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 FreeFirst Deployment: Layer 1
The Problem
What You Get with MEGA Code
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.
For Agents
For
Agents
Available Now
Skills/Strategies that make improvement continuous
MEGA Code converts high-signal logs into reusable assets:
Result
Dramatically lowers repeated errors for enhanced consistent runs.
Result
Dramatically lowers repeated errors for enhanced consistent runs.
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.
For Mankind
For
Mankind
Launching Soon
Content that builds transparent understanding
MEGA Code turns agents' processes into learning content for you.
Result
Fewer blind approvals, stronger code ownership and constant up-skilling.
Result
Fewer blind approvals, stronger code ownership and constant up-skilling.
First Deployment: Layer 1
For Agents
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:
Result
Dramatically lowers repeated errors for enhanced consistent runs.
Result
Dramatically lowers repeated errors for enhanced consistent runs.
For Mankind
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.
Result
Fewer blind approvals, stronger code ownership and constant up-skilling.
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.
Key features
1
Skills generation
Diffs → Skill
2
Strategies generation
Recurring correction → Strategy
3
Final output
Execution Recap for Humans
Compatibility
Supported Coding Agents
Live
Coming Soon
Claude Code

Codex

Gemini CLI

Antigravity
Supported Code Editors
Coming Soon

VS Code

Antigravity

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
Step 3
Run in any project
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):
Where Agents Evolve
and Developers Grow