Welcome to Shared IDE
Shared IDE is an advanced, browser-based collaborative coding platform designed to replace traditional, limited tech interview editors. It provides real-time collaboration between two users, allowing them to run code with terminal-like output and leverage AI assistance. The platform is built to support pair programming and makes technical interviews more dynamic and interactive.
Key Features:
- Seamless Real-time Collaboration: Two users can work together on the same code in real time, with updates visible to both participants immediately. Ideal for technical interviews, coding sessions, and debugging, all within a shared and intuitive environment.
- AI Assistance: Integrated AI available for code suggestions and enhancements. The AI can be enabled or disabled by the session creator and it applies equally to both participants to ensure a fair experience. Access to certain AI functionalities differ slightly between the session creator and the guest participant.
- Code Editor with Run Code: A fully-featured, browser-based code editor that replaces traditional tech interview notepad-like editors. Includes a "Run Code" option to execute code directly in the editor, with terminal-like output for debugging and troubleshooting.
- Chat Feature: Integrated chat functionality allows participants to communicate seamlessly within the session, improving collaboration and team-based problem-solving.
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AI is the Future
And that applies to coding interviews too!
Let us be clear: we are not promoting nor implementing a system where AI takes over the entire interview process or makes any of the final decisions. We firmly believe that humans should continue to do what they do best – making critical, thoughtful evaluations based on context, judgment, and empathy. AI, on the other hand, can be leveraged to handle the aspects it excels at, such as preparing coding tasks, analyzing different solutions, and highlighting the positive aspects of a candidate's performance. Our vision is to enhance the interview process by combining the strengths of both humans and AI, not to replace one with the other.
We want to emphasize that as the tech industry continues to evolve, the way we conduct coding interviews must evolve with it. Integrating AI into the interview process can bring significant benefits to both interviewers and candidates, addressing many of the flaws in traditional interview setups. By including AI features, we ensure fairness, better evaluations, and a more supportive environment for all.
For Interviewers
The reality is that many are not trained to conduct interviews effectively. Personal biases, lack of preparation, or simply being overburdened with other tasks can lead to unfair assessments.
AI offers a solution by assisting interviewers in making more informed, unbiased evaluations, even when they are not fully prepared. It ensures that every candidate is evaluated against the same criteria, helping interviewers focus on assessing relevant skills rather than getting sidetracked by minor mistakes or personal preferences.
Additionally, many interviewers may already be using AI behind the scenes - whether it's to prepare for the interview, check code, or analyze results - without candidates knowing. This creates an imbalance, as candidates are unaware of the tools being used against them, and this can erode trust in the process. By officially incorporating AI into the process for both sides, we create a level playing field and enhance transparency.
For Candidates
Coding interviews can be an anxiety-inducing experience. The pressure of a blank editor often leads to 'coder's block,' where the stress of the moment prevents candidates from thinking clearly.
AI can step in to provide hints and guidance when candidates are stuck, offering the kind of support that an interviewer might be unable or unwilling to provide. This doesn’t make the interview easier, but it makes it fairer - allowing candidates to showcase their real abilities without being tripped up by nerves or minor setbacks.
It ensures the interview focuses on assessing true skills, rather than simply how well someone handles the pressure of an artificial environment. Moreover, traditional interviews often focus on tasks like recalling syntax or solving problems that AI can already handle. With AI support, we can move beyond testing trivial skills and instead assess higher-level thinking, creativity, and problem-solving - skills that truly matter in today’s tech landscape.
During The Interview
By implementing AI, we also shift the focus of interviews from reasons to reject a candidate to reasons to hire them. AI can help interviewers spot the strengths and potential in candidates, rather than focusing on mistakes or irrelevant details. This allows the process to be more productive, saving time for both interviewers and candidates. We avoid comparing candidates to AI by asking them to perform tasks that machines already excel at; instead, we focus on what humans can uniquely bring to the table.
AI-enabled coding interviews are not just the future - they’re the better way forward. They create a fair, supportive, and transparent process that benefits both interviewers and candidates. By eliminating bias, reducing anxiety, and focusing on the skills that truly matter, AI transforms interviews into a more effective and modern approach to hiring.
Post Interview & Rejection Emails
At Shared IDE, we believe there's no longer any excuse for sending out generic rejection emails. Our AI integration takes this traditionally unpleasant and often unhelpful part of the hiring process and makes it better, even useful, for candidates. We respect the time and effort each candidate devotes to preparing for an interview, which is why they deserve more than just a template email. Instead of cold, impersonal messages, our AI analyzes a candidate's performance during the interview and generates personalized feedback. This allows us to provide detailed insights and suggestions for improvement tailored to each individual. Rejection emails no longer have to signify the end of the process; they can become a tool for growth.
With our AI integration, we are transforming the essence of 'rejection emails.' Rather than just delivering bad news, we provide meaningful feedback that candidates can use to enhance their skills and prepare for future opportunities. There's no need for rejection emails to be harsh or dismissive when we have the capability to offer real value. At Shared IDE, we are committed to raising the standard, and our AI integration makes it possible for us to do better by turning rejection into an opportunity for growth.
Shared IDE stands at the forefront of innovation, offering a groundbreaking approach to coding interviews with our powerful AI integration. We are not just transforming the interview process, but elevating it for everyone involved. By blending human insight with AI capabilities, we create a fair, supportive, and transparent experience for both interviewers and candidates. Our AI integration helps streamline the process, from preparing coding tasks to providing personalized feedback after the interview. With Shared IDE, the entire journey—before, during, and after the interview—becomes more efficient, productive, and human-centered. We believe that interviews should be about finding reasons to hire, not reject, and our AI integration makes this vision a reality. Experience the future of coding interviews with Shared IDE, where technology works for you, not against you.