AI Debugging · Runtime Facts

Your AI fixed the bug.Now there are three more.

Syncause feeds your coding agent runtime context — so it fixes the root cause, not the symptom.

Start Fixing for Free How it works

Built for modern AI coding agents

Claude Code
OpenClaw
Codex
OpenCode
Kilo Code

Debug Skill
for AI Agents

Plug Syncause into the workflow you already have. Let your agent understand what happened before it patches.

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Describe the bug

Tell the agent what failed, what behavior looks wrong, or where the system breaks.

Gather runtime facts

Syncause gives the agent access to execution-time evidence before it starts patching.

Fix from evidence

The agent works from what actually happened, making root-cause repair more likely.

Benchmark Evidence

SWE-bench Verified

77.4%

resolve rate

baseline77.4%

+ runtime facts83.4%

Better root-cause fixing, not just better patching

On the industry-standard SWE-bench Verified benchmark, adding Runtime Facts helped fix 30 additional hard cases beyond the baseline — raising the theoretical combined resolve rate from 77.4% to 83.4%.

Read the benchmark report

Use Cases

Built for the bug-fixing failures
developers already know too well

Root Cause

Fix the root cause, not just the symptom

When AI only sees the surface error, it often patches the wrong layer. Syncause helps it work from the actual execution path behind the failure.

Side Effects

Stop one fix from breaking something else

A shallow patch can silence one error while introducing another. Runtime facts make it easier to see side effects before and after the fix.

Debug Loop

Get out of the debug loop

Fix, test, fail, retry. When the root cause is unclear, AI and developers waste cycles chasing symptoms. Syncause shortens that loop with real runtime evidence.

How It Works

Why AI gets stuck in the loop

AI can read static code, but real failures happen at runtime. That is why bug fixing often drifts toward symptom patching instead of root-cause analysis.

Syncause captures runtime facts so developers and coding agents can reason from the real failure, not just the visible symptom.

Runtime facts captured:

Stack traces

Variable values

Execution paths

Logs and exception flow

function processWebhook(payload) {

const user = db.find(payload.userId);

const settings = user.getSettings();

if (settings.notify) {

sendEmail(user.email);

}

TypeError: Cannot read properties of null

AI Symptom Patch

Seeing only static code, AI guesses settings is null and masks the crash:

- if (settings.notify)
+ if (settings && settings.notify)

Variablepayload

{ userId: "usr_9x" }

Database Resultuser

{ id: "us_9x",
status: "deleted" }

AI Root Cause Fix

Syncause reveals the user is deleted. The correct fix is to handle deleted users, not just null check settings.

+ if (user.status === 'deleted') return;

Also available

Need a more hands-on workflow?

The IDE Extension is available for developers who want to inspect runtime facts directly in the editor, validate the agent's reasoning, or work through debugging manually.

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Frequently asked questions

Stop fixing
the same bug
in different forms

Use Syncause to give developers and coding agents the runtime facts they need to find the real cause, avoid shallow patches, and break out of the debug loop.

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