You Ship More Than Ever With AI. So Why Does It Feel Like You Did Nothing Today?

· Source: AI on Medium · Field: Technology & Digital — Software Development & Engineering, Artificial Intelligence & Machine Learning · Depth: Intermediate, medium

Summary

DevFocus is a free, open-source focus timer and day planner for engineers using AI agents in Cursor and VS Code. It tackles the challenge of feeling unproductive and struggling to disengage when AI generates much of the code. Integrated directly into the IDE, DevFocus provides a constrained day plan, limiting tasks to 3-5, capturing other thoughts in a "Later" tray, and focusing on one active task. It paces the day with real breaks, a daily session goal, and a "wind-down" feature that summarizes focused work, making invisible AI-assisted efforts tangible. The tool deliberately avoids gamification like "streaks" and "agent-aware breaks" to prevent guilt and accurately reflect work. Supporting Classic (25/5), Deep Work (50/10), or Custom rhythms, it maintains persistent state and operates fully locally without telemetry. Over 800 engineers use it, available on Open VSX and VS Code Marketplace.

Key takeaway

For software engineers feeling unproductive or struggling to disengage due to AI agents handling much of the coding, you should adopt tools that validate your judgment-based work. Implement a structured day plan directly within your IDE, limiting daily tasks to a manageable few. Prioritize scheduled breaks and utilize features that summarize your focused time, providing tangible proof of your contributions beyond lines of code. This approach helps combat the "did I do enough?" guilt and establishes clear boundaries for your workday, preventing burnout.

Key insights

The AI era shifts developer work from typing to judgment, requiring new tools to track focus and manage disengagement.

Principles

Method

DevFocus integrates a day plan into the IDE, limiting tasks to 3-5, capturing stray thoughts, and enforcing real breaks. It provides a daily goal and a day summary to validate focused work.

In practice

Topics

Code references

Best for: AI Engineer, Machine Learning Engineer, Software Engineer

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Editorial summary, takeaway, and curation by AIssential. Original article published by AI on Medium.