16/09/2026
How do our developers use AI in their day-to-day work? We asked Lev, Senior Software Developer at RCXAnalytics. No magic here: just routine tasks, tricky production bugs, and new skills that level up every engineer.
Sharing his insights below 👇
💬 What tasks and routine processes does the team trust in artificial intelligence?
"- Initial root-cause analysis and error log review (including environment comparison).
- Creating Jira tickets and filling out data tables.
- Generating manual test cases from automation code.
- Proposing technical solutions and writing code based on ready requirements (with mandatory human review due to occasional hallucinations)."
💬What is the most unusual or coolest case you've recently solved using neural networks?
“We had a production bug where data was getting lost in a process iterating over hundreds of thousands of DB records (reproducible only in production). After two hours of thinking, Claude came up with a working hypothesis. We used it to prompt a fix, deployed it to prod, and the issue was gone”
💬What skills will become the most important in a couple of years?
“The ability to focus on mundane data and formulate precise prompts (acting as an AI prompt engineer).
The skill to properly break down tasks into isolated components so the AI doesn't get confused and helps implement things layer by layer. Surprise, surprise: these are the exact same skills that make a great engineer today.“