2 min lesson
Know current product behavior well enough to explain it plainly
Take this situation. "During a demo, the interviewer asks for a source code retention detail you cannot verify. What should you do?" Lead with your decision, then add the reason.
Step 1 of 3
Know current product behavior well enough to explain it plainly. Check the documentation before the interview because model options, Agent behavior, privacy terms and enterprise controls change.
- Alternative
- GitHub Copilot
- A defensible comparison
- Acknowledge what the buyer already values. Compare the exact workflows in the evaluation instead of claiming a universal winner.
- Alternative
- Another AI editor
- A defensible comparison
- Run the same buyer task in the same repository in both tools and compare the reviewable result.
- Alternative
- Command line agents
- A defensible comparison
- Compare where editor context, terminal work, remote execution and review fit the team's current process.
- Alternative
- The current setup
- A defensible comparison
- Measure the cost of leaving the workflow unchanged. Doing nothing is often the real alternative.
| Alternative | A defensible comparison |
|---|---|
| GitHub Copilot | Acknowledge what the buyer already values. Compare the exact workflows in the evaluation instead of claiming a universal winner. |
| Another AI editor | Run the same buyer task in the same repository in both tools and compare the reviewable result. |
| Command line agents | Compare where editor context, terminal work, remote execution and review fit the team's current process. |
| The current setup | Measure the cost of leaving the workflow unchanged. Doing nothing is often the real alternative. |
Compare products on the buyer's work and current evidence. Avoid claims you cannot verify.
An unknown security or privacy question is a test of judgment. Separate what you know from what you need to verify, then learn which requirement decides approval.
Interactive diagram. Tab through its regions; each focused region shows its detail in the panel below.
A precise limit builds more trust than a confident claim that later proves wrong.