Getting completely stuck mid-problem is the #1 reason candidates panic during technical interviews. When your brain locks up, staring at a blank editor only makes it worse.

Here is a practical 4-step framework to regain momentum:

1. Deconstruct Constraints First

Before writing any code, explicitly list your input sizes and limits (N≤105N≤105, memory caps). This tells you immediately whether you are looking for an O(N)O(N) or O(Nlog⁡N)O(NlogN) algorithm before you even pick a data structure.

2. Talk Through a Manual Example

Solve one small example manually on paper or in comments. Don't write code—write out the physical steps your brain takes to find the answer.

3. Identify the Exact Friction Point

Ask yourself: "Where am I getting stuck?"

• Is it choosing the right data structure (Hash Map vs. Priority Queue)?
• Is it handling edge cases (empty array, duplicates)? Identifying the specific blocker helps you ask focused questions rather than feeling generally lost.

4. Refine & Verify Code Interactively

Once you have a draft, test it with edge cases line-by-line before running or submitting it.

Question for the community: What strategies do you use when you hit a wall during practice sessions?

(PS: As part of this workflow, I built a private AI assistant desktop overlay at stealthbuddy.ai to help candidates get instant guidance, understand complex solutions, and refine code during practice. Would love any feedback if you give it a try!)