshop.

GitHub or Bitbucket · no card 30 days of history on connect New repositories added for you
Poke around the demo first

From the blog

All posts →
Engineering

From Code Reviews to AI Agents: We Didn't Plan This. Nobody Did.

We started as a peer code review tool. Now we ship autonomous AI agents that run engineering teams. Here's the messy, honest story of how the job of building software changed underneath us — and what it tells you about what's coming next.

Coderbuds Team
View all posts

Frequently asked questions

Won't the next model just fix this?
No, because it isn't a model problem. A model optimizes one session. Your delivery runs across hundreds of sessions, several humans, a review queue, and a deploy pipeline. What's missing between them isn't intelligence — it's shared standards, memory, and follow-through. That's a system around the model, and no model upgrade ships it.
Why not just put our standards in a CLAUDE.md file?
Plenty of teams start there, and it works until it doesn't. A rules file lives in one repo, so it drifts between repos and gets duplicated for each agent vendor. It loads on every session whether it's relevant or not, so it competes for context with the actual task. And nobody ever finds out which rules helped. Coderbuds serves the same rules org-wide to any agent, sends only an index until a rule is actually needed, and measures whether following it made you faster. Full comparison: coderbuds.com/docs/vs-context-files
Is this a surveillance tool for tracking engineers?
No, but we won't pretend it shows a lead nothing about individuals — it does, because that is what managing a team involves. The rule is symmetry: every number a lead can see about an engineer, that engineer can see about themselves, and coaching goes to them first rather than up the chain. Satisfaction surveys stay anonymous and team-level. The pre-flight check exists to save someone a review round, not to file a report. That's deliberate rather than generous: engineers install the MCP server themselves, so a tool that felt like monitoring would never get connected.
What is the SPACE Framework?
SPACE is a research framework developed by Microsoft Research, Google, and the University of Victoria that measures 5 dimensions of productivity: Satisfaction & Well-being, Performance (DORA metrics), Activity (work output), Communication & Collaboration, and Efficiency & Flow. It provides a holistic view beyond just code output.
Are you just another DORA dashboard?
No. Dashboards show problems — agents fix them. Coderbuds tracks all 5 SPACE dimensions (Satisfaction, Performance, Activity, Collaboration, Efficiency) and pairs each with AI agents that take action. Review Chaser improves turnaround. PR Size Coach reduces PR bloat. Outcome tracking proves what worked.
Do you store our code?
Never. We only store metadata — timestamps, PR titles, and statistics. Your source code stays in GitHub or Bitbucket.
More questions? See all FAQs

One Plan. Everything Included.

Start free. Upgrade once the standards have earned it.

One standard in every agent

Your conventions load into every coding agent your team runs, every change is checked before it is opened, and you get a number for whether it helped.

What's included

  • AI agents: Review Chaser, PR Size Coach & more

  • Outcome tracking with before/after proof

  • DORA metrics and SPACE framework dashboards

  • GitHub, Bitbucket, Jira & Linear integration

  • Slack reports, alerts & agent notifications

  • Your code is never stored

$12 USD

Per developer per month

2 months free when purchased annually

Compare to LinearB, DX, Swarmia & Haystack