Langchainjs Engineering Benchmarks
Langchainjs delivery benchmarks are based on 14 merged pull requests in the last 30 days (812 all-time), with 0.4 hours median cycle time, 0.1 hours median review time, and 5 active contributors. AI-related signals appear on 7.1% of recent work. PR volume is down -46% compared to the prior period.
Repo vs LangChain Average
Delivery Trend and AI Signals
PR Backlog (Humans)
Excludes AI agents and automation accounts.
PR Backlog (AI Agents)
AI coding agents only.
Cycle Time by AI-Related Signals
PR Breakdown
Top AI Tools
PR Type Breakdown
Recent Pull Requests
View PR Explorer| Title | Author | AI |
|---|---|---|
| fix: resolve open Dependabot alerts | jkennedyvz | — |
| feat(anthropic): add Claude Opus 5 support | hntrl | AI |
| chore(deps): patch websocket-driver Dependabot advisories | langsmith-fleet | — |
| fix(deps): resolve Dependabot security alerts | langsmith-fleet | — |
| chore: add Socket optimized dependency overrides | jkennedyvz | — |
Methodology
Metrics are computed from merged pull request data synced daily from GitHub. AI-related metrics are directional signals inferred from pull request activity patterns and heuristics. Summary metrics use a 30-day rolling window; trends use a 90-day window. Last updated 29 minutes ago.
Updated daily from public GitHub pull requests.
See Your Team's Benchmarks