Alpha ReleaseDec 19
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Accelerate how your team builds software

Kodingo is the AI-native IDE with persistent memory, collaborative intelligence, and a deep understanding of your entire codebase.

Designed for engineering teams that want to build faster, ship cleaner, and scale with confidence.

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Built for teams. Powered by memory.

const memory = new
Kodingo.Memory();
await memory.learn(
codebase
);
team.pair()
team.collaborate()
team.ship()
Merged
+142 -43

— Why Kodingo

A development environment that finally understands your company.

Kodingo doesn't just autocomplete. It remembers — your architecture, your patterns, your decisions, your constraints. This memory allows your team to move faster, with context preserved across every feature, every bug fix, and every conversation.

Code Intelligence Across Your Repository

Kodingo reads, understands, and maps your entire codebase into a living knowledge graph. It identifies patterns, architecture decisions, and cross-file relationships instantly.

Persistent Memory of Your Entire Project

Unlike traditional IDEs, Kodingo retains long-term memory. Every change, discussion, decision, and refactor becomes searchable context.

Collaborative Coding with Teammates & AI

Work together in real-time or asynchronously. AI agents collaborate alongside your team, adapting to your code, not rewriting it.

Code Review & Architectural Reasoning

Kodingo analyzes pull requests with a persistent understanding of your system. It detects regressions, predicts side effects, explains trade-offs, and flags issues based on architectural patterns learned over time — not just static lint rules.

  • Repository-wide analysis
  • Style, safety, and architectural pattern checks
  • Memory-aware change detection
  • Natural-language PR summaries
const analyzeChanges = () => {
return detectRegressions(fileDiff)
}

✓ Memory-aware architectural impact: safe refactor

From Team Chat to Code

Your team can assign tasks, request changes, explore design alternatives, or ask questions straight from Slack or Teams. Kodingo agents pull context from memory, understand the last conversation, and generate actionable code or insights.

  • Create tasks directly from chat
  • AI responds with full context of repo + history
  • Asynchronous or real-time collaboration
  • Zero-copy context switching

@Kodingo refactor auth module

Done. 3 files optimized, memory context applied

✓ Task created→ PR ready

Kodingo SDK & Automation Layer

The Kodingo SDK lets you embed intelligent agents into your internal tools, CI/CD pipelines, documentation systems, or migration workflows. Agents understand the code the same way your engineers do — with memory.

  • Automated refactoring
  • Language/framework migration assistance
  • Smart code cleanup
  • Custom workflow automation
import Kodingo
const agent = Kodingo()
agent.automate('migration')

Processing 12 files in parallel...

— Kodingo Everywhere

Pair with Kodingo in your terminal or IDE

Starting from a prompt or spec, Kodingo navigates your repo to edit files, run commands, and execute tests. Ship new features, fix bugs, brainstorm solutions, or tackle whatever's next with the Kodingo CLI and IDE extension — available in VSCode, Cursor, and Windsurf.

Terminal Setup:

$ npm i -g kodingo
> OpenAI Kodingo (v0.34.0)
model: gpt-5 /model to change
directory: ~/eb/code/acme
To get started, describe a task or try:
/init – create an AGENTS.md file with instructions
/status – show current session configuration
> Hey Kodingo, implement dark mode
? for help

Trusted by engineering teams around the world

Dragnet
Dila
Envato
Vector Labs
Delve AI

Join the Kodingo Waitlist

Be among the first to experience memory-powered software development.

Alpha access opens December 19, 2025.

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