Compound Intelligence

The Self-evolving
AI Coding Infrastructure

MEGA Code is an AI coding Infrastructure where AI agents evolve autonomously and developers never stop learning.

Get Started Free

First Deployment: Layer 1

For Agents

The Problem

Agents repeat the same mistakes.

They forget what they fixed yesterday. Without durable memory, every session starts from zero — same errors, same rework, same wasted cycles.

What You Get with MEGA Code

Available Now

Skills/Strategies that make improvement continuous

MEGA Code converts high-signal logs into reusable assets:

  • Skills: reusable knowhow that can be executed again and again.
  • Strategies: decision guidance that reappears in similar situations and circumstances.

Result

Dramatically lowers repeated errors for enhanced consistent runs.

For Mankind

The Problem

You are slowly becoming de-skilled.

You approve commands you don't fully understand. You accept changes you can't confidently debug. You ship half-baked POCs faster but your ownership diminishes with no control of quality, accuracy or transparency.

What You Get with MEGA Code

Launching Soon

Content that builds transparent understanding

MEGA Code turns agents' processes into learning content for you.

  • Contextual explanations for commands and actions
  • Decision visibility (trade-offs, risks, alternatives)
  • Eureka cards at key moments — structured insights that build understanding and archives into learning portfolios

Result

Fewer blind approvals, stronger code ownership and constant up-skilling.

Deployment Layers

MEGA Code is built in layers. Each layer compounds on top of the previous one.

Available Now

Auto Skills & Strategies Generation

MEGA Code captures high-signal logs from your sessions and converts them into reusable skills and strategies your agent reuses on every future run.

Launching Soon

Eureka

Turns complex sessions into a personal recap — for you. What happened, why it matters, how to prompt better next time, and a challenge to push your thinking further.

Key features

1

Skills generation

  • Automatically capture before/after diffs + instruction context
  • Auto-convert them into a document-level procedure (Skills)
  • Store locally and auto-reuse in future runs

Diffs → Skill

2

Strategies generation

  • Automatically detect repeated corrections and preference patterns
  • Auto-extract sentence/paragraph-level decision guidance
  • Auto-apply Strategies in future runs

Recurring correction → Strategy

3

Final output

  • Automatically generate a human-readable run recap
  • Explain what/why/how with key diffs
  • Enable review, learning, and co-growth

Execution Recap for Humans

Compatibility

Supported Coding Agents

Live

Coming Soon

Claude Code

Claude Code

Codex

Codex

Gemini CLI

Gemini CLI

Antigravity

Antigravity

Supported Code Editors

Coming Soon

VS Code

VS Code

Antigravity

Antigravity

Cursor

Cursor

Get Started in Minutes

Step 1

Install the plugin

In a Claude Code session, run:

/plugin marketplace add https://github.com/wisdomgraph/mega-code.git

/plugin install mega-code@mind-ai-mega-code

Step 2

Sign in

Run/mega-code:loginto authenticate via GitHub or Google.

Step 3

Run in any project

Use/mega-code:runand check results with/mega-code:status

Free to Start

MEGA Code is currently free to use — just bring your own LLM API key (Gemini or OpenAI).

Core learning, exports, and Skills/Strategies capture are available in the current release.

FAQ

Does MEGA Code slow down my workflow?

No. It operates alongside your agent without interrupting execution.

Does my code leave my machine?

MEGA Code runs locally in your environment. It uses your configured LLM provider through BYOK.

Which agents are supported today?

Claude Code is live. Others are coming soon.

Is this just chat history with formatting?

No. Chat history is raw. MEGA Code structures decisions, patterns, and workflows into reusable assets.

Why not Claude? Why only Gemini and OpenAI?

We tested Claude Haiku and Sonnet for the generation pipeline — both hit API timeouts. Gemini and OpenAI are the two models that can run the pipeline reliably.

Gemini or OpenAI — which is better?

Both run through the same generation pipeline, so Skills and Strategies quality is consistent regardless of which model you use. Where they differ clearly is speed — based on our benchmark (76 synthesized samples):

  • Gemini 3 Flash: ~16 min 30 sec
  • GPT 5 Mini: ~2 hr 30 min

Where Agents Evolve
and Developers Grow

Start Evolving