horizontal scaling for coding agents

Make every coding agent better.

Coral Code gives Codex, Claude Code, JetBrains, and standalone agents a graph of codebase responsibility, so autonomous changes can coordinate instead of piling up isolated context.

Private beta / limited signup slots

CLI

score *= 2

SWE-Atlas performance

cost *= 0.5

agent spend

time *= 0.5

wall-clock

evidence.source=SWE-Atlas

Early runs with Codex and Claude Code. Paper coming soon.

patch.integrated=true

neighbors.reviewed+=follow_on_changes

Increase code integration

Keep your code handwritten-grade

The graph of agents produce code that maintains the feeling of being carefully considered by a passionate developer. Enjoy working with your colleagues again!

Area responsibility

Agents represent parts of the codebase and attend to the changes, tests, and neighbors that concern them.

Better outer agents

Codex, Claude Code, and other coding agents can ask Coral Code to coordinate work through CLI, skill, and MCP.

Smaller model budgets

Focused responsibility areas need less context, so cheaper models can do useful work without seeing the whole repo.

Chain reactions

A change can wake the affected area agent, then the neighboring agents that should respond before drift accumulates.

How it works

Agents are not narrow job titles. They are stewards of codebase territory.

Most frontier models are not short on skill. They are overloaded with responsibility and context. Coral Code splits the indexed codebase into responsibility areas so each agent can represent the code it knows best.

Specialized tools can still become a second dimension. A testing agent can coordinate the agents responsible for test code, coverage evidence, and changed runtime paths.

Change propagation

One change should wake the code that cares.

When coding agents save cost by looking at too little of the repo, code drifts away from the rest of the system. Coral Code uses the graph to activate the right neighboring agents in a chain reaction.

billing
session
api
tests
ui
runtime
docs
changed code
01 Change lands

billing session touched

02 Owner wakes

local context only

03 Neighbors activate

tests, API, runtime

04 Patch integrates

review follows topology

Evidence trail

The graph explains why the work happened.

Files, flows, tests, and responsibility edges become review evidence: which agents woke, what they checked, and why neighboring code got pulled into the change.

Project context 30 nodes · 82 edges · 8 files

Flows

declarescallscovered bydeclarescallscovered bydeclares
PrototypeClient.kt
OpenAI
getAuthStyle
Logger.kt
testNumeric
isLoggingEnabled
AgentOptionsTest.kt
AnthropicStrategy.kt

Meet agents where they already work.

Codex, Claude Code, JetBrains, and standalone agents can call into Coral Code through MCP, CLI, and skills. The graph becomes shared context first, then a full workbench of its own.

CLI