Description
OpenNezt is an innovative AI-augmented coding assessment platform that shifts the focus from merely evaluating final code output to understanding how developers interact and collaborate with AI coding assistants. In an era where 77% of developers utilize AI daily, traditional assessment tools often fail to capture the nuances of this workflow, leaving hiring teams with an incomplete picture of a candidate's true skills.
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The platform addresses key challenges faced by hiring teams, such as the inability to assess AI coding tool usage, limited visibility beyond the final output, and the inconsistencies of manual code reviews. OpenNezt captures the full coding session, logging every IDE action from AI prompts, code diffs, AI output, error traces, terminal runs, keystrokes, and test results. This comprehensive data is then transformed into a structured, evidence-based hiring report, providing all the necessary context for informed decision-making.
Candidates can complete assessments on their preferred IDEs, including Visual Studio Code, IntelliJ IDEA, Cursor, and PyCharm, by installing a lightweight extension. This ensures that the assessment environment closely mirrors their actual day-to-day programming experience. The platform summarizes hours of coding activity into minutes of readable insights, presenting every debug step, code change, and AI interaction in a continuous storyline. Sessions are fully replayable, allowing reviewers to scrub the timeline, skip to key moments, and review with complete context, much like watching a YouTube video.
Built by experienced engineers, OpenNezt is designed by CTOs for CTOs. The setup process is straightforward: define the task, configure evaluation criteria, and invite candidates with a single link. The system automates the logging process, running silently in the background while candidates work naturally. The screening report eliminates the need for line-by-line code review, enabling hiring managers to make defensible decisions based on concrete evidence.
OpenNezt encourages the use of AI assistants during assessments, recognizing that most developers integrate AI into their daily work. By capturing every prompt, iteration, and decision, the platform allows tech leads to discern whether a candidate directs AI with intent or merely relies on it. Furthermore, the platform offers customizable evaluation criteria, allowing teams to weight dimensions such as code quality, prompting strategy, iteration, debugging, and verification to align with specific role requirements and seniority levels.
- CategoryAI Recruiting Tools
- Pricing ModelNot specified
- DeploymentCloud
- PlatformsVisual Studio Code, IntelliJ IDEA, Cursor, PyCharm
OpenNezt's Core Features
AI-augmented coding assessment
Evaluates developer collaboration with AI coding assistants
Captures every IDE action (AI prompts, code diffs, terminal runs, error traces, keystrokes)
Generates evidence-based hiring reports
Supports popular IDEs (Visual Studio Code, IntelliJ IDEA, Cursor, PyCharm)
Full coding session capture and replayability
Summarizes hours of coding into minutes of review
Continuous storyline of debug steps, code changes, and AI interactions
Automated assessment setup and candidate invitation
Customizable evaluation criteria (code quality, prompting strategy, debugging)
Allows and assesses AI assistant usage during tests
Provides insights into candidate problem-solving processes
Lightweight extension for candidate IDEs
No proctoring software or custom environment configuration needed
Defensible hiring decisions backed by evidence
How to use OpenNezt?
Set Up Assessments: Define your task, configure evaluation criteria, and invite candidates with a single link.
Complete Tests on IDEs: Candidates install a lightweight extension and work in their preferred IDEs as they normally would.
View Screening Report: Access a structured report summarizing the full coding session, including AI interactions and code changes.
Review Actions: Replay the entire session, scrub the timeline, and review every action with complete context to understand problem-solving.
OpenNezt's Use Cases
- AI Developer Hiring
- Technical Skill Evaluation
- Workflow Analysis
- Consistent Candidate Review
- Reducing Manual Review Time
- Evaluating Debugging Skills
- Assessing Prompting Strategy
- Customized Role Assessments
