Solution

Auto Time Tracking from Git 2026 | No Manual Entry

Friday 5PM: where did 40h go? GitScrum: Git activity = auto time. Branch starts, PR stops timer. No guessing. $8.90/user. 2 free forever. Free trial.

The Time Tracking Problem Friday afternoon.

Timesheet due. Developer stares at screen: 'Monday...

what did I do Monday?' Opens Slack history Opens Git log Opens calendar 'I think I spent 4 hours on AUTH-123... Maybe 2 on that bug fix?

3 in meetings? Lunch was...

did I take lunch?' Result: Best guesses filled in. Nobody actually knows.

Why Developers Hate Time Tracking 1. Context Switches Real developer day: 09:00 - Start AUTH-123 09:12 - Quick Slack question 09:15 - Back to AUTH-123 09:35 - PR review requested 10:05 - Back to AUTH-123 10:15 - Standup 10:30 - Back to AUTH-123 10:45 - Production issue 11:30 - Back to AUTH-123 32 context switches before noon.

How do you track that? 2.

Interruption-Driven Planned: 4 hours on Feature X Actual: - 1.5 hours Feature X - 45 min helping teammate - 30 min incident response - 1 hour meetings - 15 min timesheet entry 'Feature X: 4 hours' → Wrong but submitted anyway. 3.

Mental Load Manual tracking requires: - Remember to start timer - Remember to stop timer - Remember to switch tasks - Remember to categorize - Remember at end of day/week Developers: Have better things to remember. 4.

Inaccuracy Studies show: - Manual time tracking has 40%+ error - Most people overestimate focused time - End-of-day logging loses nuance - Rounding distorts reality Garbage in, garbage out. Why Accurate Time Data Matters 1.

Project Estimation 'How long will Feature X take?' Without data: 'Maybe 2 weeks?' With data: 'Similar features averaged 47 hours. At our velocity, ~3 weeks.' 2.

Client Billing Agency billing client: Inaccurate: 'We think we spent about 80 hours.' Accurate: 'We have 87.5 logged hours with task-level breakdown.' Client trust = accurate invoices. 3.

Capacity Planning How much time do we actually have? Inaccurate: '5 devs × 40 hours = 200 hours' Accurate: '5 devs × 28 available hours (after meetings, admin) = 140 hours' 4.

Cost Analysis What did Feature X actually cost? Inaccurate: '2 sprints = whatever that cost' Accurate: '156 developer hours + 12 PM hours = $16,800' GitScrum Time Tracking Automatic Time from Git Branch Created └─ Timer starts for linked task Commits Made └─ Activity recorded (proof of work) PR Opened └─ Time logged against task PR Merged └─ Timer stops, final time recorded Developer does: Write code GitScrum does: Track time How It Works 1.

Task Assignment Dev picks up AUTH-123 2. Branch Creation $ git checkout -b feature/AUTH-123-oauth GitScrum: ├─ Detects branch creation ├─ Finds linked task AUTH-123 ├─ Starts time tracking └─ Records: 'Work started 10:03 AM' 3.

Development Time Dev works on feature... Commits: - 10:45 AM: 'Initial OAuth setup' - 11:30 AM: 'Add token refresh' - 2:15 PM: 'Fix callback handling' GitScrum: ├─ Records commit timestamps ├─ Calculates active time ├─ Excludes obvious gaps (lunch, meetings) └─ Tracks: '3h 15m active development' 4.

PR and Merge Dev opens PR at 2:30 PM Review at 3:00 PM Merge at 3:45 PM GitScrum: ├─ Records PR creation time ├─ Records merge time └─ Final log: '4h 12m on AUTH-123' Time Entry Created: AUTH-123 - Implement OAuth ────────────────────────── Date: Dec 15, 2024 Duration: 4h 12m Type: Development Source: Git (automatic) Activity: ├─ 10:03 - Branch created ├─ 10:45 - Commit: Initial OAuth setup ├─ 11:30 - Commit: Add token refresh ├─ 14:15 - Commit: Fix callback handling ├─ 14:30 - PR opened └─ 15:45 - PR merged Manual Tracking Option For non-code work: Meetings: - One-click timer start/stop - Or manual entry - Category: Meeting Research: - Manual entry with notes - Category: Research/Investigation Reviews: - PR review triggers time tracking - Category: Code Review Flexibility for all work types. Time Reports Weekly Summary: Week of Dec 9-15 ═══════════════ Developer: Sarah Chen Total: 41h 23m By Category: ├─ Development: 28h 15m (68%) ├─ Code Review: 6h 30m (16%) ├─ Meetings: 4h 45m (11%) └─ Other: 1h 53m (5%) By Project: ├─ Project Alpha: 22h 30m ├─ Project Beta: 15h 20m └─ Internal: 3h 33m By Task (Top 5): ├─ AUTH-123: 8h 15m ├─ AUTH-128: 6h 45m ├─ BUG-456: 4h 30m ├─ API-789: 4h 15m └─ Various: 17h 38m Client Billing View For agencies: Client: Acme Corp Project: Dashboard Rebuild Period: Dec 2024 ════════════════════════════════════════ Task │ Hours │ Rate │ Amount ══════════════╪═══════╪════════╪════════ AUTH-123 │ 8.25 │ $150 │ $1,237 AUTH-128 │ 6.75 │ $150 │ $1,012 BUG-456 │ 4.50 │ $150 │ $675 API-789 │ 4.25 │ $150 │ $637 ──────────────┼───────┼────────┼──────── Total │ 23.75 │ │ $3,561 ════════════════════════════════════════ Export: [PDF] [CSV] [QuickBooks] Accurate, detailed, billable.

Capacity Analysis Team capacity view: Team: Backend (5 devs) Period: Q4 2024 Total Hours: 2,340h logged Breakdown: ├─ Coding: 1,520h (65%) ├─ Code Review: 280h (12%) ├─ Meetings: 350h (15%) ├─ Planning: 120h (5%) └─ Other: 70h (3%) Insights: ├─ 35% of time is non-coding ├─ Average 26h/week actual coding ├─ Meeting load increasing (+12% vs Q3) Data-driven capacity planning. Estimation Improvement With historical time data: New Feature X Request Similar past features: ├─ AUTH-123: 8.25h (OAuth implementation) ├─ AUTH-089: 12.5h (SSO integration) ├─ AUTH-067: 6.75h (Password reset) Estimate for Feature X: ├─ Based on similarity: OAuth type ├─ Suggested estimate: 8-10 hours ├─ Confidence: High (multiple data points) 'About 2 days' → '8-10 hours based on similar work' Vs Toggle/Harvest Dedicated time trackers: ✓ Detailed time tracking ✓ Good reporting ✗ Separate from PM tool ✗ No Git integration ✗ Manual entry required ✗ Additional cost GitScrum: ✓ Integrated with PM ✓ Git-automated tracking ✓ Minimal manual entry ✓ Reports included ✓ $8.90/user (2 free) Vs Jira Time Tracking Jira: ✓ Has time logging ✗ All manual entry ✗ Worklog is tedious ✗ No Git automation ✗ Reports need plugins GitScrum: ✓ Git-automated ✓ Manual option when needed ✓ Built-in reports ✓ $8.90/user Vs No Tracking No time tracking: ✓ Zero overhead ✗ No billing accuracy ✗ No estimation data ✗ No capacity insights ✗ Blind to actual effort GitScrum: ✓ Minimal overhead (Git-automated) ✓ Accurate billing ✓ Estimation improvement ✓ Capacity visibility ✓ $8.90/user (2 free) Privacy and Trust Time tracking concerns: 1.

Not Big Brother GitScrum tracks work time, not: - Keystrokes - Screenshots - Application usage - Webcam Code activity, nothing more. 2.

Developer Owned Developers see their own data. Can adjust/annotate.

Transparent, not surveillance. 3.

Aggregate Reporting Team reports show totals. Not second-by-second tracking.

Focus on outcomes, not monitoring. Pricing 2 users: $0/month (free forever) 5 users: $26.70/month 10 users: $71.20/month 25 users: $178/month Includes: - Git-automated time tracking - Manual time entry - Time reports - Client billing views - Export options - All PM features No time tracking tier.

All plans include full time features. Getting Started 1.

Enable time tracking in settings 4. Work normally - Git activity creates time entries 5.

Review weekly summaries 6. Export for billing/analysis $8.90/user/month.

2 users free forever. Accurate time tracking without the tracking burden.

The GitScrum Advantage

One unified platform to eliminate context switching and recover productive hours.

problem.identify()

The Problem

End-of-week timesheet guessing - nobody remembers what they did Monday

Manual time tracking impossible with constant context switches throughout day

Timesheet data is inaccurate - 40%+ error rate on manual entries

Time tracking feels like surveillance creating developer resistance

No connection between time entries and actual code work

Cant improve estimates without historical time data per task type

solution.implement()

The Solution

Git activity creates automatic time entries - branch created starts timer, PR merged stops it

Commit timestamps provide accurate work session records without manual entry

Time data reflects actual code activity - not guesses or approximations

Developer-owned data they can review and adjust - transparent not surveillance

Every time entry linked to task, commit, and PR - complete traceability

Historical time data by task type enables accurate future estimation

workflow.steps()

How It Works

Connect Repository

Link GitHub or GitLab to GitScrum. Enable time tracking in project settings.

Work Creates Time Entries

Branch creation starts timer. Commits record activity. PR merge stops timer. Time automatically logged to linked task.

Review and Adjust

Weekly time summary shows logged hours. Developers can add notes, adjust categories, or add manual entries for non-code work.

Report and Bill

Generate time reports by project, client, or team member. Export for billing or analysis.

expertise.verify()

Why GitScrum

GitScrum addresses Time Tracking in Project Management - Automatic Hours from Git Activity through Kanban boards with WIP limits, sprint planning, and workflow visualization

Methodology

Problem resolution based on Kanban Method (David Anderson) for flow optimization and Scrum Guide (Schwaber and Sutherland) for iterative improvement

Capabilities

Kanban boards with WIP limits to prevent overload
Sprint planning with burndown charts for predictable delivery
Workload views for capacity management
Wiki for process documentation
Discussions for async collaboration
Reports for bottleneck identification

Industry Practices

Kanban MethodScrum FrameworkFlow OptimizationContinuous Improvement

features.related()

Related Features

View all features

Time Tracking

Core time tracking feature with Git automation, manual entry, and comprehensive reporting

Git Integrations

Git events drive automatic time tracking - branch, commit, and PR activity creates time entries

Kanban Boards

Visual project management that actually fits how {vertical} work. Create unlimited Kanban boards with custom columns—from 'Client Review' to 'Ready to Deploy'—and set WIP limits that prevent the bottlenecks {city} teams know too well. Every card, comment, and status change syncs instantly across devices, so whether your {vertical} team is in the office or remote across {city}, everyone sees the same real-time picture.

Sprint Planning

Sprint time tracking shows actual hours invested per sprint vs planned capacity

Team Management

Junior devs shouldn't access client billing. Contractors shouldn't see other projects. Set granular permissions that match how {vertical} actually work—by role, project, or even specific boards. Invite freelancers in {city} with time-limited access, track who did what, and revoke credentials in one click.

Frequently Asked Questions

Still have questions? Contact us at customer.service@gitscrum.com

Is this like surveillance software that monitors my screen?

No. GitScrum only tracks Git activity - branch creation, commits, and PRs. No screenshots, keystrokes, or application monitoring. You see exactly what's tracked, and can add notes or adjust entries. It's work tracking, not surveillance.

What about time spent on non-coding work like meetings?

You can add manual time entries for meetings, research, planning, or any non-code work. The Git automation handles coding time; manual entry handles everything else. Both types appear in your time reports.

How accurate is the Git-based time tracking?

Very accurate for active coding time. Branch creation marks start, commits show activity, PR merge marks completion. GitScrum uses intelligent gap detection to exclude obvious non-work time (multi-hour gaps). It's more accurate than manual entry because it's based on actual code events.

Can clients or managers see my minute-by-minute activity?

No. Reports show totals by task, day, or project - not second-by-second tracking. The detailed commit timeline is visible only to you and can be summarized for reports. The goal is accurate billing and estimation, not micromanagement.