Editorial starter example. Original guide created for the Devex launch; not research, a user testimonial, or a report of community activity.
A demo shows a selected path. To understand whether a tool fits your team, evaluate tasks with your actual constraints: existing code, incomplete requirements, and limited time.
Choose a small, varied sample
Select representative tasks: fixing a bug, adding a small behavior, understanding unfamiliar code, and writing a test. Use code you are allowed to share with the tool. Do not select only tasks it has already solved in a demonstration.
Define success in advance
For each task, write the expected result, boundaries that must hold, and a way to check. Set stopping conditions too, such as an unsafe change or review time exceeding your budget. This avoids changing the measure after seeing an impressive result.
Keep conditions comparable
Give each attempt a similar starting point and record the tool version, settings, context, and assistance you provided. If the second attempt benefits from a lesson discovered in the first, say so. You can aim for a fair comparison without calling it a controlled study.
Measure the whole journey
- Result: Is the requirement satisfied without breaking existing behavior?
- Effort: How much direction, review, and correction was needed?
- Understanding: Can another person explain and maintain the change?
- Cost: What did the attempt actually cost, and what is still unknown?
Time to the first code suggestion is only part of the story. Track time to an acceptable result too.
Make a bounded decision
A useful conclusion might be: “This tool fits initial test drafts in this part of our codebase, provided a person reviews them.” That is more precise than declaring it the best tool for all development work.
Discuss: Which hidden cost would you add: preparing context, rerunning checks, or maintaining the result?