AI diagnostics to optimize VS Code extensions for crash-free projects
Students learning full-stack development face frequent crashes in VS Code extensions during large coding projects, halting their progress.
Upload your VS Code extensions list and workspace config to our web app for instant AI scans detecting crash-prone setups. Get personalized safe configs, extension replacements, and health scores designed for large full-stack student projects, applied with one download.
Students learning full-stack development through large coding projects
Preemptive extension optimization using ML trained on student crash data, preventing issues before they halt progress
professional
Uploads and analyzes installed extensions
Reviews settings.json for conflicts
Scores setup stability for large projects
Downloads optimized settings/extensions list
Detailed crash predictions and fixes
Alerts on risky extension updates
Simulates large project load
Crowd-sourced solutions
| Column | Type | Nullable |
|---|---|---|
| id | uuid | No |
| text | No |
| Column | Type | Nullable |
|---|---|---|
| id | uuid | No |
| user_id | uuid | No |
| health_score | int | No |
| created_at | timestamp | No |
Relationships:
| Column | Type | Nullable |
|---|---|---|
| id | uuid | No |
| scan_id | uuid | No |
| extension_name | text | No |
| risk_level | text | No |
Relationships:
/api/scanSubmit config for analysis
/api/scansList user scans
/api/config/:scanIdDownload optimized config
Basic report
None
None
| Month | Users | Conversion | MRR | ARR |
|---|---|---|---|---|
| Month 1 | 120 | 1.5% | $45 | $540 |
| Month 6 | 900 | 3.5% | $787 | $9,444 |
AI-powered scans for stable full-stack development – perfect for student projects.
Create free scan tool on landing, promote in r/vscode and freeCodeCamp forums. Email top responders with Pro discounts. Partner with 1 bootcamp Discord for group trial.
AI coding
Not extension-focused
Targeted crash prevention
ML model improving with anonymized scan data moat
Proliferation of untested extensions with AI boom overwhelming student setups
AI diagnosis inaccuracy
Human-curated rules + feedback loop
Low repeat scans
Update monitoring feature
Success: 200 scans
Success: 10% conversion
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