Predict Risk Boost Resilience
Prevent customer pain and mitigate risk where it counts. Accelerate everything else.
Engineering Excellence on Rails
Use Shepherdly to unlock your PR history to codify best practices
Resilience
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.
Velocity
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.
Policy
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.
Triage
Intelligent prioritization of PR Reviews
Optimize Senior Engineering bandwidth & impact by allocating them to the highest risk changes first.
Hotspots
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.
ROI in 1 month
3.8X
increase PR review activity for high risk changes
74%
decrease in cycle time for low risk changes
“It’s code resiliency on autopilot”
Nikhil Benesch
CTO at Materialize
Goodbye static check list. Hello risk adapted mitigations
See It Live
Manager Superpowers
Unlock efficiency cheat codes, just for you.
Underspent
52
PRs
Resilient
31
PRs
Cost Effective
178
PRs
Overspent
24
PRs
Underspent
52
PRs
Resilient
31
PRs
Cost Effective
178
PRs
Overspent
24
PRs
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 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.
Leadership
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.
Engineer
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
Your full repo pull request history is scanned to setup model training.
Step 2
Classify bug fixes
Human labels are used first if available, otherwise NLP classification is used.
Step 3
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.
Step 4
Scoring
Every PR is evaluated for Risk & Resilience Coverage, leveraging your historical data to provide immediate, actionable insights from day one.