Redfi | Engineering Intelligence

Engineers:

Commits

PRs Merged

Lines Added

Lines Deleted

PRs Reviewed

Avg Cycle Time

Active Engineers

Repos Active

Team Output Trends

DORA Metrics

Deploy Frequency -

Releases to production

Lead Time -

Avg hours from PR open to merge

Review Coverage -

Reviews / PRs opened ratio

Change Failure Rate -

Reverts / PRs merged ratio

Velocity & Leaders

Commit Velocity

- -

- Commits

- PRs Merged

- Reviewed

- +Lines

- -Lines

- Fastest Cycle

- Largest PRs

- Most Repos

# ↕	Engineer ↕	Rating ↕	Commits ↕	Merged ↕	Opened ↕	Reviewed ↕	+Lines ↕	-Lines ↕	PR Size ↕	Trend ↕	Cycle ↕	Qual ↕	Sec ↕	Rev ↕	CFR% ↕	Days ↕	Repos ↕	Upd ↕
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Avg Scores

Code Quality -

Security -

Performance -

PRs with Tests -

Quality Highlights

- Quality

- Security

- Performance

- Tests

- Most PRs

Quality Trends

⚠️ Common Concerns

No concerns data yet

✓ Common Positives

No positives data yet

Analyzed Pull Requests

0 PRs analyzed

PR	Author	Quality	Security	Perf	Tests	Summary
No quality data yet

Engineer Trends

Top Contributors

Repository Activity Over Time

Activity by Repository

Repository Breakdown

Top Contributors by Repo

Repo Knowledge (Bus Factor)

Activity Metrics

Direct measurements of engineering output from GitHub.

Commits

Total commits pushed to any branch.

Source: GitHub Search API (commits)
Query: org:montauklabs committer-date:{start}..{end}

PRs Merged

Pull requests successfully merged into target branch.

Source: GitHub Search API (issues/PRs)
Query: org:montauklabs type:pr merged:{start}..{end}

PRs Opened

New pull requests created during the week.

Source: GitHub Search API
Query: org:montauklabs type:pr created:{start}..{end}

PRs Reviewed

PRs where the engineer submitted a review.

Source: GitHub Search API
Query: org:montauklabs type:pr reviewed-by:{username}

DORA Metrics

Industry-standard metrics from DevOps Research and Assessment for measuring software delivery performance.

Deployment Frequency

How often code is released to production.

Source: GitHub Releases API
Repos tracked: mobianx-frontend, video-brand-safety, context-api, persona-api
Calculation: Count of releases published within the week

Lead Time for Changes

Time from first commit to production deployment.

Source: GitHub PR API (proxy)
Calculation: Average time from PR opened to PR merged
Note: True lead time would require commit → deploy tracking

Review Coverage

Percentage of PRs that receive code review.

Calculation: (PRs Reviewed / PRs Opened) × 100

Code Quality Scores

AI-powered analysis of merged pull requests using Claude to evaluate code quality across multiple dimensions.

Quality Score (1-10)

Overall code quality assessment including readability, maintainability, and best practices.

Factors: Code structure, naming conventions, DRY principles,
error handling, documentation, complexity management

Security Score (1-10)

Assessment of security practices and potential vulnerabilities.

Factors: Input validation, authentication checks, SQL injection,
XSS prevention, secrets handling, dependency risks

Performance Score (1-10)

Evaluation of code efficiency and performance considerations.

Factors: Algorithm efficiency, database query optimization,
memory usage, caching opportunities, async patterns

Test Coverage

Whether the PR includes test files or test modifications.

Detection: Files matching *test*, *spec*, __tests__
Boolean: Yes/No indicator per PR

Concerns & Positives

Specific issues flagged and good practices identified by the AI reviewer.

Source: Claude analysis of PR diff content
Aggregated across all analyzed PRs for pattern detection

Code Metrics

Measurements of code volume and change patterns.

Lines Added (+Lines)

New lines of code added across all merged PRs.

Source: GitHub PR Detail API
Field: additions (summed across merged PRs)

Lines Deleted (-Lines)

Lines of code removed across all merged PRs.

Source: GitHub PR Detail API
Field: deletions (summed across merged PRs)

PR Size

Average lines changed per pull request.

Calculation: (Lines Added + Lines Deleted) / PRs Merged
Note: Smaller PRs are generally better for review quality

Cycle Time

Average hours from PR opened to merged.

Calculation: Average of (merged_at - created_at) for each PR
Lower is generally better (faster iteration)

Engagement & Velocity

Patterns of activity, consistency, and team momentum.

Commit Velocity

Average commits per week with week-over-week trend.

Calculation: Total commits / Number of weeks
Trend: ((Current week - Previous week) / Previous week) × 100
↑ = accelerating, ↓ = decelerating

Days Active

Number of unique days with commits or PR activity.

Calculation: Count of unique dates with commits/PRs
Max: 7 days per week

Repos Touched

Number of different repositories with activity.

Calculation: Unique repo names from commits and PRs

Weekly Update

Self-reported summary submitted by engineer.

Source: wdygd_updates table
Submitted via: wdygd.html form

Engineer Ratings & Trends

AI-generated performance assessments and trend indicators.

Rating

AI-generated performance rating based on activity patterns.

Levels: CRUSHING IT > SOLID > RAMPING > ATTENTION > CONCERN
Factors: Commit volume, PR activity, code quality, consistency
Source: wdygd_engineer_analysis table

PR Size Trend

Week-over-week change in average PR size.

Calculation: ((This week avg - Last week avg) / Last week avg) × 100
Green (decreasing) = smaller PRs (good)
Orange (increasing) = larger PRs (watch)

Reverts

Number of this engineer's PRs that were subsequently reverted.

Detection: PRs with title "Revert" + body "Reverts #123"
Source: wdygd_reverts table
Tracked: Original author, reverter, time to revert

PR Lifecycle Timing

Detailed breakdown of time spent in each stage of the PR process.

Time to First Review

Average hours from PR opened until first review is submitted.

Calculation: first_review_at - created_at
Lower is better (faster feedback loop)

Time to Approval

Average hours from PR opened until approved.

Calculation: approved_at - created_at
Includes time for revisions and re-reviews

Approval to Merge

Average hours from approval to merge.

Calculation: merged_at - approved_at
High values may indicate deployment bottlenecks

Cycle Time (Total)

Total time from PR opened to merged.

Calculation: merged_at - created_at
= Time to Review + Review Time + Approval to Merge

Repository Metrics

Insights into repository activity distribution and health.

Activity by Repository

Distribution of commits across repositories.

Source: repos_touched field aggregated per engineer
Visualization: Donut chart showing relative activity

Top Contributors

Engineers with most commits per repository.

Calculation: Sum commits by engineer per repo
Shows top 3 contributors for each repo

Repo Knowledge (Bus Factor)

Measures how many people have working knowledge of each repository - the "bus factor" risk.

Low Risk: 4+ active contributors
Medium: 2-3 active contributors
High Risk: Only 1 contributor (single point of failure)

Data Sources

GitHub APIs

• Search API (commits, PRs)
• Pull Requests API (details, diffs)
• Releases API (deployments)
• Reviews API (timing, approvals)

Engineer Submissions

• Weekly updates
• Highlights and accomplishments
• Blockers and focus areas

Team Output Trends

DORA Metrics

Velocity & Leaders

Avg Scores

Quality Highlights

Quality Trends

⚠️ Common Concerns

✓ Common Positives

Analyzed Pull Requests

Engineer Trends

Top Contributors

Repository Activity Over Time

Activity by Repository

Repository Breakdown

Top Contributors by Repo

Repo Knowledge (Bus Factor)

Activity Metrics

DORA Metrics

Code Quality Scores

Code Metrics

Engagement & Velocity

Engineer Ratings & Trends

PR Lifecycle Timing

Repository Metrics

Data Sources

Engineer Details