L.I.F.E AI Enhancer — Smarter AI Suggestions for Every Developer
⚡ Get Started in 30 Seconds
- Install → Extension activates automatically
- Code → L.I.F.E learns from your Copilot accepts/rejects
- See results → Click the sparkle icon in status bar for metrics
No sign-in required. 10 free optimizations per day, unlimited with Microsoft account.
Install → open a code file → get better suggestions in under a minute.
- Boost suggestion quality — Suppresses noisy Copilot/AI completions using your real accept/reject history.
- Works with your stack — Enhances GitHub Copilot, Azure OpenAI, Cursor, Claude and more — no tool changes.
- Live metrics in VS Code — See acceptance rate, error rate, latency, and learning scores per session.
- Multi-sector platform — 6 sectors (Research, Education, Developer, Enterprise, Health, Public Sector) with RBAC access control and sector-scoped data isolation.
- Free to start — 10 optimisations per day with no account, unlimited with Microsoft sign-in.
- +30–50% higher Copilot acceptance rate — L.I.F.E suppresses low-quality suggestions before they appear, based on your own accept/reject history.
- Works alongside any AI assistant — GitHub Copilot, OpenAI, Anthropic Claude, Google Gemini, Cursor: one optimisation layer for all of them.
- Self-learns from every suggestion — accept/reject patterns update the engine in real time so quality improves with every coding session.
NEW in v1.5.0 — Platform Foundation: Real Venturi 3-Gate engine wired end-to-end (100 dB SNR, live gate efficiencies). Multi-sector RBAC with 404-over-403 isolation across 6 sectors. Postgres-backed resource store with sector-scoped CRUD. 13 access-control isolation tests. Integration kit for external engine adapters.
L.I.F.E is an enhancement layer that works alongside Azure AI, GitHub Copilot, VS Code, and other Microsoft tools — not a replacement.
Why developers choose L.I.F.E
| What |
Benefit |
| Better suggestions |
Suppresses low-quality AI completions so you accept more and dismiss less |
| Any AI assistant |
One optimisation layer for Copilot, Azure OpenAI, Cursor, Claude, Gemini |
| Self-learning |
Quality improves automatically with every coding session |
| Sub-millisecond |
<0.4 ms processing — zero perceivable delay |
| Multi-sector platform |
6 sectors with RBAC, audit logging, and 404-over-403 data isolation |
| Microsoft sign-in |
One click to unlock unlimited optimisations; no config needed |
| Free tier |
10 optimisations/day, no account required |
Disclaimer: This is an independent third-party extension. Not affiliated with, endorsed by, or sponsored by Microsoft Corporation, GitHub, Inc., or OpenAI. Works alongside GitHub Copilot, Azure OpenAI Service, Microsoft 365 Copilot, Cursor, Claude, and other AI coding tools.
Pricing
| Plan |
Price |
Best for |
| Free |
$0 forever |
10 optimisations/day, metrics dashboard, inline feedback — no registration |
| Early Bird Beta |
$19/mo lifetime lock |
First 500 users — unlimited optimisations, full platform, founding member |
| Professional |
$30/user/mo |
Team analytics, advanced integrations, REST API access |
| Enterprise |
$50/user/mo |
Unlimited users, SLA, white-label, custom API, 24/7 support |
Free tier resets daily at midnight. Power users who hit the limit see upgrade prompts.
Lock in Early Bird pricing →
What's New in v1.5.0
🔌 Real Venturi Engine Wired End-to-End
The integration adapter now reads live gate efficiencies from the real VenturiGatesSystem — no more fallback seed values. SNR derived from actual gate cascade performance. diagnose() method for full introspection of wiring state.
🔒 Multi-Sector Access Control Foundation
- 6 sectors — Research, Education, Developer, Enterprise, Health, Public Sector
- RBAC policy engine — 628-line authorization layer with sector-token binding
- 404-over-403 rule — never leaks resource existence across sector/org boundaries
- Postgres-backed resource store — sector-scoped CRUD with spoofing protection on writes
- 13 isolation tests — cross-org, cross-sector, admin bypass, nonexistent resource, spoofing
🏥 New Sector Blueprints
- Health sector (
/api/health/assessments/*) — assessment CRUD with consent-aware schema
- Public Sector (
/api/public-sector/programs/*) — government program management
🐳 Docker-Compose Local Dev
docker compose up auto-runs the 12-table RBAC schema and seed data against Postgres 16.
Self-Learning Feedback
Rate every suggestion with Accept / Reject / 1–5 stars — the system learns your preferences and suppresses low-quality patterns automatically.
Metrics Dashboard
Recommend to Your Team
Add this to your repo's .vscode/extensions.json and VS Code will prompt every team member to install L.I.F.E automatically:
{
"recommendations": [
"LIFEAIEnhancer.life-ai-enhancer"
]
}
Who is L.I.F.E for?
- Any developer using AI code assistants — Python, TypeScript, JavaScript, C#, .NET in VS Code
- Azure & Microsoft developers — Azure Functions, DevOps, Microsoft Graph, Power Platform, Bicep/ARM
- Teams (10–500 engineers) — team analytics, Entra ID SSO, GDPR/CCPA-compliant metrics
- Research & academia — free Developer tier for academic research and coursework
How it works
- You code — the extension watches your accept/reject patterns locally in VS Code.
- L.I.F.E optimises — your patterns are sent (TLS 1.3) to the Venturi 3-Gate engine which filters suggestions in <0.4 ms.
- You rate — Accept / Reject / 1–5 stars feeds the self-learning loop; quality improves with every session.
- Optional EEG — connect Quest 3, Emotiv EPOC, Muse 2, or OpenBCI to adapt suggestion complexity to your real-time cognitive state.
Code context is held in-memory for <1 second and never persisted to disk on L.I.F.E servers.
For full technical documentation, API reference, and Azure integration guides visit the platform:
Open L.I.F.E Platform Docs →
Privacy & Security
| Area |
Detail |
| Code context |
Held in-memory <1 s, never written to disk or database |
| Telemetry |
Opt-out: "life-copilot.telemetry": false |
| Encryption |
TLS 1.3 in transit, AES-256 at rest |
| Compliance |
GDPR & CCPA compliant |
| Your rights |
Access, delete, or export your data at any time |
Full Privacy Policy →
Installation
- Open VS Code → Extensions (
Ctrl+Shift+X)
- Search "L.I.F.E AI Enhancer"
- Click Install
Or from the command line:
code --install-extension LIFEAIEnhancer.life-ai-enhancer
Requirements: VS Code 1.95.0+ and an internet connection. That's it.
Unlock unlimited optimisations
Ctrl+Shift+P → L.I.F.E: Sign In with Microsoft- Authenticate with your Microsoft account (one click)
- Done — your API key is generated and stored securely in VS Code
Choose a plan on VS Code Marketplace →
Quick Start
- Install from VS Code Marketplace
- Open any code file — L.I.F.E starts optimising immediately
- Check the status bar —
L.I.F.E: Free (3/30 today) shows your daily usage
- Rate suggestions — Accept / Reject / 1–5 stars to train the self-learning engine
Keyboard shortcuts
| Shortcut |
Command |
Ctrl+Shift+L C |
Sign In with Microsoft |
Ctrl+Shift+L S |
Start Neuroadaptive Session |
Ctrl+Shift+L M |
View Metrics Dashboard |
Ctrl+Shift+L O |
Optimise Suggestions |
Documentation, FAQ & API Reference
All technical documentation, API integration guides, SDK examples, troubleshooting, and FAQs live on the L.I.F.E Platform so you always have the latest version:
Open L.I.F.E Platform → · API Docs → · FAQ →
Known Limitations
- VS Code only — more editors coming soon
- Best language support: Python, TypeScript, JavaScript, C# (Go/Rust/C++ improving)
- Internet required for AI suggestions (offline: syntax highlighting continues)
- Free tier: 10 optimisations/day, resets at midnight
- EEG hardware: Quest 3, Emotiv EPOC+, Muse 2, OpenBCI supported; Legacy Muse (2014) and NeuroSky MindWave not supported
Support
License
PROPRIETARY — PATENT PENDING
COPYRIGHT © 2024–2026 Sergio Miguel Paya Borrull, L.I.F.ECoach121.com Limited. All Rights Reserved.
Patent: GB2519103.2 — Venturi 3-Gate System, 14 Core Equations, 12-Section Architecture, Neuroadaptive Learning Algorithms.
L.I.F.E Platform · Privacy Policy · Terms
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