Coding Time

The "Coding" stage represents the average time taken by developers to write and commit the code changes.

For all the merged PRs, Typo calculates the average time between the first commit of that Pull Request to that Pull Request being raised for review. In the case of squashed commits (that merge earlier commits), the last available commit associated with the Pull Request is considered to be the first commit - this might impact the actual Coding Time.

Benchmarking coding time helps teams identify areas where developers may be spending excessive time, allowing for targeted improvements in development processes and workflows. It also enables better resource allocation and project planning, leading to increased productivity and efficiency.

How does measuring coding time help in improving the Engineering teams' efficiency?

1. Identifying bottlenecks: By tracking coding time, teams can pinpoint tasks or processes that consume excessive time, allowing them to address bottlenecks and streamline workflows.

2. Resource allocation: Understanding how time is allocated across different tasks and projects helps teams allocate resources more effectively, ensuring that developers are working on high-priority tasks.

3. Performance evaluation: Coding time metrics provide insights into individual and team productivity, enabling managers to identify top performers and areas for improvement.

4. Improving estimation accuracy: Historical coding time data can be used to improve the accuracy of project estimations, leading to better planning and more realistic deadlines.

5. Encouraging accountability: Transparent tracking of coding time fosters accountability among team members, encouraging them to manage their time more effectively and stay focused on delivering results.