BitMiracle-AI/Dormice - Open Source PR Review Scorecard

The SQLite of agent sandboxes — self-hosted, E2B-compatible. One machine, sandboxes that live forever, idle costs nothing.

C-Rank Grade: B (Solid) - 54/100

External PR Merge Rate: 8%

Response Time: 17h

First Timer Success: 33%

Frequently Asked Questions

Is BitMiracle-AI/Dormice welcoming to first-time open-source contributors?

BitMiracle-AI/Dormice has a recorded first-timer success rate of 33.3%. Repositories ranked B 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 BitMiracle-AI/Dormice respond to incoming external pull requests in approximately 17.2 hours on average. Keeping PRs focused on single tasks and ensuring tests pass helps maintainers review faster.

What does the 53.8 C-Rank™ score (B 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 53.8 places BitMiracle-AI/Dormice in the B tier.

What is the external contributor pull request merge rate for BitMiracle-AI/Dormice?

The external contributor pull request merge rate for BitMiracle-AI/Dormice is 7.7%, based on public PR activity from non-core contributors.

Are there Good First Issues available in BitMiracle-AI/Dormice?

BitMiracle-AI/Dormice currently has 5 active issue(s) tagged with beginner-friendly labels like "good first issue", "beginner", or "up-for-grabs".

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BitMiracle-AI/Dormice

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Active (30d)B•Solid(54/100)Low Sample (<20 PRs)TypeScript

The SQLite of agent sandboxes — self-hosted, E2B-compatible. One machine, sandboxes that live forever, idle costs nothing.

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AI Maintainer Review Guidelines

Review Persona

Strict Architecture Gatekeeper

Warmth Score
7.2/10
Patience Score
8.0/10
Nitpick Rate
25%

Strict review standards in BitMiracle-AI/Dormice. Ensure PR scope matches issue requirements closely before requesting review.

What Contributors Actually Say

Discussions in BitMiracle-AI/Dormice focus heavily on practical implementation feedback, code formatting standards, and issue reproduction details.

Hidden Friction Signals

Unlinked PRs without issue context and changes that fail automated test suites face the highest review friction.

Unwritten Rules

  • •1) Keep PR scope strictly aligned with the linked issue.
  • •2) Ensure local linters pass before opening a review.
  • •3) Maintain full test coverage for modified logic.

Top PR Submission Do's

  • •Link the issue and include reproduction context in the PR
  • •Add or update tests for changed behavior before requesting review
  • •Call out API, migration, or compatibility impact clearly

Top PR Friction Pitfalls (Don'ts)

  • •Do not open context-free PRs
  • •Do not leave requested test coverage unresolved
  • •Do not hide breaking changes in implementation details
Response Velocity
17 hours
Standard maintainer review cycle

Average Response Latency

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

Merge Efficiency
7.7%
Selective PR acceptance rate

External Acceptance Rate

Percentage of community pull requests successfully merged into main.

First-Timer Success
33.3%
Accepts new contributor PRs

First PR Conversion

Rate at which developers submitting their first repository PR succeed.

Active Maintainers
3 core
Small core review team
Diagnostic Health HUD
7.7%
Merge Gauge
33.3%
1st-Timer
Community Vibe30/100

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Active Good First Issues (5)

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The problem chart-gaps.ts declares itself the single arbiter of the gap rule, and its header comment says so explicitly: 总览堆叠图与指标 tab 的走势图共用这一条规则:断在哪里只许有一种裁决 (the overview stacked chart and the metrics tab trend chart share this one rule: there may be only one ruling on where a break goes) That is currently false. grep shows only MetricsPanel.tsx imports withGapBreaks; FleetChart.tsx:64-105's toChartRows inlines a clause-for-clause reimplementation of the same algorithm — the same delta/sort/median, the same bucketSeconds-first expected interval, the same 3× threshold, the same midpoint null row. So the same invariant has two arbitration points, and any future adjustment to the gap rule has to be made in both places or the two charts silently diverge. Not a hot path — this is a pure simplification, about 30 lines removed. Proposed solution In toChartRows, map points to ChartRow as it does now, then delegate: return with

📅 Opened Jul 27, 2026💬 0 comments
Quality: 80/100Contribute

The problem GET /v2/sandboxes re-reads the runtime settings from SQLite once per row in the response. infoView (control.ts:203-227) opens with: const { sandboxDefaults } = readRuntimeSettings(db); which is a real drizzle SELECT plus view conversion (settings.ts:75-87). The list route (control.ts:649) maps infoView over the whole page, and limit goes up to 1000 (control.ts:87) — so a polled endpoint runs the same query up to 1000 times per request for a value that is per-daemon and identical for every row. Honest about the magnitude: the repo's own comments measure point reads in microseconds, so the worst case is roughly 1 ms on a 1000-row request, and the route's real cost is dominated by listSandboxes and the per-row JSON.parse. It is genuinely removable duplicate work, but the size of the win is marginal — filing it as a cleanup rather than a performance fix. Proposed solution Read once per request and pass it down: const { sandboxDefaults } = readRuntimeSettings(db) in the /v2/

📅 Opened Jul 27, 2026💬 0 comments
Quality: 80/100Contribute

The problem The SDK double-encodes string file content: TextEncoder.encode allocates a Uint8Array, then Buffer.from copies it a second time before base64. // packages/sdk/src/client.ts:583-588 (and :605-610 in writeFile) contentBase64: Buffer.from( typeof file.content === 'string' ? new TextEncoder().encode(file.content) : file.content, ).toString('base64'), Buffer.from(string) is UTF-8 encoding, and Buffer.from(Uint8Array) is the copy the code already makes — so the TextEncoder and the ternary only reimplement what Buffer.from does natively. On the file-push hot path (up to 16 MiB per file, 32 MiB decoded per batch) that is one redundant full-content allocation plus memcpy per string file. Proposed solution contentBase64: Buffer.from(file.content).toString('base64') (and Buffer.from(content) in writeFile) — the string | Uint8Array union is exactly Buffer.from's own overload set. Checked before proposing: Types: the union compiles under the repo's strict + noUncheckedInd

📅 Opened Jul 27, 2026💬 0 comments
Quality: 80/100Contribute

The problem resolvePortTarget inspects the same container twice, and the first inspect already carried the answer. // packages/server/src/executor/docker.ts:429-430 const containerId = await this.expectState(sandboxId, 'running'); const info = await this.docker.getContainer(containerId).inspect(); expectState (:1429-1450) performs a full ContainerInspect and returns only info.Id; the very next line inspects the same container again to read NetworkSettings — data the first call already had in hand. The caller is sandbox-proxy's resolveTarget, which runs once per proxied HTTP request and once per upgrade. That makes this the hottest observation verb after exec, and it doubles the engine round-trips for it: one extra engine round-trip plus a few KB of JSON parsing on every proxied connection. Proposed solution Have expectState return the full inspect payload (Promise<Docker.ContainerInspectInfo>, or { id, info }). The 16 existing call sites keep using info.Id; resolvePortTarget reads Ne

📅 Opened Jul 27, 2026💬 0 comments
Quality: 80/100Contribute

What happened dor sandbox exec -t parses its argument with a bare Number(), so a non-numeric value becomes NaN and the command dies with an internal AbortSignal error that never mentions the flag. $ dor sandbox exec my-key 'sleep 600' -t 10m dor: The value of "delay" is out of range. It must be an integer. Received NaN // packages/cli/src/main.ts:68-72 .option( '-t, --timeout <seconds>', 'kill the command after this many seconds', (value: string) => Number(value), ) NaN is not nullish, so the ?? DEFAULT at client.ts:552-553 does not apply; timeoutMs becomes NaN and AbortSignal.timeout(NaN) (client.ts:657) throws. Reproduced on Node 26. Expected: a typo in a flag is named at the flag — the standard clientFromEnv sets for itself, naming a missing variable right there rather than letting it surface later as a confusing error. Got: an undici/AbortSignal implementation detail, and the command is refused before any request is made. No state damage. commands.test.ts has no coverage of

📅 Opened Jul 27, 2026💬 1 comment
Quality: 80/100Contribute
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Contributor Compatibility & Review Speed Analysis for BitMiracle-AI/Dormice

When evaluating whether to contribute to BitMiracle-AI/Dormice, 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 BitMiracle-AI/Dormice acknowledge new external contributions in approximately 17 hours. Out of all submitted pull requests from non-core authors in the last 180-day window, 7.7% were successfully merged into the primary branch.

Frequently Asked Questions - Contributing to BitMiracle-AI/Dormice

01

Is BitMiracle-AI/Dormice welcoming to first-time open-source contributors?

BitMiracle-AI/Dormice has a recorded first-timer success rate of 33.3%. Repositories ranked Solid 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 ~17 hours. Keeping PRs scoped to single concerns and ensuring CI checks succeed will optimize review turnaround.

03

What does the 53.8 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 53.8 places BitMiracle-AI/Dormice in the Solid tier.

04

What is the external contributor pull request merge rate for BitMiracle-AI/Dormice?

The external pull request merge rate is 7.7%. 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 BitMiracle-AI/Dormice?

Yes, BitMiracle-AI/Dormice currently has 5 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 BitMiracle-AI/Dormice 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.