Clavinci vs Waydev

Clavinci joins four streams in one canonical evidence graph: AI input, git and deployment output, Jira delivery, and pull request collaboration. Daily, weekly, and monthly rollups support engineer, team, portfolio, and operating views without separating AI analytics from delivery analytics.

Waydev publishes a broad engineering-intelligence platform spanning AI ROI and impact, DORA and SPACE, delivery, health, planning, developer experience, custom reporting, and benchmarks.

Passive collectors cover Claude Code, Codex, Cursor, Gemini, Kiro CLI and IDE, OpenCode, OpenClaw, and Every Code. The model records session boundaries, tool and model, tokens in and out, cache read and create, project and repository context, compaction, and supported tool-specific categories without reading work content.

Waydev publishes AI integrations including Claude Code, Cursor, Devin, GitHub Copilot, and Windsurf, plus checkpoint activity tied to commits. Token and cost availability varies by integration, and its pricing page notes that some tools currently contribute zero cost.

Clavinci calculates actual and API-equivalent cost from versioned model prices, then connects spend to tools, models, repositories, epics, merged lines that survive 30 days, completed issues, story points, and AI-attributed CI work. It also surfaces dark-token rate, cache efficiency, tokens per outcome, and compaction-adjusted cost.

Waydev publishes AI cost per active user, merged pull request, and 1,000 tokens, plus token efficiency, cache hit ratio, adoption, vendor comparison, and ROI reporting.

Clavinci scores session-to-commit relationships from time proximity, file overlap, explicit session trailers, and Jira issue matches. Multi-session attribution is proportional, algorithm versions are replayable, engineers can dispute an attribution, and admin resolutions remain tracked and audited.

Waydev publishes IDE acceptance, merge, and deployment stages plus AI Checkpoints attached to commits with checkpoint-level AI attribution, token, file, and changed-line fields.

Clavinci measures deployment frequency, lead time, cycle time, change failure rate, and MTTR with AI overlays. It adds AI lead-time delta, AI change failure, AI rework, and 30-day AI code survival so merged output is not treated as successful output by default.

Waydev publishes the four DORA metrics, code-to-production stages, AI impact, merge quality, and period comparisons across delivery reports.

Clavinci ingests Jira issue, sprint, status-transition, priority, assignee, story-point, and epic metadata while excluding descriptions and comments. It computes velocity, AI-attributed velocity, spillover, AI versus manual spillover, cycle count, cycle and lead time, time in status, throughput, aging WIP, stale bugs, and cost per issue or story point.

Waydev publishes Jira and other ticketing integrations, Sprints Commitment, velocity, planning, ticket lifecycle, work in progress, stuck issues, story points, and resource-planning reports.

Clavinci measures PR size distribution, time to first review, time to merge after approval, review iterations, self-merge rate, reviewer turnaround distributions, review load, cross-team participation, stale-PR age, and AI lead-time deltas through CI and PR event ingestion.

Waydev publishes PR Insights, merge quality, coding and review-time metrics, linked and unlinked PRs, review patterns, team workload, health reports, and benchmarks.

Clavinci includes hotfix rate, incident rate, mean time between incidents, on-call page rate, production-issue reopen rate, change failure, and MTTR. Incident adapters normalize PagerDuty, Opsgenie, and Incident.io events for team-level stability evidence.

Waydev publishes change failure rate, mean time to restore, merge quality, health, and delivery-risk views. The exact public coverage of on-call load, incident frequency, mean time between incidents, and reopen rate was not established in the reviewed sources.

Clavinci ships re-roll rate, tool-to-task fit, Cursor-native and inferred suggestion acceptance, prompt-complexity adoption trends, code churn, compaction, and attribution quality. Privacy floors and anti-metric rules prevent these signals from becoming public engineer rankings.

Waydev publishes IDE acceptance rate, checkpoint attribution, AI and human changed lines, merge rate, and code-to-production analysis. Re-roll clustering, tool-task fit, prompt-complexity adoption, and an equivalent attribution-dispute flow were not established in the reviewed material.

Clavinci shows active sessions, tool and model mix, week-over-week tool-mix shifts, concurrent-tool usage, first-use and time-to-habit adoption curves, session-duration distributions, dark-session rate, and same-engineer cross-tool efficiency by repository.

Waydev publishes AI adoption, power-user ratio, token consumption, vendor comparison, active-user cost, checkpoint activity, and period-over-period reporting.

Each engineer receives personal summary, session inspector, tool and model breakdowns, token categories, cost, dark sessions, attributed commits, DORA, sprint, and AI quality views. Engineers can switch between local and hosted data, inspect who read their data, export or delete cloud data, and dispute attribution.

Waydev publishes contributor views, user breakdowns, code-to-production detail, checkpoints, and personal performance context. An engineer-visible immutable read audit, self-service attribution dispute, and the same local history controls were not established in the reviewed sources.

Direct managers receive team and direct-report views for AI ROI, DORA, cost, sprint flow, PR review, stability, quality, acceptance, re-roll, prompt complexity, and notifications. Skip-levels get privacy-floored team aggregates and cross-team comparison. Admins get adoption, dark-token, service-health, team, Jira, model-price, and dispute controls.

Waydev publishes manager and executive reporting, contributor and team insights, side-by-side benchmarks, custom dashboards, planning, AI ROI, AI impact, and board-oriented analysis.

Direct managers may read direct-report metrics and every individual read is logged for the engineer. Skip-level access begins with aggregates and a configurable size floor; individual drill-down requires a reason and audit. Peers and unrelated roles cannot drill down. Public rankings and automated people decisions cannot be computed.

Waydev publishes custom roles, team and repository access controls, stats management, user breakdowns, contributor performance, and benchmarks. The reviewed public sources do not establish an engineer-visible audit for every individual read or the same query-layer refusal list.

Clavinci never reads or transmits prompts, responses, source code, issue descriptions, issue comments, PR review text, CI logs, environment variables, or secrets. It works from structured tokens, timestamps, paths, diff statistics, identifiers, statuses, and event metadata.

Waydev states that it processes git metadata without retaining repository copies. Its AI Checkpoints documentation describes full session capture stored in an Entire checkpoint branch, while its setup also documents controls such as disabling remote session pushes. Buyers should verify the configured payload and custody model.

Clavinci exposes agent uptime, sync success and failures, data freshness, silent engineers, repository and hook coverage, tool errors, rate-limit hits, session crashes, latency outliers, and Jira health. Admins can separate missing data from real zero values and see rollout health directly.

Waydev publishes platform reporting, integration management, support, service levels, and enterprise success services. Equivalent public detail for collector uptime, per-engineer freshness, silent-agent detection, and ingestion health was not established in the reviewed sources.

Clavinci evaluates manager triggers for stale pull requests, aging work in progress, dark-session bursts, and hotfix spikes, with privacy-aware delivery paths. It surfaces the evidence and exceptions but does not replace Jira, resource planning, initiative management, or a custom workflow builder.

Waydev publishes targets, chat notifications, resource and initiative planning, project costs, custom dashboards and metrics, downloadable reports, Waydev Agent, API access, and MCP access for AI tools.

Clavinci is a commercial, company-operated hosted product. Structured collectors run near the engineering tools, local history remains available to the engineer, and the company operates the application, API, database, upgrades, backups, and service health. Customer deployment is not offered.

Waydev's Enterprise plan publishes self-hosted or cloud-hosted deployment, on-premise git and ticketing integrations, SAML, custom engineering support, and enterprise customer success.