Nomination Evidence: can-anyscale

Project: ray-project/ray Period: 2025-03-01 to 2026-03-01

Summary

can-anyscale contributes both code (210 PRs) and reviews (174 reviews), with a strong focus on welcoming newcomers (31 first-timer PR reviews), 46 of 142 authored PRs scored as high-complexity.

Highlights

• 319 commits, 140 PRs merged, 174 PRs reviewed, 852 review comments | https://github.com/ray-project/ray/commits?author=can-anyscale
• Drove PR #53231 ([core][telemetry/06] record gauge metric e2e), 8 review rounds: https://github.com/ray-project/ray/pull/53231
• Review on PR #56726 (Add pydantic model to maintain compatibility across reporter_agent and node_head): "qq: why this change?..." https://github.com/ray-project/ray/pull/56726
• PR #56432 ([core] enable open telemetry by default): 61 days to merge: https://github.com/ray-project/ray/pull/56432
• Review comment on PR #55780 ([core] Refactor aggregator agent to support multiple publish destination and richer metrics): "How long is PUBLISHER_MAX_BUFFER_SEND_INTERVAL_SECONDS? Unless that value is in milliseconds, it might already serve as..." https://github.com/ray-project/ray/pull/55780

Contribution statistics

Code contributions (GitHub)

• PRs opened: 210
• PRs merged: 140
• Lines added: 17,049
• Lines deleted: 10,087
• Commits: 319

Code review

• PRs reviewed: 174
• Review comments given: 852
• Issue comments: 261
  • APPROVED: 136 (47%)
  • CHANGES_REQUESTED: 2 (0%)
  • COMMENTED: 147 (51%)

Composite score

Review relationships

People this contributor reviews most

• sampan-s-nayak: 67 reviews
• edoakes: 49 reviews
• alanwguo: 15 reviews
• omatthew98: 14 reviews
• MengjinYan: 13 reviews
• dayshah: 13 reviews
• tianyi-ge: 11 reviews
• jjyao: 7 reviews
• israbbani: 6 reviews
• iamjustinhsu: 6 reviews

People who review this contributor's PRs most

• edoakes: 151 reviews
• gemini-code-assist[bot]: 115 reviews
• jjyao: 108 reviews
• dayshah: 65 reviews
• MengjinYan: 64 reviews
• cursor[bot]: 53 reviews
• sampan-s-nayak: 44 reviews
• raulchen: 23 reviews
• ZacAttack: 21 reviews
• copilot-pull-request-reviewer[bot]: 19 reviews

Newcomer welcoming

can-anyscale reviewed 31 PRs from contributors with 3 or fewer PRs in the project, including arki05, wph95, 22quinn, eric-higgins-ai, carolynwang and 5 others.

Community health profile

Relational metrics: how this contributor strengthens the community beyond code output.

• Net reviewer ratio: 0.8x
• Interaction breadth: 60 unique contributors (concentration: 24%)
• Newcomer welcoming: 31 reviews on PRs from contributors with 3 or fewer PRs
  • Names: arki05, wph95, 22quinn, eric-higgins-ai, carolynwang, alvidofaisal, n-elia, x-tong, HollowMan6, rkooo567
• Helping ratio: 41% of GitHub comments directed at others' PRs
• Review depth: 1.6 comments/review, 31% questions (457 comments on 285 reviews)
• Stewardship: 31% of work is maintenance (153/501 PRs: 72 authored, 81 reviewed)
• Consistency: 72% (38/53 weeks active)
• Feedback responsiveness: 29% iteration rate, 23.6h median turnaround, 48% reply rate (137 PRs with feedback)

Complexity of authored work

• PRs scored: 142
• High complexity (>= 0.5): 46
• Low complexity (< 0.5): 96
• Average complexity: 0.329

Highest-complexity authored PRs

• PR #53231 ([core][telemetry/06] record gauge metric e2e)
  • Complexity score: 0.748
  • Probing ratio: 54.5%
  • Review rounds: 8
  • Probing topics: thread safe, add a comment, test other error
• PR #55032 ([core][1eventx/01] job event: add schema for driver job event)
  • Complexity score: 0.733
  • Probing ratio: 33.3%
  • Review rounds: 23
  • Probing topics: we store, backward compatibility
• PR #58952 ([core] fix leaking metric recorder in tests)
  • Complexity score: 0.719
  • Probing ratio: 42.9%
  • Review rounds: 10
  • Probing topics: race condition, concurrently, consider throwing an, race conditions
• PR #53745 ([core] upgrade opentelemetry-sdk)
  • Complexity score: 0.706
  • Probing ratio: 33.3%
  • Review rounds: 14
• PR #53209 ([core][telemetry/04] register and record metrics on worker side)
  • Complexity score: 0.696
  • Probing ratio: 24.1%
  • Review rounds: 31
  • Probing topics: next metrics polling, error handling, add the function, add comments to

Quality of review contributions

Probing review comments (expressing uncertainty, challenging assumptions): 52

Most significant probing reviews (on highest-complexity PRs)

• PR #53231 ([core][telemetry/06] record gauge metric e2e, score 0.748)
  • Comment: "> Should we move the following lines all to the else clause as those are OpenCen..."
• PR #55032 ([core][1eventx/01] job event: add schema for driver job event, score 0.733)
  • Topics: backward compatibility
  • Comment: "discuss offline with @MengjinYan, I'll add comments on top of any message that r..."
• PR #53209 ([core][telemetry/04] register and record metrics on worker side, score 0.696)
  • Comment: "i'm using lower case since this is a private function; not sure if this is our a..."
• PR #56566 ([core][1eventx/06] node event: add DRAINING state, score 0.680)
  • Topics: default to active
  • Comment: "If we split them into IDLE and ACTIVE, but currently have no way to distinguish ..."
• PR #56726 (Add pydantic model to maintain compatibility across reporter_agent and node_head, score 0.672)
  • Comment: "qq: why this change?"

Highest-judgment review comments (on others' PRs)

(Selected by length, technical content, and presence of questions)

• PR #55780 ([core] Refactor aggregator agent to support multiple publish destination and richer metrics) | https://github.com/ray-project/ray/pull/55780#discussion_r2319972404
  • File: python/ray/dashboard/modules/aggregator/multi_consumer_event_buffer.py
  • "How long is PUBLISHER_MAX_BUFFER_SEND_INTERVAL_SECONDS? Unless that value is in milliseconds, it might already serve as the effective sleep interval in the while loop, meaning you don’t need an extra asyncio.sleep(x) between iterations? In the Phase 2 implementation of wait_for_batch, the logic i"
• PR #53678 (Add tpu usage metrics to reporter_agent) | https://github.com/ray-project/ray/pull/53678#discussion_r2146117089
  • File: python/ray/dashboard/modules/reporter/reporter_agent.py
  • "Still try to wrap my head around this condition len(merged_tpu_utilizations) > index: - is it correct to say that the list of samples are sorted by index, so when the first sample of a new index is observed, merged_tpu_utilizations will switch mode to create a new TpuUtilizationInfo object, and"
• PR #55780 ([core] Refactor aggregator agent to support multiple publish destination and richer metrics) | https://github.com/ray-project/ray/pull/55780#discussion_r2323984974
  • File: python/ray/dashboard/modules/aggregator/multi_consumer_event_buffer.py
  • "I think so, the current reporting interval to GCS is 1s (https://github.com/ray-project/ray/blob/master/src/ray/common/ray_config_def.h#L457 ). Let’s keep the same value here; 1s should als"
• PR #55781 ([core] Support publishing events from aggregator to gcs) | https://github.com/ray-project/ray/pull/55781#discussion_r2349952781
  • File: python/ray/dashboard/modules/aggregator/publisher/async_publisher_client.py
  • "This part is tricky - do we need to synchronize the set of tasks referenced by events and task_events_metadata? For example, if task_events_metadata contains metadata for task_01 and task_02, but events refers to task_03, could that cause issues in GCS? Since events and `task_events"
• PR #56880 ([core] Run state api and task event tests using both existing and new event aggregator based flows) | https://github.com/ray-project/ray/pull/56880#discussion_r2446293310
  • File: python/ray/_private/test_utils.py
  • "would something like this more reliable than checking the kv store ``` def wait_until_grpc_channel_ready(target: str, timeout: int = 10): channel = grpc.insecure_channel(target) try: grpc.channel_ready_future(channel).result(timeout=timeout) return True except grpc.Futur"

Area focus

Files touched (authored PRs)

• src/ray/gcs (257 files)
• src/ray/core_worker (176 files)
• src/ray/raylet (138 files)
• src/ray/stats (127 files)
• python/ray/tests (81 files)
• src/ray/observability (77 files)
• src/ray/protobuf (72 files)
• python/ray/data (65 files)

Areas reviewed (from PR titles)

• metrics (52 PRs)
• testing (46 PRs)
• storage/log (13 PRs)
• metadata (8 PRs)
• config (5 PRs)
• storage (1 PRs)