Cmd Trace Windows

F 48 completed
Other
web_app / swift · small
116
Files
32,407
LOC
4
Frameworks
8
Languages

Pipeline State

completed
Run ID
#1264522
Phase
done
Progress
0%
Started
2026-04-15 20:50:45
Finished
2026-04-15 20:50:45
LLM tokens
0

Pipeline Metadata

Stage
Cataloged
Decision
proceed
Novelty
79.67
Framework unique
Isolation
Last stage change
2026-05-10 03:34:36
Deduplication group #65075
Member of a group with 1 similar repo(s) — this repo is canonical view group →
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AI Prompt

Create a Windows desktop application called CmdTrace using React, Electron, and Tailwind CSS. The app needs to view and organize AI coding assistant conversations stored in JSONL files. Key features must include advanced searching using operators like `tag:`, `project:`, `is:`, and `date:`. Users should be able to organize sessions with custom names, tags, and projects, and mark favorites. The interface should display a conversation view, an insights tab showing token usage, and a dashboard with summary stats and activity charts. Also, implement functionality to export sessions as Markdown, JSON, or HTML.
electron react tailwindcss windows desktop-app ai-assistant file-viewer json typescript web-app
Generated by gemma4:latest

Catalog Information

Create a Windows desktop application called CmdTrace using React, Electron, and Tailwind CSS. The app needs to view and organize AI coding assistant conversations stored in JSONL files. Key features must include advanced searching using operators like tag:, project:, is:, and date:. Users should be able to organize sessions with custom names, tags, and projects, and mark favorites. The interface should display a conversation view, an insights tab showing token usage, and a dashboard with

Tags

electron react tailwindcss windows desktop-app ai-assistant file-viewer json typescript web-app

Quality Score

F
47.8/100
Structure
50
Code Quality
42
Documentation
55
Testing
0
Practices
64
Security
92
Dependencies
90

Strengths

  • Consistent naming conventions (PascalCase)
  • Good security practices — no major issues detected
  • Properly licensed project

Weaknesses

  • No tests found — high risk of regressions
  • No CI/CD configuration — manual testing and deployment
  • 8 files with critical complexity need refactoring
  • 2989 duplicate lines detected — consider DRY refactoring
  • 11 'god files' with >500 LOC need decomposition

Recommendations

  • Add a test suite — start with critical path integration tests
  • Set up CI/CD (GitHub Actions recommended) to automate testing and deployment
  • Add a linter configuration to enforce code style consistency

Languages

swift
39.2%
json
30.8%
typescript
12.4%
markdown
8.6%
css
5.3%
html
2.5%
javascript
0.7%
shell
0.4%

Frameworks

React Electron Tailwind CSS Vite

Symbols

property1,600
variable316
method221
struct164
function144
enum31
interface29
constant21
type_alias7
class5
extension3

Quality Timeline

1 quality score recorded.

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