Tesla Vehicle Software Updates · January 2023 – April 2026
This dashboard is a simulation built on public Tesla release notes. It does not represent real internal Tesla data, teams, or processes.
Version strings (2024.26) resolve to that release date · Date strings (2024-07-01) use calendar dates · Leave blank to view the full dataset
| Version | Release Date | Progress |
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| Version | Date |
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| Version | Date |
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| Feature / Group | Status | Engineer | Dev Start | Release | Planned | Dev | FC | RC | Released |
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| Name | Team | Level | Specialty | Active | Released |
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| ID | Title | Severity | Prob | Impact | Owner | Status |
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| Version | Date | Features | Category Split |
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| Version | Release Date |
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| Version | Release Date |
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| Version | Release Date |
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| Feature | Group | Engineer | Release Date | Category |
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| Name | Team | Level | Shipped in Window | Total Released | Active |
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| ID | Title | Severity | Prob | Impact | Owner | Status |
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A software version is a numbered release of Tesla's vehicle software, pushed over-the-air (OTA) to cars. Each version contains a set of new features, bug fixes, or undocumented changes. Versions follow a YEAR.WEEK.PATCH format — for example, 2024.26.3 means the third patch of week 26 in 2024. This dataset covers 118 versions released between January 2023 and April 2026.
| Version | Release Date | Feature Count |
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A feature is a specific capability or improvement included in a software version. Features range from new Autopilot behaviors to UI changes, navigation updates, and hardware improvements. Each feature has a lifecycle: it starts in development, becomes feature complete when engineering is done, release complete when it passes validation, and finally released when it ships to customers. This dataset tracks 1,782 features across 7 groups and 20 subgroups.
| Group | Total Features | % of Total |
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The 10 engineers in this dashboard are simulated roles based on realistic Tesla engineering team structures. They are not real Tesla employees. Each engineer is assigned to a team and owns a set of features across the dataset. Seniority levels follow Tesla's engineering ladder: L3 (junior), L4 (mid-level), L5 (senior).
| Name | Team | Level | Specialty | Total Features | Released Features |
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Risks are potential issues that could affect the quality, timeline, or safety of the software program. Each risk has a severity (Critical, High, Medium), probability (how likely it is to occur), and impact (how bad it would be). Risks were identified by analyzing patterns in the release data — such as recurring OTA recalls, junior engineers owning safety-critical code, and rapid release cadence creating regression pressure. These are simulated risks for educational purposes.