LBALab/lba2-classic-community - Open Source PR Review Scorecard

Community-maintained source port of the original Little Big Adventure 2 (Twinsen’s Odyssey) engine.

C-Rank Grade: S (Elite) - 76/100

External PR Merge Rate: 90%

Response Time: 21h

First Timer Success: 100%

Frequently Asked Questions

Is LBALab/lba2-classic-community welcoming to first-time open-source contributors?

LBALab/lba2-classic-community has a recorded first-timer success rate of 100.0%. Repositories ranked S 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 LBALab/lba2-classic-community respond to incoming external pull requests in approximately 20.6 hours on average. Keeping PRs focused on single tasks and ensuring tests pass helps maintainers review faster.

What does the 75.5 C-Rank™ score (S 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 75.5 places LBALab/lba2-classic-community in the S tier.

What is the external contributor pull request merge rate for LBALab/lba2-classic-community?

The external contributor pull request merge rate for LBALab/lba2-classic-community is 90.4%, based on public PR activity from non-core contributors.

Are there Good First Issues available in LBALab/lba2-classic-community?

LBALab/lba2-classic-community currently has 3 active issue(s) tagged with beginner-friendly labels like "good first issue", "beginner", or "up-for-grabs".

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LBALab/lba2-classic-community

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SElite(76/100)C++

Community-maintained source port of the original Little Big Adventure 2 (Twinsen’s Odyssey) engine.

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AI Maintainer Review Guidelines

Review Persona

Welcoming Community Builder

Warmth Score
9.1/10
Patience Score
8.8/10
Nitpick Rate
40%

Highly welcoming maintainers in LBALab/lba2-classic-community. Prompt code reviews with positive guidance for new contributors.

Top PR Submission Do's

  • Ensure code complies with the project coding style
  • Keep PRs scoped to a single concern
  • Include context and link to the related issue

Top PR Friction Pitfalls (Don'ts)

  • Do not submit PRs without linking an issue
  • Do not break existing tests without fixing them
  • Do not mix unrelated refactors in a single PR
Response Velocity
20 hours
Standard maintainer review cycle

Average Response Latency

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

Merge Efficiency
90.4%
High acceptance rate for external PRs

External Acceptance Rate

Percentage of community pull requests successfully merged into main.

First-Timer Success
100.0%
Strong first-timer PR acceptance rate

First PR Conversion

Rate at which developers submitting their first repository PR succeed.

Active Maintainers
7 core
Highly collaborative maintainer core
Diagnostic Health HUD
90.4%
Merge Gauge
100.0%
1st-Timer
Community Vibe81/100

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Active Good First Issues (3)

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Reported by EPmager against the 14 Aug build (99c99ab), Windows, retail GOG data. gfx_dither does soften the 16-step ramp banding on terrain shade elements, but on evenly lit surfaces it lays down an observable checkerboard, which blurs into interlaced horizontal lines while the auto camera moves. EPmager asks that it not be turned on by default until the checkerboarding is reduced. The default is already 0 (LIB386/pol_work/POLYGTEX.CPP:36, and docs/GFX_OPTIONS.md documents all three gfx options as off), and has been since the option landed in 817dda1. Recording the ask so it stays that way. Why the pattern is visible GTEX_ShadeRow (LIB386/pol_work/POLYGTEX.CPP:45) promotes a pixel by one whole shade row when the Gouraud sub-row fraction beats a 4x4 Bayer threshold: if (level < 15 && (decZ_gour & 0xFF) > GTEX_Bayer4[((py & 3) << 2) | (px & 3)]) level++; Two properties follow from that, and they are the two symptoms in the report: The amplitude is a full shade row. The dither's job

📅 Opened Aug 16, 2026💬 0 comments
Quality: 90/100Contribute

Reported by EPmager against the 14 Aug build (99c99ab), Windows, retail GOG data. With LBA2_ISO_DIV set, the Display submenu's Resolution row shows the divided interior render size while the player is standing in an interior, so it reads as though their resolution has changed. Someone opening the menu to check what their full resolution is gets the scaled one instead. What happens Display_FormatCurrentLabel and Display_FindCurrentEntry both read ModeDesiredX / ModeDesiredY (SOURCES/RES_MENU.CPP:46 and SOURCES/RES_MENU.CPP:63). Those hold whatever the current scene is rendering at, and an interior with LBA2_ISO_DIV=2 renders at half the chosen size. Two visible effects, both confined to interiors: The Resolution: <value> row reads 640x360 for a player who chose 1280x720. The divided size is usually not a catalog entry either, so the label falls to the bare %ux%u branch and loses the (Classic) tag in the case where it applies. The resolution sub-page's green "current" marker lands on no

📅 Opened Aug 16, 2026💬 0 comments
Quality: 90/100Contribute

Follow-up to issue #176 and PR #251. Symptom In the cold-start attract reel (SHIFT+D from the main menu, idle attract, or the SlideDemo debug entry), cube 201 — the Desert Island "bat scene" — sometimes derails in interactive variable-dt play. The RNG-driven bat can collide with Twinsen and snag him off his authored track. The scripted SET_CUBE opcode that ends the scene then never fires, and the reel sits indefinitely on a stuck hero until the #251 watchdog fires. Observed on macOS during PR #251 development. Whether the derail is Mac-only or also reproduces on Linux / Windows interactive runs at certain CPU speeds is not currently established — the harness path (where reproduction would normally be pinned) plays cleanly post-#251 because the canonical RNG seed is deterministic. The remaining divergence is in the interactive variable-dt cadence path, which is exactly the path our regression tests don't cover. Reproduction reports from any platform welcome. If you've seen the att

📅 Opened May 28, 2026💬 0 comments
Quality: 80/100Contribute
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Contributor Compatibility & Review Speed Analysis for LBALab/lba2-classic-community

When evaluating whether to contribute to LBALab/lba2-classic-community, 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 LBALab/lba2-classic-community acknowledge new external contributions in approximately 20 hours. Out of all submitted pull requests from non-core authors in the last 180-day window, 90.4% were successfully merged into the primary branch.

Frequently Asked Questions - Contributing to LBALab/lba2-classic-community

01

Is LBALab/lba2-classic-community welcoming to first-time open-source contributors?

LBALab/lba2-classic-community has a recorded first-timer success rate of 100.0%. Repositories ranked Elite 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 ~20 hours. Keeping PRs scoped to single concerns and ensuring CI checks succeed will optimize review turnaround.

03

What does the 75.5 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 75.5 places LBALab/lba2-classic-community in the Elite tier.

04

What is the external contributor pull request merge rate for LBALab/lba2-classic-community?

The external pull request merge rate is 90.4%. 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 LBALab/lba2-classic-community?

Yes, LBALab/lba2-classic-community currently has 3 active issue(s) tagged with beginner-friendly labels. You can inspect these directly from the repository issues tab.

GetMerged C-Rank™ Indexing Standard

All metrics displayed for LBALab/lba2-classic-community 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.