Connecting the Line: Our New Logo
We started out focused on code, and our logo said so. Coderbuds now covers the whole delivery line — idea to branch to review to deploy to the number that proves it worked. So we closed the gaps in the mark.
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.
A faster team, and the numbers to prove it.
Delivery insights you can act on. Five minutes to connect, no card.
Coderbuds reads pull requests, reviews and deployments — then carries what helped into the next session.
One platform, two ways to improve
For engineering managers & leads
Explore delivery, collaboration and team health over time, from the company view down to the work behind each metric.
vs previous 30 days
vs previous 30 days
vs previous 30 days
vs previous 30 days
By person · merged, last 30 days
Real data, no signup. Explore delivery, collaboration and team health metrics.
For engineers
Give engineers and coding agents useful context before review, when it can still prevent rework.
❯ 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
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
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.
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
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.
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
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.
Lead Time
~4 days
Before
~1 day
75% faster
Deploys
Bi-weekly
Stressful
Daily
20x more
DORA
None
Guessing
Elite
Top tier
Lead Time
SlowCode sitting in review limbo
Deployments
Infrequent"Big bang" releases with stress
Visibility
NoneDecisions based on gut feelings
Lead Time
75% fasterBottlenecks identified instantly
Deployments
20x moreSmall batches, confident releases
DORA Status
Top TierOperating 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
No credit card • No sales call • See your first data in 5 minutes
Setup
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.
We started out focused on code, and our logo said so. Coderbuds now covers the whole delivery line — idea to branch to review to deploy to the number that proves it worked. So we closed the gaps in the mark.
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.
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.
Start free, then pay per active developer when you're ready to continue.
Understand how your team ships, find bottlenecks, and turn what you learn into practical guidance — with or without a coding agent.
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
Per active developer/month, billed annually
Your source code is never stored
What's it worth?
Hours saved, velocity gained, and the ROI of finally knowing what's working.
Conservative estimate of velocity improvement.
Hours saved/mo
Across engineers
Annual Value
ROI
Calculation breakdown: