CodeSense
An AI Code Review Assistant for Early-Stage Development
Team: NextGen Coders
Hackathon: Techvoot AI Hackathon 2026
Category: Developer Productivity & Code Quality
CodeSense is an AI-powered code review assistant that provides early-stage, structured feedback on syntax, logic, security, and maintainability issues.
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What CodeSense Really Is?
What CodeSense
Really Is?
At its core, CodeSense is an AI-powered code review assistant.
Developers submit code through a web interface or repository connection. The system analyses it and returns structured feedback that highlights issues, explains them clearly, and suggests possible fixes. The output supports decision-making without enforcing changes.
Why the Team Choose This Problem?
Why the Team Choose
This Problem?
Code review friction builds up before production.
- Feedback depends on reviewer availability
- Common issues repeat across projects
- Security and logic errors surface late
- Review cycles slow delivery
Over time, this increases rework while reducing clarity. CodeSense was built to introduce consistency and early signals without changing how developers already work.
How the Code Review Flow Works
This system was designed as a complete loop that fits naturally into development routines.
Code Submission
Developers can paste code, upload files, or connect a GitHub repository. No specific formatting or setup is required.
Automated Analysis
The system evaluates code for syntax issues, logic errors, security risks, and maintainability concerns. Analysis considers context rather than isolated patterns.
Structured Feedback
Instead of raw warnings, CodeSense provides explanations tied directly to the code. Each issue includes reasoning and a suggested fix.
Clear Output for Developers
Results are grouped, readable, and optional to apply. Developers choose what to act on and what to ignore.
Review History Access
Each review is stored under the user’s account, allowing developers to revisit feedback and observe recurring patterns over time.
What the Team Focused On During the Hackathon
What the Team Focused On During the Hackathon
During the Techvoot AI Hackathon 2026, Team NextGen Coders focused on one practical goal: helping developers catch issues earlier without adding another tool that demands process changes.
The aim was to support everyday development, not replace human review or introduce new workflows.
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Why Developers Would Actually Use This
Why Developers Would Actually Use This
CodeSense supports developers during daily development work.
- Faster feedback during early coding stages
- Fewer repeated mistakes across projects
- Clear explanations without manual review wait times
- Better-prepared code before human review
What it offers:
The system supports quality without interfering with developer judgment.
The Technology Behind the Scenes
- Frontend: React with Monaco Editor
- Backend: Node.js (Express)
- Database: MongoDB
- AI Layer: OpenAI Router (GPT-3.5 Turbo)
Solution Walkthrough
Upload Code
Developers can submit code by pasting snippets, uploading files, or connecting a GitHub repository, allowing flexibility without requiring additional setup.
Code Report
Displays a consolidated review including code quality score, critical issues, warnings, passed checks, suggested fixes, and a contextual discussion linked directly to the analysed code.
Issues & Solutions
Lists identified issues with clear explanations and provides actionable suggestions, along with an option to apply recommended fixes directly where applicable.
Review History
Maintains a record of past reviews showing total issues identified, average quality score, lines of code analysed, fixes applied, and detailed project-level history.
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