Predict Risk Boost Resilience

Prevent customer pain and mitigate risk where it counts. Accelerate everything else.
Hero composition mobile

Engineering Excellence on Rails

Use Shepherdly to unlock your PR history to codify best practices

Automated Risk Scoring & Resilience Coverage

PRs are scored for their likelihood of introducing a bug and then measured for resilience relative to the risk. This informs which mitigations are needed to meet resilience coverage targets. Devs get a clear metric to hit and credit for doing the right thing.
Automated Risk Scoring & Resilience Coverage

Drive Cycle Time down for low risk changes

Accelerate low risk PR merges with the objectivity of the Risk Score. Teams on Shepherdly see a full business day improvement on low risk pull requests. 
Drive Cycle Time down for low risk changes

Scale best practice decision making

Trained exclusively on your PR history, Shepherdly codifies the key attributes that led to buggy vs bug free pull requests in the past. This justifies when and how much additional resilience is needed before the change is merged.
Scale best practice 
decision making

Intelligent prioritization of PR Reviews

Optimize Senior Engineering bandwidth & impact by allocating them to the highest risk changes first. 
Intelligent prioritization of PR Reviews

Use empirical customer pain to tackle tech debt

Bugs are a relatable proxy for customer pain. Stakeholders outside engineering don’t easily grok code smells and anti-patterns. Shepherdly tracks your hottest files from a bug fixing perspective so you can target the most problematic modules first.
Use empirical customer pain to tackle tech debt

ROI in 1 month

increase PR review activity for high risk changes
decrease in cycle time for low risk changes

It’s code resiliency on autopilot

CTO avatar
Nikhil Benesch
CTO at Materialize

Goodbye static check list. Hello risk adapted mitigations

See It Live
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autopilot screenshot
autopilot screenshot

Manager Superpowers

Unlock efficiency cheat codes, just for you.
Cost Effective

Balance Velocity & Resiliency

Identify key coaching areas based on over or under-investment in changes relative to their risk.This metric makes it easy to reallocate effort to where it’s needed most.
Forecast Bug Fixing Graphic

Forecast bug fixing load for the next Sprint

Stay ahead of unplanned work. Proactively manage your next sprint’s bug load with latent bug predictions.

Benefits x Role

Built for every role in engineering.


Codify the appropriate speed-quality trade-off org wide and easily demonstrate to other business stakeholders' the critical balance between software resilience and delivery velocity.

EMs and Team Leads

Coach their teams to understand and navigate clear trade-offs between speed and quality. Additionally, managers can promote tech debt initiatives backed by customer-first data mapped directly to problematic source files.


Offer engineers clear, personalized guidance to derisking pull requests, coupled with metrics to tangibly demonstrate their contributions to the project’s health and resilience.

How it works

Shepherdly’s Risk Score uses a predictive model that learns from patterns and outcomes in your codebase history. 
Step 1
Ingestion screenshot


Your full repo pull request history is scanned to setup model training.
Ingestion screenshot
Step 2
Fixing bugs screenshot

Classify bug fixes

Human labels are used first if available, otherwise NLP classification is used.
Fixing bugs screenshot
Step 3
Find culprit screenshot

Find culprit PR

From each eligible bug fix PR, a line-by-line lineage is built across git revisions to pinpoint the culprit PR that introduced the bug.
Find culprit screenshot
Step 4
Scoring screenshot


Every PR is evaluated for Risk & Resilience Coverage, leveraging your historical data to provide immediate, actionable insights from day one.
Scoring screenshot