Paste the stacktrace · get back the root cause + a patch

Paste the error and the Agent goes to work — searches GitHub issues and the wider web for prior art, reproduces the bug step-by-step in a private workspace, then writes a fix and runs the tests. The whole thing takes 5 to 10 minutes, not a chunk of your on-call shift.

Pick a task example
production-error-2026-05-11.log· 186 KB
Investigate this production error end-to-end. Start by searching GitHub issues, Stack Overflow, and the relevant project docs for prior art and cite what you find. Then clone the affected repo into the sandbox, reproduce the bug with a minimal script, and capture the failing stacktrace. Once you can reproduce it deterministically, write a patch in unified-diff format, add at least one test that fails on main and passes with the patch applied, and deliver a 4-page PDF: summary + reproduction + root-cause timeline + the patch.

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A peek at what you get

Summary
Page 1 of 4·Summary
Reproduction
Page 2 of 4·Reproduction
Root cause
Page 3 of 4·Root cause
Proposed patch
Page 4 of 4·Proposed patch

Three Agents, one investigation

On-call gets one report — but three Agents wrote it. Researcher fans out across GitHub issues and docs. Coder reproduces the bug inside a sandbox. Reviewer writes & tests the patch. The hand-off is automatic; the audit trail is one document.

Case · Lumen trace-ingestion P99 spike
Severity: HIGH · 3 Agents · 7 min 14 sec
PATCH READY
R
Researcher Agent
RESEARCH
Finds prior art across the live web + GitHub
web_search"Lumen trace ingestion timeout"
github_issues3 similar reports · 2 closed
read_docsopentelemetry · batch-processor
Read-only · web · 0 repo writes
C
Coder Agent
REPRO
Reproduces the bug inside an isolated sandbox
git_cloneacme/lumen-sdk · main
run_shellpnpm install · 142 deps
run_pythonbuild_minimal_repro.py
run_shellcaptured stacktrace · 187 lines
Sandbox only · cloned repo · no prod
R
Reviewer Agent
PATCH
Writes the patch · adds a regression test · runs the suite
read_filesrc/ingest/batch.ts
edit_fileadd nil-check + retry
run_shellpnpm test · 14 pass / 0 fail
format_patchgit diff > rca.patch
Writes files in sandbox only · outputs a diffOUTPUT
lumen-trace-ingestion-rca-2026-05-11.pdf
420 KB

The fix · ready for your PR

You get the same artifact a senior engineer would hand you — a unified diff, ~25 lines, fixing a missing null check and clamping a runaway buffer, with a new regression test attached. Apply it cleanly to your branch and you're done.

src/ingest/batch.ts
+18 −3
diff --git a/src/ingest/batch.ts b/src/ingest/batch.ts
index 1f4a2e3..a98bc55 100644
--- a/src/ingest/batch.ts
+++ b/src/ingest/batch.ts
@@ -42,12 +42,18 @@ export class BatchProcessor {
private async flush(spans: Span[]): Promise<void> {
const exporter = this.exporters[this.activeIdx];
- const payload = serialize(spans);
- await exporter.send(payload);
- this.buffer.length = 0;
+ if (!exporter) {
+ this.log.warn('no active exporter; dropping batch');
+ return;
+ }
+ const clamped = spans.slice(0, MAX_BATCH_SPANS);
+ const payload = serialize(clamped);
+ await this.sendWithRetry(exporter, payload);
+ this.buffer.length = 0;
}
+ private async sendWithRetry(
+ exporter: SpanExporter,
+ payload: Uint8Array,
+ ): Promise<void> {
+ for (let attempt = 0; attempt < 3; attempt++) {
+ try { await exporter.send(payload); return; }
+ catch (err) { await sleep(150 * (attempt + 1)); }
+ }
+ }
Copy diffrca.patchPaste into PR+1 regression test · 14 / 14 suite passing
rca.patch·3.4 KB · applies cleanly to main

How it works

Step 01

Drop the error in

Plain text, JSON, a long stacktrace — paste it or upload the file. The Agent figures out the language, the framework, and where the error most likely came from on its own.

Step 02

Tell the Agent how deep to go

Just want to know how serious it is? Want a real fix? Want a failing test? Say it in the chat — the Agent matches the depth to what you asked for. Interrupt and re-scope anytime.

Step 03

Get a report + the fix

The Agent works in parallel: searching for prior art, reproducing the error, and writing the fix. You get back a 4-page PDF (summary, how it was reproduced, what went wrong and why, the proposed fix) plus a patch file ready to paste into a PR. Usually 5 to 10 minutes.

Why Vecbase for this

It actually reproduces the bug

ChatGPT will tell you what *might* be wrong. The Agent clones your repo into a private workspace, pins the versions, runs the failing code path, and only writes a fix once it has the bug in front of it. No guesswork.

Real citations, not made-up issue numbers

The Agent searches GitHub issues, Stack Overflow, vendor changelogs, and project docs. Every claim in the report links back to a real URL and the timestamp it was read — not a model guessing what issue #1284 might have said.

You get an applied fix — paste straight into a PR

The output is a patch file that applies cleanly to your branch, plus a new test that fails on `main` and passes once the fix is in. You merge it; the Agent did the typing.

The whole investigation is one document you can audit

Every search, every command, every file edit is recorded in your Drive. Hand the report to a senior engineer six months later and they can replay exactly what happened — no Slack archaeology required.

Frequently asked

Node.js / TypeScript, Python, Go, Rust, Java/Kotlin, and Ruby cover the bulk of real cases today. The sandbox has standard package managers (npm, pnpm, pip, uv, go, cargo, gradle, bundler) pre-installed, so language onboarding is a non-event. If you hit something exotic, the Agent will ask in chat before going down a rabbit hole.

Get yours in under 90 seconds

Sign in, hand it over to the Agent — the finished file lands in your Drive.

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