rocketride-org/rocketride-server - Open Source PR Review Scorecard

High-performance AI pipeline engine with a C++ core and 50+ Python-extensible nodes. Build, debug, and scale LLM workflows with 13+ model providers, 8+ vector databases, and agent orchestration, all from your IDE. Includes VS Code extension, TypeScript/Python SDKs, and Docker deployment.

C-Rank Grade: S (Elite) - 70/100

External PR Merge Rate: 62%

Response Time: -

First Timer Success: 35%

Frequently Asked Questions

Is rocketride-org/rocketride-server welcoming to first-time open-source contributors?

rocketride-org/rocketride-server has a recorded first-timer success rate of 35.2%. 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 rocketride-org/rocketride-server 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 70.1 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 70.1 places rocketride-org/rocketride-server in the S tier.

What is the external contributor pull request merge rate for rocketride-org/rocketride-server?

The external contributor pull request merge rate for rocketride-org/rocketride-server is 61.8%, based on public PR activity from non-core contributors.

Are there Good First Issues available in rocketride-org/rocketride-server?

rocketride-org/rocketride-server currently has 8 active issue(s) tagged with beginner-friendly labels like "good first issue", "beginner", or "up-for-grabs".

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rocketride-org/rocketride-serverS•Elite17.8k
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rocketride-org/rocketride-server

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Active (30d)S•Elite(70/100)Python

High-performance AI pipeline engine with a C++ core and 50+ Python-extensible nodes. Build, debug, and scale LLM workflows with 13+ model providers, 8+ vector databases, and agent orchestration, all from your IDE. Includes VS Code extension, TypeScript/Python SDKs, and Docker deployment.

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AI Maintainer Review Guidelines

Review Persona

Strict Quality Architect

Warmth Score
7.2/10
Patience Score
7.7/10
Nitpick Rate
35%

Balanced & professional review environment in rocketride-org/rocketride-server. Maintains strict focus on technical quality and test standards.

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
61.8%
Moderate PR acceptance rate

External Acceptance Rate

Percentage of community pull requests successfully merged into main.

First-Timer Success
35.2%
Accepts new contributor PRs

First PR Conversion

Rate at which developers submitting their first repository PR succeed.

Active Maintainers
43 core
Highly collaborative maintainer core
Diagnostic Health HUD
61.8%
Merge Gauge
35.2%
1st-Timer
Community Vibe35/100

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Active Good First Issues (5)

View on GitHub

Problem Statement Gjalla does software-architecture observability and AI-coding-agent oversight — keeping humans in control as agent-written code evolves. RocketRide agents and pipelines have no node to query it or push to it, so pipelines that want architecture/spec state or drift findings as context have to hand-roll HTTP calls. Proposed Solution Add a tool_gjalla agent-tool node (classType tool, register filter), mirroring nodes/src/nodes/tool_github/ (same file layout: IGlobal.py, IInstance.py, client module, services.json, README.md, svg, requirements.txt). Known integration surface: API host: https://api.gjalla.io, API-key auth Official Python package exists on PyPI (gjalla) — evaluate wrapping it vs. calling the REST API directly; prefer the thinner dependency Discovery step first (their public API docs are thin): before coding, enumerate the endpoints the gjalla PyPI package calls (spec upload, architecture/requirements queries, agent-session reporting) and post the propo

📅 Opened Sep 14, 2026💬 1 comment
Quality: 90/100Contribute

Problem Statement RocketRide pipelines and agents currently have no way to pull code-review intelligence: a pipeline that assembles an engineering status report, or an agent asked "what did code review flag this sprint," has no node to call. CodeRabbit exposes exactly this over a small REST API. Proposed Solution Add a tool_coderabbit agent-tool node (classType tool, register filter), mirroring the existing tool_github node (nodes/src/nodes/tool_github/ — same file layout: IGlobal.py, IInstance.py, <name>_client.py, services.json, README.md, svg, requirements.txt). API basis (documented at https://docs.coderabbit.ai/api-reference/report-generate): Base URL: https://api.coderabbit.ai/api/v1 Auth: x-coderabbitai-api-key header (config field, secret) Core operation: POST /report.generate — developer-activity / review reports over a date range, with prompt template, grouping, and parameter filters Suggested tool operations (exposed to agents): generate_report — from/to dates, opti

📅 Opened Sep 14, 2026💬 2 comments
Quality: 90/100Contribute

body.id looks like an identifier and is not one. It is a pipe slot the engine reuses. Identity throughout is the begin event's continuum seq — that is what the run archive is keyed by, what an answer carries in chat, and what getTrace and traceSlice resolve. Filed from section 4.3 of the Rocket CRM runtime findings (docRevision 252). Part of the Rocket CRM build tracked in rocketride-ai/rocketride-saas#456. Mechanism A field named id on an event body reads as the event's or the run's identity. Keying anything on it produces collisions that look like data corruption, because a later run reuses the slot. Nothing at the point of use says otherwise. What we do today Key everything on the begin event's continuum seq, and never touch body.id. Ask Rename it, or document it at the point of use — a one-line fix upstream against a multi-hour debugging session for every app that assumes otherwise. Related #131, #133 (both closed) — document the apaevt_flow shape {id, op, pipes[], trace} fo

📅 Opened Aug 24, 2026💬 1 comment
Quality: 100/100Contribute

Description get_task_status() makes three different promises about what it returns, and they disagree. packages/client-python/src/rocketride/mixins/execution.py: async def get_task_status(self, token: str) -> TASK_STATUS: """ Returns: Dict containing status information: - state: Current execution state ... Example: status = await client.get_task_status(token) state = status.get('state') """ return await self.call('rrext_get_task_status', token=token) The annotation says TASK_STATUS, which is a pydantic BaseModel (types/task.py:295). The docstring and its example say Dict and call .get(), which a BaseModel does not have. The body returns whatever self.call() yields, validated into neither. A caller following the docstring writes status.get('state'); a caller following the type hint writes status.state. Only one can work at a time and nothing says which. We hit this in an ingest health check: handling one shape reported state=None compl

📅 Opened Aug 15, 2026💬 1 comment
Quality: 40/100Contribute

Description packages/docs/scripts/lib/gather.js skips any node README that does not contain the <!-- ROCKETRIDE:GENERATED:PARAMS START --> marker, treating it as prose rather than a documentation page: if (!content.includes(GENERATED_START)) continue; // legacy README, not a doc nodes/scripts/gen-node-tables.mjs applies the same rule in resolveDocPath(), returning null unless the README already carries the marker. Four nodes have no markers, so they are skipped by both. They have no page on the docs site at all, and their reference blocks are never generated: cloud_tts (2 services) landing_ai (2 services) tool_mem0 (1 service) tool_n8n (1 service) All four are registered, shipping nodes with services*.json, so each has configurable parameters that users cannot currently discover from the documentation. 114 of the other 118 node READMEs carry the markers and publish normally. The generator reports this only as a silent count — skipped 17 without a co-located doc — with no indicat

📅 Opened Aug 15, 2026💬 3 comments
Quality: 50/100Contribute
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Contributor Compatibility & Review Speed Analysis for rocketride-org/rocketride-server

When evaluating whether to contribute to rocketride-org/rocketride-server, 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 rocketride-org/rocketride-server acknowledge new external contributions in approximately -. Out of all submitted pull requests from non-core authors in the last 180-day window, 61.8% were successfully merged into the primary branch.

Frequently Asked Questions - Contributing to rocketride-org/rocketride-server

01

Is rocketride-org/rocketride-server welcoming to first-time open-source contributors?

rocketride-org/rocketride-server has a recorded first-timer success rate of 35.2%. 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 ~-. Keeping PRs scoped to single concerns and ensuring CI checks succeed will optimize review turnaround.

03

What does the 70.1 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 70.1 places rocketride-org/rocketride-server in the Elite tier.

04

What is the external contributor pull request merge rate for rocketride-org/rocketride-server?

The external pull request merge rate is 61.8%. 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 rocketride-org/rocketride-server?

Yes, rocketride-org/rocketride-server currently has 8 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 rocketride-org/rocketride-server 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.