What kinds of AI tools are you using daily in your software development? And how are those AI tools changing your daily work?

In my daily software development work, I use several types of AI tools:

1. Code assistants

Tools: ChatGPT, GitHub Copilot, Cursor
How I use them:

• Writing boilerplate and repetitive code

• Refactoring and optimizing existing code

• Understanding unfamiliar or legacy codebases

• Exploring alternative approaches or patterns

2. Testing and QA support

Tools: ChatGPT, Testim
How I use them:

• Generating test cases and edge scenarios

• Improving test coverage ideas

• Supporting exploratory testing and risk analysis

• Speeding up unit and regression test creation

3. Debugging and analysis

Tools: ChatGPT, Sentry (with AI insights)
How I use them:

• Interpreting stack traces and error logs

• Root-cause analysis of production issues

• Performance bottleneck identification

• Faster incident investigation

4. Documentation and communication

Tools: ChatGPT, Notion AI, Confluence AI
How I use them:

• Writing and refining technical documentation

• Creating clear PR descriptions and release notes

• Summarizing meetings and technical discussions

• Improving clarity and tone in stakeholder communication

These tools have shifted my work from manual execution to higher-value thinking. I spend less time on repetitive tasks and more time on architecture, quality, and decision-making. AI doesn’t replace experience—it amplifies it.

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