How do I connect my GitHub repositories?

Navigate to your team's repositories page and click 'Add Repository'. You'll need GitHub admin access to the repositories you want to connect. Coderbuds will automatically set up webhooks to track pull requests and activities.

Why aren't my deployments showing up?

Deployments require GitHub Actions with proper deployment tracking. Make sure your workflow includes an environment section and the deployments: write permission. See our Setup Guide for examples.

What are DORA metrics and why do they matter?

DORA (DevOps Research and Assessment) metrics are industry-standard measurements for software delivery performance: Deployment Frequency, Lead Time, Change Failure Rate, and Mean Time to Recovery. They help teams identify bottlenecks and improve their development practices.

How is Lead Time calculated?

Lead Time is measured from when a pull request is created until it's deployed to production. This includes code review time, merge time, and deployment pipeline duration. It reflects how quickly your team can deliver changes to users.

Can I manually mark deployments as failures?

Yes! Use the 'Mark as Failure' button on deployment cards to track production issues that weren't automatically detected. You can also link recovery deployments to calculate accurate Mean Time to Recovery.

What's considered an elite-performing team?

Elite teams deploy multiple times per day, have lead times under 24 hours, change failure rates below 15%, and recover from incidents in under 1 hour. These benchmarks come from years of DevOps research across thousands of organizations.

How are pull request sizes categorized?

PRs are automatically categorized by total lines changed (additions + deletions): Tiny (<10 lines), Small (10-99), Medium (100-299), Large (300-599), Extra Large (600-1199), and Oversized (1200+). Smaller PRs are generally easier to review and have lower defect rates.

What do the AI-powered quality scores mean?

AI scores analyze code structure, documentation quality, testing coverage, and adherence to best practices. Scores range from 1-10, helping teams identify PRs that might need additional review or improvements.

Can I filter pull requests by specific team members?

Currently, you can filter by repository and status. Team member filtering is on our roadmap. You can use the search functionality to find PRs by specific authors or reviewers.

What GitHub permissions does Coderbuds need?

Coderbuds needs read access to repositories, pull requests, and deployment data. We also require webhook management permissions to receive real-time updates. All permissions are used only for metrics collection and analysis.

Can I use Coderbuds with private repositories?

Yes! Coderbuds fully supports private repositories. All data is encrypted in transit and at rest. We never store your actual code content, only metadata like commit SHAs, timestamps, and PR statistics.

Is Coderbuds SOC 2 ready and enterprise-grade?

Yes! Coderbuds implements enterprise-grade security: AES-256 encryption for all OAuth tokens, BitBucket webhook security (P0.1), HMAC-SHA256 validation with IP allowlisting, timing-attack protection, and comprehensive audit logging. Our security architecture resolves critical P0 vulnerabilities and meets SOC 2 requirements for enterprise deployments and regulatory compliance.

How do you secure webhook integrations?

We implement P0.1 BitBucket webhook security with HMAC-SHA256 signature validation, IP allowlisting for BitBucket Cloud ranges, and timing-attack protection using cryptographically secure comparisons. All webhook requests are validated against official provider IP ranges before processing, preventing unauthorized webhook injection and malicious attacks.

How are OAuth tokens protected?

All GitHub and BitBucket OAuth tokens are encrypted at rest using AES-256 encryption with Laravel's built-in security system. Tokens are encrypted when stored and decrypted only when needed for API requests. This protects against database breaches and meets enterprise security requirements.

Why are some of my old pull requests missing?

Coderbuds begins tracking data from the moment repositories are connected. Historical data isn't automatically imported, but you can contact support if you need specific historical analysis.

How do I remove a repository from tracking?

Go to your team's repositories page and click the remove button next to the repository. This will disable webhooks and stop new data collection. Historical data remains available for analysis.

Last updated: March 3, 2026

Coderbuds

Name: Coderbuds
Rating: 4 (0 reviews)
Author: TopAITools

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Introduction:

AI agents that enhance engineering workflows and outcomes.

Launch Date:

February 8, 2022

Social links:

Monthly Visits:

Inputs:

Outputs:

Supported Languages:

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💼Work🎨Creativity

AI Development Tools436 Quality Assurance Tools58 Tailwind CSS & Alpine JS UI Blocks14 Production Deployment Tools54 Developer Content Moderation Tools6 App Ideation and Realization Tools42 App Development Collaboration Tools34 Developer Productivity Tools190

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Coderbuds Overview

What is Coderbuds?

Coderbuds is an innovative platform that utilizes AI agents^[1] to enhance the performance of engineering teams by addressing common bottlenecks in the development process. These AI agents are designed to streamline code reviews, reduce pull request (PR) sizes, and respond to deployment failures, all while providing outcome tracking^[5] to demonstrate the effectiveness of their interventions. By enabling your first agent in just five minutes, Coderbuds empowers teams to achieve high performance and productivity with minimal manual oversight.

How to use Coderbuds?

Visit the Coderbuds website and create an account by clicking on 'Get Started'.
Authorize Coderbuds to access your repositories, ensuring your code remains secure and stored in your existing platforms.
Within five minutes, enable your first AI agent to start tracking and improving your engineering workflows.

What are the main features of Coderbuds?

AI Agents: Specialized agents like Review Chaser^[2], PR Size Coach^[3], and Deploy Health^[4] act autonomously to resolve issues.
Outcome Tracking: Coderbuds provides before-and-after metrics to validate the effectiveness of each intervention.
Integration: Seamless integration with popular tools like GitHub, Bitbucket, Jira, and Slack to enhance existing workflows.
DORA and SPACE Metrics: Automatic capture of key performance indicators to monitor engineering efficiency.

Who is Coderbuds for?

Coderbuds is tailored for engineering teams, particularly those in organizations ranging from small startups to larger enterprises. It is designed for teams that are looking to enhance their development processes, improve code review efficiency, and reduce deployment failures without the need for constant manual oversight. Engineering leaders and managers seeking measurable improvements in team performance will find Coderbuds particularly beneficial.

What are the use cases of Coderbuds?

Improving Code Review Speed: Using the Review Chaser agent to prompt reviewers, thereby reducing delays in the review process.
Managing Pull Request Sizes: Employing the PR Size Coach to flag oversized PRs and recommend splitting them into smaller, manageable chunks.
Monitoring Deployment Health: Utilizing the Deploy Health agent to analyze and respond to deployment failures, ensuring smoother releases.

Product Images

Using Coderbuds to enable AI agents for engineering teams

Coderbuds product overview with founder Elliot Taylor

1 / 2

Coderbuds Pros and Cons

Pros

Fast Setup and Integration: Enable your first AI agent in just 5 minutes with no credit card required, allowing for quick integration into your workflow.
Automated Performance Tracking: Coderbuds automatically captures DORA and SPACE metrics, providing insights into team performance and bottlenecks without manual effort.
AI-Driven Process Improvement: The tool employs specialized AI agents to autonomously address issues like slow reviews and oversized PRs, enhancing overall team efficiency.

Cons

No cons data detected for this tool

Coderbuds Pricing

AI Agents Plan

USD 12.00/monthly

Enable agents that fix bottlenecks and prove what worked. Includes AI agents like Review Chaser, PR Size Coach, and more. Outcome tracking with before/after proof, DORA metrics, and SPACE framework dashboards. Integrates with GitHub, Bitbucket, Jira, and Linear. Slack reports, alerts, and agent notifications. Your code is never stored.

For the latest pricing, please visit this link: https://coderbuds.com/

Prices are subject to change. Please visit the official website for the most up-to-date pricing information.

Analytics of Coderbuds

Coderbuds Website Traffic Analysis

Visits Over Time

Dec 2025 - Jan 2026 All Traffic

AI Tools Rank

Monthly Visits

45.25%

Bounce Rate

1.01

Pages Per Visit

0:00

Visit Duration

Global Rank

Country Rank

Coderbuds Reviews

Now I walk into leadership meetings with data, not guesswork — and the team finally knows what 'good' looks like.

For more reviews, visit this link: https://coderbuds.com#reviews

Coderbuds Compare

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Info current as of post date. Offers and availability may vary by location and are subject to change.

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Coderbuds Prompts (0)

Prompts And Results

Add your own prompts and outputs to help others understand how to use this AI.

Coderbuds Q&A

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.

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.

We use anonymous weekly pulse surveys (3 questions, ~1 minute) and monthly deep dive surveys (15 questions, ~5 minutes) to track happiness, focus time, collaboration quality, tools satisfaction, and growth opportunities. Team leads only see aggregated team-level scores to protect individual privacy and encourage honest feedback.

Single metrics can be gamed. If you only track PRs shipped, teams create tiny PRs. If you only track deployments, quality suffers. SPACE's 5 dimensions create a balanced scorecard—you can't optimize one without the others staying healthy. It's how elite teams maintain sustainable performance.

Within 5 minutes of connecting your repositories. Trial users get 30 days of historical data imported and analyzed. Subscribers get 6 months of history for deeper trend analysis.

Never. We only store metadata — timestamps, PR titles, and statistics. Your source code stays in GitHub or Bitbucket.

AI agents that don't just show you metrics — they act on them. Review Chaser nudges slow reviewers, PR Size Coach suggests splits, Deploy Health responds to failures. Every agent tracks outcomes so you can prove what worked. Built for 5–50 person teams with transparent pricing and no implementation project.

AI agents handle improvement at scale — chasing slow reviewers, flagging oversized PRs, and responding to deployment failures. You enable an agent, it takes action, and outcome tracking proves whether things improved. Leaders get measurable results without micromanaging.

For more FAQs, please visit this link: https://coderbuds.com/docs/faq