ibttf/interview-coder

An invisible desktop application to help you pass your technical interviews.

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Summary Information

Updated 1 hour ago
Added to GitGenius on September 15th, 2026
Created on November 17th, 2024
Open Issues & Pull Requests: 5 (+0)
GitHub issues: Enabled
Number of forks: 704
Total Stargazers: 4,447 (+0)
Total Subscribers: 45 (+0)

Repository Insights (GitGenius)

Median issue/PR response: 11.3 hours
Mean response time: 4.3 days
90th percentile: 16.3 days
Tracked items: 78

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Issue Activity (beta)

Open issues: 5
New in 7 days: 0
Closed in 7 days: 0
Avg open age: 501 days
Stale 30+ days: 5
Stale 90+ days: 5

Recent activity

Opened in 7 days: 0
Closed in 7 days: 0
Comments in 7 days: 0
Events in 7 days: 0

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Detailed Description

Interview Coder is a desktop application that assists with technical interview preparation by running invisibly during interviews.

The tool addresses the challenge of performing well under pressure during technical interviews by providing real-time support. It operates as a background application that candidates can access during live coding sessions, leveraging AI capabilities to help with problem-solving and code generation without being visibly apparent to interviewers.

The application is built as an Electron-based desktop tool, making it available across multiple platforms. It integrates with OpenAI's capabilities to provide intelligent assistance. This approach suits candidates preparing for technical interviews who want supplementary help during the actual interview process. The tool's invisible operation model distinguishes it from study platforms or practice environments, positioning it for use during live interview scenarios rather than preparation phases.

The project is distributed exclusively through its releases page, with no active development visible in the main repository. The codebase appears to be in a stable, release-only state rather than undergoing active feature development or maintenance cycles.