Reduce AI coding context by up to 46%
while preserving code understanding.

Try Playground Install VS Code Extension

How LeanContext Works

📄

1. Select Code

Paste code or choose a repository

→

✂️

2. Remove Noise

Comments, docs, whitespace, dead code

→

🚀

3. Send More Signal

Same logic. Fewer tokens.

Use LeanContext wherever you work.

🌐

VS Code Extension

Optimize Copilot context without leaving your editor.

LeanContext for VS Code

Built directly into GitHub Copilot.

★★★★★ Published on VS Code Marketplace

✓ @lc participant
✓ Workspace optimization
✓ Folder optimization
✓ Audit viewer
✓ Fully local processing
✓ No API calls

Install Extension

46%

Max Reduction

10-46%

Average Range

Repositories Tested

100%

Accuracy Retained

Install in under 30 seconds

Open VS Code
Install LeanContext
Open Copilot Chat
Type @lc

Install from VS Code Marketplace

Interactive Playground

Test LeanContext live in your browser.

Source Input

1 Paste code 2 Check rules 3 See savings

Exclude Comments Exclude JSDocs Exclude Dead Code Trim Whitespace

1 Upload .zip folder 2 Configure settings 3 See total project ROI

The compiler will recursively extract all files locally and compute your token & cost savings.

🔒 100% Local Browser Engine — No LLM APIs — 1,000 File Cap

📦

Drag & Drop Zip file here

💼 Project Token Compaction & ROI Audit

Compaction audit calculations & monetary ROI savings.

Files Audited 0

Original Tokens 0

LeanContext Tokens 0

Compaction Savings 0%

🔴 Verbatim Source Cost

Cost to process uncompressed codebase over 1,000 queries:

$0.00 GPT-5.5 input rates ($5.00 / 1M tokens)

🟢 LeanContext Compacted Cost

Cost using LeanContext minification:

$0.00 Saved: 0% of total bill!

⚠️ Beta Disclaimer: This compiler is currently in active beta testing. All financial figures shown are strictly illustrative estimates based on GPT-5.5 input pricing and are intended to demonstrate potential architectural token-efficiency, rather than exact accounting.

→

AST Translation Rule

—

— Savings Rate

— Tokens Saved

Original Statement

CGE Compacted Shorthand

Decompression Feedback Loop

Paste the LLM's reconstructed code below. The Diff Engine will extract structural identifiers and verify against the source AST.

Awaiting Input...

compaction performance (current code)

— compression

Context window reduction factor

Token Allocation

Original

LeanContext

Original —

LeanContext Output —

Tokens saved —

Characters freed —

Cost reduction —

Paste code to analyze

Projected Savings beta

Agent Queries Per Day

Team Size (Developers)

Target LLM Model

— tokens saved / month

— est. monthly savings

*Monthly calculation: Tokens Saved × Agent Queries × Team Size × 30 Days × $5.00 per 1M Input Tokens (GPT-5.5)

Reduce AI coding context by up to 46%
while preserving code understanding.

How LeanContext Works

1. Select Code

2. Remove Noise

3. Send More Signal

Use LeanContext wherever you work.

Web Playground

VS Code Extension

LeanContext for VS Code

Install in under 30 seconds

Interactive Playground

Zip Extracted Successfully

💼 Project Token Compaction & ROI Audit

Decompression Feedback Loop

Reduce AI coding context by up to 46% while preserving code understanding.

How LeanContext Works

1. Select Code

2. Remove Noise

3. Send More Signal

Use LeanContext wherever you work.

Web Playground

VS Code Extension

LeanContext for VS Code

Install in under 30 seconds

Interactive Playground

Zip Extracted Successfully

💼 Project Token Compaction & ROI Audit

Decompression Feedback Loop

We'd love your feedback!

Reduce AI coding context by up to 46%
while preserving code understanding.