rohitg00/ai-engineering-from-scratch - Open Source PR Review Scorecard

Learn AI Engineering! Learn it. Build it. Ship it for others.

C-Rank Grade: A (Welcoming) - 60/100

External PR Merge Rate: 48%

Response Time: -

First Timer Success: 15%

Frequently Asked Questions

Is rohitg00/ai-engineering-from-scratch welcoming to first-time open-source contributors?

rohitg00/ai-engineering-from-scratch has a recorded first-timer success rate of 15.4%. Repositories ranked A typically provide actionable feedback during code reviews and actively nurture new community contributors.

How fast can I expect code review feedback on my pull request?

Maintainers in rohitg00/ai-engineering-from-scratch respond to incoming external pull requests in approximately 0.0 hours on average. Keeping PRs focused on single tasks and ensuring tests pass helps maintainers review faster.

What does the 60.0 C-Rank™ score (A Tier) represent?

The C-Rank™ system evaluates GitHub projects on a 0–100 scale using real data: PR merge rates, review turnaround time, active maintainer presence, and first-time contributor success. A score of 60.0 places rohitg00/ai-engineering-from-scratch in the A tier.

What is the external contributor pull request merge rate for rohitg00/ai-engineering-from-scratch?

The external contributor pull request merge rate for rohitg00/ai-engineering-from-scratch is 48.4%, based on public PR activity from non-core contributors.

Are there Good First Issues available in rohitg00/ai-engineering-from-scratch?

rohitg00/ai-engineering-from-scratch does not currently have active "good first issue" tags indexed, but accepts external contributions through standard GitHub issue tracking.

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rohitg00/ai-engineering-from-scratch

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Active (30d)A•Welcoming(60/100)Python

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AI Maintainer Review Guidelines

Review Persona

Strict Quality Architect

Warmth Score
6.6/10
Patience Score
7.2/10
Nitpick Rate
43%

Rigorous architecture standards (66% critical review signals). Ensure PRs strictly follow guidelines before requesting review in rohitg00/ai-engineering-from-scratch.

Top PR Submission Do's

  • •Add unit tests with >80% coverage for modified code paths
  • •Run repository linter and code formatters locally before pushing
  • •Link relevant GitHub issue ID in PR description pre-flight checklist

Top PR Friction Pitfalls (Don'ts)

  • •Do not submit unlinked PRs without referencing an existing issue
  • •Do not mix refactoring and feature logic into a single commit
  • •Do not ping maintainers repeatedly within 24 hours of opening
Response Velocity
-
No reviewer activity recorded

Average Response Latency

Tracks hours until a maintainer leaves a review, comment, or PR response.

Merge Efficiency
48.4%
Moderate PR acceptance rate

External Acceptance Rate

Percentage of community pull requests successfully merged into main.

First-Timer Success
15.4%
Accepts new contributor PRs

First PR Conversion

Rate at which developers submitting their first repository PR succeed.

Active Maintainers
31 core
Highly collaborative maintainer core
Diagnostic Health HUD
48.4%
Merge Gauge
15.4%
1st-Timer
Community Vibe24/100

Embed C-Rank Badge

Show contributors that your repository actively reviews and merges external pull requests.

GetMerged C-Rank badge for rohitg00/ai-engineering-from-scratch
[![GetMerged C-Rank](https://getmerged.abhishekco.de/api/badge/rohitg00/ai-engineering-from-scratch)](https://getmerged.abhishekco.de/rohitg00/ai-engineering-from-scratch?utm_source=github&utm_medium=badge)

Active Good First Issues (1)

View on GitHub

I love the work of the creator of MakingSoftware, and I used his design style for the website. Building on that direction, we should keep adding striking visuals and animations. We should enhance the ai-engineering-from-scratch website with rich diagrams and subtle animations inspired by [makingsoftware.com](https://www.makingsoftware.com/). refs The goal is to explain complex AI engineering concepts visually (systems, data flows, training loops, deployment pipelines) without distracting from the reading experience. [refs](https://refs.gallery/projects/makingsoftware) Motivation / Why Visual explanations help learners understand complex systems faster than text alone. [bool](https://bool.dev/blog/detail/animated-architecture-diagrams) Animated diagrams can illustrate flows (data movement, requests, training steps) much more clearly than static images. [bool](https://bool.dev/blog/detail/animated-architecture-diagrams) MakingSoftware shows there is appetite for a “beautiful, illustra

📅 Opened Jun 1, 2026💬 12 comments
Quality: 70/100Contribute
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Contributor Community Vibe Feedback

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Contributor Compatibility & Review Speed Analysis for rohitg00/ai-engineering-from-scratch

When evaluating whether to contribute to rohitg00/ai-engineering-from-scratch, response velocity and maintainer engagement are crucial. GetMerged continuously tracks pull request trajectories, first-comment latency, and code review rounds to help developers avoid submitting pull requests to backlogged repositories.

Currently, maintainers of rohitg00/ai-engineering-from-scratch acknowledge new external contributions in approximately -. Out of all submitted pull requests from non-core authors in the last 180-day window, 48.4% were successfully merged into the primary branch.

Frequently Asked Questions - Contributing to rohitg00/ai-engineering-from-scratch

01

Is rohitg00/ai-engineering-from-scratch welcoming to first-time open-source contributors?

rohitg00/ai-engineering-from-scratch has a recorded first-timer success rate of 15.4%. Repositories ranked Welcoming typically provide actionable feedback during code reviews and actively nurture new community contributors.

02

How fast can I expect code review feedback on my pull request?

The initial maintainer response time averages ~-. Keeping PRs scoped to single concerns and ensuring CI checks succeed will optimize review turnaround.

03

What does the 60.0 C-Rank™ score represent?

The C-Rank™ index scores repositories on a 0 to 100 scale using an objective formula: external PR merge rates, initial response speed, active maintainer count, and first-time contributor retention. A score of 60.0 places rohitg00/ai-engineering-from-scratch in the Welcoming tier.

04

What is the external contributor pull request merge rate for rohitg00/ai-engineering-from-scratch?

The external pull request merge rate is 48.4%. GetMerged isolates non-core community contributions so external developers get an accurate benchmark of PR acceptance probability.

05

Are there beginner Good First Issues open in rohitg00/ai-engineering-from-scratch?

rohitg00/ai-engineering-from-scratch does not have open beginner labels indexed currently, but external PRs for bugs and documentation improvements are evaluated via normal issue triage.

GetMerged C-Rank™ Indexing Standard

All metrics displayed for rohitg00/ai-engineering-from-scratch are automatically retrieved via the public GitHub API and recalculated daily. Insider pull requests submitted by repository owners or organization members are excluded from merge rate calculations to preserve objective external contributor statistics.