Software developers split their day across coding, debugging, code review, research, meetings, support, and constant context switching. ManicTime helps development teams see where engineering time actually goes, reduce reporting overhead, and understand project effort — with developer-specific context from Git branch tracking, VS Code support, and Visual Studio solution and file tracking.
A developer's day is rarely just uninterrupted coding. Time gets split across feature work, debugging, code review, documentation, support, and team communication.
Starting timers or filling out timesheets adds friction to deep work and usually gets postponed until the end of the day — by which point the detail is gone.
Without good time data, teams struggle to understand how much effort goes into shipping features versus bug fixing, meetings, support, and internal overhead.
Developers move between repositories, branches, tickets, tools, and tasks throughout the day — making end-of-day time entry unreliable.
If engineering time is not visible, estimates, staffing, and delivery planning become harder to trust.
ManicTime runs in the background and automatically tracks computer usage, active time, application activity, and supported URL or document context — so developers can review what they actually worked on instead of reconstructing the day from memory.
ManicTime records activity automatically throughout the day. Developers do not need to start and stop timers — they review what was captured and categorize it when it suits them.
ManicTime automatically detects the active Git repository and branch when tracking files. That makes it easy to connect coding time to specific features, bug fixes, or task streams without manual annotation.
The ManicTime VS Code extension reports the full path of the currently active file to the local ManicTime client. On Windows, ManicTime can also track Visual Studio solution and opened-file context, giving developers much richer detail than basic app-level tracking.
Git repository and branch context can be used in auto-tagging rules, making it easier to attribute coding time to the right project, ticket, or stream of work without manual annotation.
Instead of rebuilding the day from memory, developers can review recorded activity and categorize time more quickly and with better accuracy.
Clearer time data helps teams understand how much effort goes into feature work, maintenance, support, meetings, and interruptions — supporting better planning and delivery estimates.
Software development work happens across more than just writing code. ManicTime helps teams understand time spent on activities such as:
This makes it easier to see how much engineering time is going into planned work versus interruptions and overhead.
See how much of the day goes into uninterrupted development versus meetings, chat, and context-switching costs.
Automatic tracking gives developers visibility without adding another manual process to an already full day.
Repository, branch, application, and file context make it easier to understand what work consumed time and attribute it to the right project.
Better effort data helps engineering leads make more grounded decisions about scope, staffing, and delivery timelines.
Debugging, code review, support, research, and setup work are easier to account for when activity is captured automatically.
ManicTime records computer usage, active time, application activity, and URL context automatically — no timers required.
Learn more ->ManicTime detects the active Git repository and branch when tracking files, adds file-level context from VS Code, and on Windows can track Visual Studio solution and opened-file context.
Learn more ->Review captured activity and assign time to the right project, ticket, or task, or use Git-aware auto-tagging rules to handle recurring attribution automatically.
Learn more ->ManicTime has been tracking developer work since 2008. Over 1 million downloads, 13,000+ customers, and 200,000+ licenses — including engineering teams, individual developers, and software consultancies who need accurate effort data without timer overhead.
Software developers need better insight into effort, workload, and interruptions — but they do not want manual timesheets or timer discipline getting in the way of deep work. ManicTime captures activity automatically so the record exists without any effort from the developer.
Git branch tracking, VS Code file context, and MCP connectivity mean the data is richer than basic app-level tracking — making it genuinely useful for project attribution, planning, and understanding where engineering capacity actually goes.