# PanDev Metrics > AI Engineering Intelligence Platform that collects accurate development data directly from IDE plugins (VS Code, JetBrains, Cursor, Visual Studio) and analyzes it with AI. PanDev measures real engineering productivity — DORA metrics, SPACE framework, DevEx, time-on-coding, IDE usage — at individual, team, and organization levels. Available as SaaS or fully on-premises (Docker / Kubernetes). PanDev Metrics is built for engineering managers, CTOs, individual developers, and operations leaders who need reliable, data-backed answers about software delivery — not opinions or guess-work. Data is collected at the IDE event level via lightweight plugins, then aggregated into dashboards and conversational AI queries. The platform integrates with GitHub, GitLab, Bitbucket, Azure DevOps, Jira, ClickUp, Linear, and most major IDEs. The full feature set runs on-premises with no data leaving the customer's network — important for fintech, govtech, and regulated industries. ## Marketing pages - [Homepage — AI Engineering Intelligence Platform](https://pandev-metrics.com/) - [For Teams — Control releases on facts, not statuses](https://pandev-metrics.com/teams) - [Personal — Free Developer Profile and Workspace](https://pandev-metrics.com/personal) - [Book a Demo](https://pandev-metrics.com/book) - [Pricing — Plans and packaging](https://pandev-metrics.com/price) - [Integrations — Connect existing systems](https://pandev-metrics.com/integrations) - [Metrics B2B — Engineering analytics for teams](https://pandev-metrics.com/metrics) ## Documentation — start here - [AI Assistant](https://pandev-metrics.com/docs/product/ai-assistant) - [Platform Features](https://pandev-metrics.com/docs/product/features) - [Product Overview](https://pandev-metrics.com/docs/product/overview) - [Release Notes](https://pandev-metrics.com/docs/product/release-notes) - [Use Cases](https://pandev-metrics.com/docs/product/use-cases) - [Solution Architecture](https://pandev-metrics.com/docs/how-it-works/architecture) - [Project and Task Cost Methodology](https://pandev-metrics.com/docs/how-it-works/cost-methodology) - [Data Accuracy Checklist](https://pandev-metrics.com/docs/how-it-works/data-accuracy-checklist) - [Chrome Telemetry](https://pandev-metrics.com/docs/how-it-works/data-collection/chrome) - [IDE Telemetry](https://pandev-metrics.com/docs/how-it-works/data-collection/ide) - [Data Collection Overview](https://pandev-metrics.com/docs/how-it-works/data-collection/overview) - [What We Collect](https://pandev-metrics.com/docs/how-it-works/data-collection/what-we-collect) - [How the Platform Works](https://pandev-metrics.com/docs/how-it-works/how-it-works) - [PanDev Metrics Overview](https://pandev-metrics.com/docs/how-it-works/overview) - [Problems We Solve](https://pandev-metrics.com/docs/how-it-works/pain-points) ## Documentation — full reference For the complete documentation tree (118 pages: setup, integrations, on-prem deployment, user guide, API reference) see [llms-full.txt](https://pandev-metrics.com/llms-full.txt) Section 2, or browse the docs site: - [Documentation root](https://pandev-metrics.com/docs/) - [Sitemap](https://pandev-metrics.com/sitemap.xml) ## Blog — recent posts - [On-Call Rotation Best Practices: SRE-Style Schedules to Reduce Burnout (2026)](https://pandev-metrics.com/docs/blog/oncall-rotation-best-practices): Manage on-call rotations without burnout: Google SRE workbook alerting policies, real schedules, and burnout-prevention metrics for engineering teams in 2026. - [Incident Post-Mortem Template That Actually Helps (Not CYA)](https://pandev-metrics.com/docs/blog/incident-postmortem-templates): Most post-mortems read like legal disclaimers. Here's the 5-section template that drives real action items — used by teams that actually reduce MTTR. - [Design Docs: When to Write, When to Skip (Decision Framework)](https://pandev-metrics.com/docs/blog/design-docs-when-to-write): Most teams write too many design docs or none at all. A 3-question framework to decide which changes need one — and which waste an engineer's afternoon. - [Sprint Retrospectives That Don't Waste Time: Data-Driven Framework](https://pandev-metrics.com/docs/blog/sprint-retrospectives-that-work): Most retros end with the same five sticky notes and no follow-through. Here's a 30-minute data-driven retro that actually changes behavior. - [Pair Programming ROI: Is It Worth the Time? (Research)](https://pandev-metrics.com/docs/blog/pair-programming-roi): Two developers, one keyboard — does it double cost or double quality? We crossed Cockburn–Williams data with our IDE telemetry to get the real ROI. - [Code Review Checklist: 11 Rules That Cut Review Time in Half](https://pandev-metrics.com/docs/blog/code-review-checklist-2026): Every team has 3+ PRs stuck 'in review' right now. The best engineering managers use 11 rules to fix it, backed by Google, SmartBear, and DORA data. - [How Much Time Developers Actually Code, Debug, and Meet (2026 Data from 100k Devs)](https://pandev-metrics.com/docs/blog/how-much-developers-actually-code): Real IDE-tracked stats: developers code 3.2h, debug 1.8h, meet 2.5h per day. Full breakdown by SPACE framework — debugging and meeting time statistics 2026. - [As Featured in Forbes Kazakhstan: How PanDev Metrics Helps CTOs See What Actually Happens in Development](https://pandev-metrics.com/docs/blog/forbes-kazakhstan-pandev-metrics-2026): Forbes Kazakhstan (April 2026) featured PanDev Metrics in their article 'Trust the Big Brother.' Here are the key takeaways, real client quotes, and results from ~40 companies piloting the platform. - [DORA Metrics: The Complete Guide for Engineering Leaders (2026)](https://pandev-metrics.com/docs/blog/dora-metrics-complete-guide-2026): Everything you need to know about DORA metrics in 2026: Deployment Frequency, Lead Time, Change Failure Rate, and MTTR. With benchmarks, implementation guide, and common pitfalls. - [10 Engineering Metrics Every Manager Must Track in 2026 (DORA + SPACE + DevEx)](https://pandev-metrics.com/docs/blog/10-metrics-every-engineering-manager-should-track): Updated April 2026: 10 essential engineering metrics every engineering manager tracks — DORA, SPACE, DevEx with real benchmarks and developer productivity trends. - [How to Measure Lead Time for Changes: The 4-Stage Breakdown That Reveals Your Real Bottlenecks](https://pandev-metrics.com/docs/blog/lead-time-4-stages-breakdown): Break Lead Time into 4 stages — Coding, Pickup, Review, Deploy — to find where your delivery pipeline actually stalls. With benchmarks and fixes. - [From Monthly Releases to Daily Deploys: A Practical Roadmap](https://pandev-metrics.com/docs/blog/deployment-frequency-monthly-to-daily): A step-by-step roadmap to move from monthly release cycles to daily deployments. With benchmarks, prerequisites, and real-world tradeoffs. - [Change Failure Rate: Why 15% Is Normal and 0% Is Suspicious](https://pandev-metrics.com/docs/blog/change-failure-rate-15-percent-normal): What your Change Failure Rate actually tells you, why 0% means you're hiding failures, and how to reduce it without slowing down. - [MTTR Targets 2026: Realistic DORA Speed of Recovery Benchmarks for Your Team](https://pandev-metrics.com/docs/blog/mttr-speed-of-recovery): Industry MTTR benchmarks for DORA's Speed of Recovery in 2026: realistic targets by team size and tech stack, plus a playbook to reduce MTTR fast. - [DORA vs SPACE vs DevEx 2026: Engineering Productivity Frameworks Compared](https://pandev-metrics.com/docs/blog/dora-vs-space-vs-devex-2026): Side-by-side comparison of DORA, SPACE (ACM Queue 2021) and DevEx frameworks for measuring developer productivity in 2026 — when each works, real benchmarks. - [How to Implement DORA Metrics in Your Team in 2 Weeks](https://pandev-metrics.com/docs/blog/implement-dora-metrics-2-weeks): A day-by-day tutorial for Engineering Managers: go from zero to live DORA dashboards in 2 weeks. Covers tooling, definitions, baselines, and team buy-in. - [DORA Metrics for Fintech: Proving Process Maturity to Regulators](https://pandev-metrics.com/docs/blog/dora-metrics-fintech-regulators): How fintech CTOs use DORA metrics to demonstrate operational maturity to regulators, auditors, and enterprise clients. Practical guide with compliance mapping. - [Focus Time: Why 2 Hours of Uninterrupted Code Equals 6 Hours of Fragmented Work](https://pandev-metrics.com/docs/blog/focus-time-deep-work): Data shows uninterrupted coding sessions produce 3x more output than fragmented ones. Here's how to protect focus time for your engineering team. - [Delivery Index: How to Measure Development Velocity Without Lines of Code](https://pandev-metrics.com/docs/blog/delivery-index-without-loc): Lines of code is a broken metric. Delivery Index combines coding activity, task completion, and consistency to measure real development velocity. - [Planning Accuracy: How to Know If Your Team Overestimates or Underestimates Tasks](https://pandev-metrics.com/docs/blog/planning-accuracy): Most engineering teams can't estimate well. Planning Accuracy tracks estimation bias over time so you can finally build roadmaps you can trust. - [5 Data Patterns That Scream 'Your Developer Is Burning Out](https://pandev-metrics.com/docs/blog/burnout-detection-data): Burnout doesn't start with a resignation letter. IDE activity data reveals 5 warning patterns weeks before a developer quits or crashes. - [The 10x Developer: What the Data Actually Shows (And Why It Doesn't Matter)](https://pandev-metrics.com/docs/blog/10x-developer-myth): We analyzed thousands of hours of real coding data. The productivity gap between developers is real — but the '10x' framing is wrong and harmful. - [Context Switching Kills Developer Productivity: Real Data on the 40% Loss](https://pandev-metrics.com/docs/blog/context-switching-kills-productivity): Multi-project devs lose 40% of their day to context switching. We measured 100k+ engineers IDE time to show the real productivity loss — with statistics and fixes. - [Remote vs Office Developers: What Thousands of Hours of Real IDE Data Tell Us](https://pandev-metrics.com/docs/blog/remote-vs-office-productivity): The remote vs office debate lacks data. We analyzed thousands of hours of real IDE activity across 100+ B2B companies. Here's what we found. - [How to Run Data-Driven 1:1s With Your Developers](https://pandev-metrics.com/docs/blog/data-driven-one-on-one): A practical guide to running effective 1:1 meetings with developers using real engineering data — templates, questions, and anti-patterns included. - [Performance Reviews Based on Data: Templates and Anti-Patterns](https://pandev-metrics.com/docs/blog/performance-review-data): How to run fair, data-backed performance reviews for engineers. Includes templates, calibration frameworks, and the anti-patterns that destroy trust. - [How to Justify Hiring 5 More Developers to Your CFO](https://pandev-metrics.com/docs/blog/justify-hiring-to-cfo): A step-by-step guide for CTOs and VP Engs to build a data-backed business case for engineering headcount. Speak the CFO's language. - [The CTO Dashboard 2026: 12 Engineering Metrics That Belong on Your Top View](https://pandev-metrics.com/docs/blog/cto-dashboard): What every CTO needs to see daily: engineering velocity, cost per feature, on-call health, hiring funnel — and how to build the CTO dashboard in 2026. - [Engineering Metrics Without Toxicity: How to Track Productivity Without Creating a Panopticon](https://pandev-metrics.com/docs/blog/metrics-without-toxicity): How to implement engineering metrics that improve outcomes without destroying trust. A guide for CTOs and HR leaders who want data without surveillance. - [Scaling Your Engineering Org From 10 to 100 With Data](https://pandev-metrics.com/docs/blog/scaling-10-to-100): A data-driven playbook for CTOs scaling their engineering team from 10 to 100. What breaks at each stage and how metrics help you see it coming. ## Blog — full archive Total published blog posts: **85**. Topics covered: DORA metrics, SPACE framework, DevEx, developer productivity research, engineering management, on-call practices, AI copilot impact, IDE usage data, comparisons of engineering intelligence platforms (Haystack, CodeClimate, Faros, DX, LinearB, Jellyfish, Swarmia, Sleuth, Pluralsight Flow, Wakatime), industry-specific engineering metrics (fintech, healthcare, govtech, edtech, gamedev, e-commerce), engineering finance (cost per feature, technical debt, hourly rates, ROI), team scaling (Brooks's Law, hiring, junior-to-senior promotion, staff/principal engineer frameworks). For the complete blog with full article bodies see [llms-full.txt](https://pandev-metrics.com/llms-full.txt) Section 3, or browse: - [Blog index](https://pandev-metrics.com/docs/blog/) - [Blog tags](https://pandev-metrics.com/docs/blog/tags/) - [RSS feed](https://pandev-metrics.com/docs/blog/rss.xml) ## Optional - [GitHub integration setup](https://pandev-metrics.com/docs/setup/git-integrations/github) - [JetBrains plugin](https://pandev-metrics.com/docs/setup/ide-plugins/jetbrains-plugin) - [VS Code plugin](https://pandev-metrics.com/docs/setup/ide-plugins/vsc-plugin) - [On-prem installation](https://pandev-metrics.com/docs/on-prem/installation) - [Pricing](https://pandev-metrics.com/price) - [Book a demo](https://pandev-metrics.com/book)