Engineering intelligence from IDE-level data, not status reports
PanDev Metrics is an AI engineering intelligence platform for measuring software delivery and developer productivity.
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Reviewed
PanDev Metrics works by installing lightweight plugins inside a developer's IDE (VS Code, JetBrains, Cursor, Visual Studio) that capture event-level data as engineers work. This data is aggregated into dashboards and made queryable through conversational AI, giving engineering managers, CTOs, and individual developers metrics such as DORA (Deployment Frequency, Lead Time, Change Failure Rate, MTTR), SPACE framework indicators, DevEx scores, time-on-coding, and IDE usage patterns, rather than relying on self-reported status updates.
The platform connects to source control and project management systems including GitHub, GitLab, Bitbucket, Azure DevOps, Jira, ClickUp, and Linear. A separate component, PanDev CLI, is a free local command-line tool (`npx pandev@beta`, requiring Node 20+, running on macOS, Linux, and Windows) that analyzes AI coding agent spend for individual developers: it breaks down monthly AI bills by task, branch, model, and file, attributing cost to the git branch active at the time of work (roughly 90% attribution accuracy) using git reflog. It reports per-prompt costs, active versus wall-clock time, model splits, and can generate a self-contained offline HTML dashboard via `pandev web`. The CLI is built with a no-account, no-network, no-telemetry design that can be verified with tools like tcpdump, and it prints a sha256 checksum via `pandev privacy` for comparison against published reproducible-build hashes. It currently works with Claude Code and Codex CLI logs, with OpenCode and ZCode support rolling out.
Lets users ask an AI assistant conversational questions about engineering data instead of manually building dashboard views.
A free, local-only command-line tool that breaks down AI coding agent costs by task, branch, model, and file using git reflog attribution.
Analyzes collected IDE and integration data to produce DORA metrics such as deployment frequency, lead time, change failure rate, and MTTR.
Produces developer experience indicators to gauge engineering satisfaction and friction alongside productivity metrics.
The `pandev web` command builds a self-contained offline HTML dashboard visualizing AI agent cost and usage data.
Generates SPACE framework scores for individuals, teams, and organizations from aggregated development activity data.
Tracks time spent coding, debugging, and in meetings, along with detailed IDE usage statistics at individual, team, and org levels.
Lightweight plugins for VS Code, JetBrains, Cursor, and Visual Studio collect development data directly at the IDE event level.
Parses Claude Code and Codex CLI logs to compute per-task AI spend, with OpenCode and ZCode support rolling out.
Connects to GitHub, GitLab, Bitbucket, Azure DevOps, Jira, ClickUp, and Linear to pull delivery and task data into the platform.
The CLI runs with no account, no network calls, and no telemetry, and `pandev privacy` prints a sha256 checksum to verify against published reproducible-build hashes.
Deploys fully on-premises via Docker or Kubernetes so all data stays inside the customer's own network, for regulated industries like fintech and govtech.
Free, local-only tool for individual developers to analyze AI coding agent spend by task, branch, and model
Full AI Engineering Intelligence Platform for engineering teams and organizations, available as SaaS or on-premises deployment; pricing not publicly listed and requires contacting sales or booking a demo
IDE-level telemetry for DORA and SPACE metrics, priced as a black box until sales calls you.
“PanDev Metrics pulls productivity data straight from IDE plugins instead of status reports, with a genuinely useful free CLI attached. The core platform's pricing and traction are invisible, which matters more than the feature list.”
Four IDE plugins, seven integrations, DORA and SPACE scoring, on-prem via Docker or Kubernetes. That's a real architecture, not a marketing wrapper. The free PanDev CLI — local-only, no telemetry, sha256-verifiable — is the kind of detail that signals engineers built this for engineers.
Two things worry me. No pricing page, no changelog, no API. "Contact sales" on the main product tells me this is early, maybe pre-revenue-model, not necessarily broken but unproven.
The obvious alternative here is self-reported status updates and sprint velocity guesses. PanDev replaces that with event-level data, which is a real advance, not just a cheaper dashboard. But IDE telemetry on individual developers is a culture landmine if rolled out without buy-in. Pilot with one team, watch the trust reaction before you touch org-wide metrics.
IDE-event-level capture plus reflog-based AI cost attribution (~90% accuracy) is a distinct approach versus status-report-based tools.
On-prem option and CLI privacy design are strong, but individual-level IDE tracking risks developer trust if mishandled.
Free CLI gives instant AI-spend visibility; full platform payback unclear with no trial and contact-only pricing.
Replaces self-reported status data with IDE-level DORA/SPACE metrics, a real capability shift not just cost-saving.
Docs exist, no changelog or API surfaced, pricing page absent — evidence of activity but not maturity.
Engineering orgs wanting event-level delivery metrics instead of self-reported sprint data.
Skip if you need transparent pricing or proof of active shipping before committing budget.
IDE-level telemetry plus on-prem deployment makes this a real DORA/SPACE play, not a status-report tracker.
“PanDev pulls DORA, SPACE, and DevEx signal straight from IDE plugins and git activity instead of self-reported check-ins. On-prem via Docker/Kubernetes is the part that gets it past security review.”
Event-level capture from VS Code, JetBrains, Cursor, and Visual Studio plugins is the right architecture for engineering intelligence — self-reported status updates are the thing every DORA rollout dies on, and IDE-level telemetry sidesteps that. Pairing it with GitHub, GitLab, Bitbucket, Azure DevOps, Jira, ClickUp, and Linear integrations means the metrics layer isn't guessing at delivery data from a single source.
The on-prem option via Docker or Kubernetes is the line item that matters for fintech and govtech. If I'm running a regulated shop, I don't ship IDE keystroke-adjacent data to a third-party SaaS without that escape hatch. Pricing for the team platform is contact-sales-only, though, which is friction I have to plan around before I can even scope a pilot.
The free PanDev CLI — no account, no network calls, sha256-verifiable — is a smart trust-building wedge, but it's a separate tool solving a narrower problem: AI agent spend, not org-wide delivery metrics. Adopt this and in three years you've got IDE-level observability baked into how you manage engineers, for better or worse with developer trust.
Sits ahead of status-report-based tools by capturing IDE telemetry directly, though contact-only pricing obscures where it lands cost-wise.
Matches how engineering leaders actually want to measure delivery: individual, team, and org-level views tied to real work, not standups.
Seven-plus integrations (GitHub, GitLab, Bitbucket, Azure DevOps, Jira, ClickUp, Linear) cover the stack most engineering orgs already run.
On-prem via Docker/Kubernetes avoids vendor data lock-in, but IDE-level monitoring creates a cultural precedent that's hard to walk back.
DORA plus SPACE plus DevEx from IDE-event data is deeper than dashboard-only competitors relying on git metadata alone.
Engineering leaders who need DORA and SPACE metrics from actual IDE activity and may require on-prem deployment for compliance.
Avoid if you need transparent self-serve pricing or your team will resist IDE-level activity monitoring.
Free CLI, priced platform. Team tier costs whatever sales negotiates — no floor visible.
“PanDev CLI is genuinely $0, local-only, verifiable by checksum. The platform tier — DORA, SPACE, on-prem — has no published number at all.”
$0 for the CLI. Real number, verifiable — tcpdump and sha256 checksums, not marketing claims. That part's honest.
The platform tier is labeled "Free" but requires "contacting sales or booking a demo." That's not free. That's undisclosed. No seat count, no per-user rate, no on-prem premium listed anywhere in the evidence. Can't build a 3-year TCO model on contact-us. Team of 50 could land at $15K or $150K — no way to know before the call.
On-prem via Docker or Kubernetes adds deployment and maintenance cost the SaaS tier skips — evidence doesn't say how much, but self-hosting never runs free labor-wise. Compare that to the CLI's zero-friction install (npx pandev@beta). Same company, two very different procurement paths.
Sales-call gating on the team tier adds procurement friction the CLI tier avoids entirely.
No term length, renewal, or cancellation terms published — evidence is silent, scored neutral.
CLI price is public ($0); platform tier is contact-only with no published floor.
DORA and SPACE metrics plus CLI's per-prompt AI spend tracking give measurable before/after numbers.
On-prem deployment via Docker/Kubernetes adds infra cost not quantified anywhere in evidence.
Individual developers wanting free AI spend tracking with zero setup friction.
You need a number to put in a budget before booking a sales call.
DORA off IDE telemetry instead of self-reported tickets — that's the real pitch, not the AI chat bolt-on.
“IDE-level plugins across VS Code, JetBrains, Cursor, and Visual Studio give this a legit shot at DORA/SPACE without the survey-fatigue problem. The CLI's local-only spend attribution is the more interesting artifact — verifiable, no-telemetry, sha256-checked.”
Paging at 3am, I care about MTTR and change failure rate being accurate, not vibes-based. PanDev pulls those from IDE events plus Git/Jira/Linear rather than asking engineers to self-report, which is the right instinct — self-reported status data rots fast under incident pressure. On-prem via Docker or Kubernetes matters too; fintech/govtech shops that can't ship IDE telemetry off-network get a real option, not a promise.
Day-3 concern: IDE plugins across four editors is real surface area to keep patched and low-overhead. Rolling out Cursor/JetBrains/VS Code agents without perf complaints from devs is nontrivial, and the evidence doesn't show telemetry footprint numbers.
The CLI is the sleeper feature: no account, no network calls, tcpdump-verifiable, reflog-based cost attribution at ~90% accuracy. That's the kind of tool an SRE trusts on-call. Tradeoff: pricing is 'contact sales' for the actual platform, so I can't size cost against DORA-tooling alternatives yet.
IDE-level capture avoids status-report rot but plugin overhead across four IDEs is unproven in the evidence.
Docs exist and CLI ships reproducible-build checksums verifiable via tcpdump, a detail written by people who'd actually check, but no changelog or API docs listed.
One plugin per IDE plus multiple tracker integrations is several moving parts to babysit weekly.
Per-prompt cost, active-vs-wall-clock time, and branch/model/file attribution in the free CLI show real depth beyond dashboard summaries.
Git/Jira/Linear/Azure DevOps integrations plus on-prem Docker/Kubernetes deployment fit existing SRE/platform stacks without forcing new habits.
Platform/SRE teams that need DORA and DevEx metrics grounded in real IDE activity rather than sprint self-reports.
You need transparent self-serve pricing today or your team is standardized on an AI coding tool outside Claude Code and Codex CLI.
Solid metrics plumbing, but you'll be emailing sales before you see a dashboard
“PanDev Metrics pulls DORA and SPACE data straight from your IDE instead of a Slack status update, which is the right idea. The team version hides behind a demo request, so day one is a sales call, not a login.”
The free CLI piece is the clever bit here. `npx pandev@beta` reads your Claude Code or Codex logs locally, no account, no network calls, and you can literally run tcpdump to check they're not lying about it. That's a rare bit of honesty in a category full of vague telemetry promises. Nice touch letting you verify a sha256 checksum yourself.
The bigger platform, though, the one with IDE plugins for VS Code, JetBrains, Cursor, and Visual Studio, is listed as 'Free [POPULAR]' but pricing is actually 'contact sales.' No pricing page, no free trial. That's homework before you even get to try it, and the site has no changelog either, so you can't tell how fast this thing moves.
DORA and SPACE scoring from real IDE events beats self-reported status reports, no argument. The tradeoff: no visible track record on reliability, and mobile isn't mentioned anywhere in the evidence, which for a monitoring tool matters less day-to-day but still stings if you want a phone check on deploy metrics.
CLI has thoughtful details like a sha256 privacy checksum, but the SaaS dashboard has no visible screenshots or empty-state info in evidence.
Conversational AI queries over DORA and SPACE data should flatten the learning curve versus building dashboards manually.
Platforms listed are web, mac, windows, linux with no mobile mention at all in the evidence.
CLI onboarding is one npx command with Node 20+, but the full platform requires contacting sales with no free trial listed.
On-prem Docker/Kubernetes option and reproducible-build verification suggest engineering discipline, but no uptime or incident data is public.
Engineering leaders who want DORA and SPACE metrics pulled from real IDE activity instead of status meetings.
Avoid if you need transparent self-serve pricing or a quick trial before committing to a sales call.
IDE telemetry plus DORA dashboards, but the Teams plan is literally 'contact us.'
“The CLI is the credible part — verifiable, offline, no telemetry. The platform side asks for a lot of trust with no pricing page and no changelog.”
Started with the CLI, because that's the part I can actually check. No account, no network calls, sha256 checksum via `pandev privacy` against reproducible-build hashes. That's a real privacy claim, not a marketing one. Good sign.
The platform side is a different story. DORA metrics, SPACE scores, DevEx indicators, IDE plugins across four editors, seven integrations — broad claims, thin proof. No pricing page. 'Teams / Enterprise' is labeled Free but requires a sales call, which usually means it isn't. No changelog listed either, so I can't tell how fast this ships.
Engineering intelligence has a graveyard — self-reported status tools that engineers gamed or ignored. IDE-level telemetry is the honest fix, if it holds up. On-prem via Docker/Kubernetes is a real exit lever for regulated shops. Everyone else's dashboards die with the vendor; yours might not, if you self-host from day one.
IDE-level capture instead of status reports is a real angle, but DORA/SPACE dashboards are a crowded category with no named rival to compare against here.
On-premises Docker/Kubernetes deployment is a genuine exit lever most SaaS competitors in this space don't offer.
Docs exist but no changelog, no API, no pricing page — thin signals of active iteration for the paid product.
CLI claims are independently verifiable; platform claims (DORA, SPACE, DevEx) have no changelog or case data behind them.
Named features (git reflog attribution, ~90% accuracy) are specific and credible; broader platform metrics lack any usage evidence.
Engineering orgs in regulated industries that want on-prem DORA metrics and can tolerate a sales-driven pricing process.
You want transparent self-serve pricing or proof this platform has shipped updates over time.
Common questions answered by our AI research team
PanDev Metrics supports IDE plugins for VS Code, JetBrains, Cursor, and Visual Studio, capturing time-on-coding and IDE usage statistics directly from these environments.
Yes. PanDev Metrics is available as SaaS or fully on-premises via Docker or Kubernetes, letting organizations keep data inside their own network.
PanDev Metrics integrates with Jira, ClickUp, and Linear for project management data.
Yes. PanDev Metrics analyzes development data to produce DORA metrics, along with SPACE framework scores and DevEx indicators at individual, team, and organization levels.
PanDev Metrics integrates with GitHub, GitLab, Bitbucket, and Azure DevOps for git hosting.
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PanDev Metrics provides an engineering intelligence platform that collects real-time development data from IDEs, Git providers, and task trackers.