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Best AI Interview Assistant For Software Engineers: My Choice linkjob.ai
I have now finished my interviews for various positions, so I can tell you that Linkjob AI is the best AI interview assistant for software engineers preparing for and doing interviews.
I couldn’t find an AI tool for software engineering interviews, and was even resistant to the idea. But since I started relying on Claude for coding and seeking useful, efficient skills, I had a new need: I needed an AI interview tool that was specially designed for interviews, especially those AI for software engineering roles. I tried it out, writing a bunch of reviews (including one Cluely review, one InterviewMan review, and one Interview Hammer review, just to name a few). In the end, I went with Linkjob AI, and I’ve definitely seen a big boost in both my performance and my confidence.
I practised with it, advanced to the final interview stage more frequently, and received higher salary offers. I used Linkjob AI to receive clear feedback during both the final remote interviews and the initial OAs. In the following article, I’ll explain how Linkjob AI met these requirements and helped me improve my interview skills.
Choosing the Best AI for Software Engineer Interviews

Key Evaluation Criteria
When I started researching the best AI software for engineers, it became clear that not all the tools out there are created equal. What I’m really looking for is something that will help me to improve how I perform in interviews and also make the preparation process a bit easier. Here’s how I evaluated the options:
- Accuracy: I needed the AI to give me reliable answers and help me spot mistakes in my coding. If the tool made errors or gave vague feedback, it wasn’t useful.
- Relevance: The questions and scenarios had to match what real interviews ask. I wanted to practice and do SWE interviews
- Usability: I looked for tools that were easy to use. If the interface was confusing, I wasted time instead of focusing on preparation.
- Feedback Quality: I wanted detailed feedback, not just a score. The best tools explained why their answers worked, and helped me improve my communication as an engineer.
- Invisibility: I really needed something that helps invisibly in my interviews, not those so-called AI interview assistants that can be seen during full-screen sharing (normally are browser-based or need a second screen).
Industry experts say that evaluating candidates’ true technical skills is tough without AI tools. They also mention concerns about the quality of AI-generated code and the importance of assessing cognitive skills. I found that the best AI for software engineers should help candidates demonstrate applied reasoning, domain context, and problem framing. It should also support prototyping and software engineering practices, and encourage research rigor and critical thinking.
Here’s a quick look at how leading AI tools stack up:
| Tool Name | Accuracy | Relevance | Usability | Feedback Quality | Invisiblity |
|---|---|---|---|---|---|
| Parakeet AI | Medium | High | Medium | Medium | ✅ |
| Linkjob AI | Medium | High | Variable(needs exploring) | High | ✅ |
| Lockedin AI | Medium | Limited | Limited (can be seen) | Medium | Only when Stealth Mode is on |
| Beyz AI | High | Medium | Medium | Medium | ❌ |
| ChatGPT roleplay | Low | Medium | Variable | Low | ❌ |
As well as these third-party tools, which are designed to run various LLM models, there are also official practice platforms like HackerRank AI Mock. But to be honest, these types of simulations are only really suitable for simple open-ended assessment (OA) questions. They don’t offer the same kind of comprehensive testing experience you get in real-time interviews.



























