backend-concurrency-review

Detect concurrency defects in backend code across threading and async flows.

3|Updated Mar 10, 2026
One-click install
npx skills add https://github.com/infraspecdev/tesseract --skill backend-concurrency-review
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: backend-concurrency-review
Source: https://github.com/infraspecdev/tesseract/tree/main/shield/skills/backend/concurrency-review
Command: npx skills add https://github.com/infraspecdev/tesseract --skill backend-concurrency-review

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill helps you review backend code for concurrency bugs that are hard to catch in normal testing, such as race conditions, unsafe shared state, lock misuse, async failures, and retry-related side effects.

Core Features & Use Cases

  • Shared State Analysis: Checks singletons, static fields, module globals, and other mutable data that may be accessed by multiple threads or tasks.
  • Async and Threading Review: Evaluates CompletableFuture, async/await, goroutines, callbacks, and background work for missed awaits, lost exceptions, and cancellation gaps.
  • Safety and Correctness Checks: Looks for atomicity problems, concurrent collection misuse, deadlock risk, backpressure issues, and idempotency violations in retried operations.
  • Use Case: A backend service uses a shared cache and retryable write operations; this Skill can flag unsafe mutation, missing synchronization, and duplicate external side effects before release.

Quick Start

Use the backend-concurrency-review skill to inspect this backend code for race conditions, shared mutable state, async exception handling gaps, lock ordering problems, and retry idempotency risks.

Frequently Asked Questions about backend-concurrency-review

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I detect race conditions in backend code before deployment?

To detect race conditions in backend code, you need to review shared mutable state, threading, and async flows for unsafe mutation and missing synchronization. Analyzing singletons, static fields, and concurrent collection access flags atomicity problems before release.

What is the best way to review async and threading logic for missed awaits and lost exceptions?

Reviewing async and threading logic requires evaluating CompletableFuture, async/await, goroutines, and callbacks for missed awaits and lost exceptions. Checking cancellation gaps and background work ensures concurrent tasks handle failures correctly without silently dropping errors.

How do I check for idempotency violations in retryable write operations?

Checking for idempotency violations in retryable write operations involves analyzing retry logic for duplicate external side effects. Reviewing retried operations ensures that concurrent or repeated execution does not cause inconsistent state or unintended duplicate writes.

Can this review process evaluate deadlock risk and backpressure concerns in concurrent systems?

Yes, the review process evaluates deadlock risk and backpressure concerns by analyzing lock-based synchronization and lock ordering. Assessing concurrent collection safety and backpressure issues ensures your backend system handles contention without freezing or overwhelming resources.

Why does shared state mutation cause concurrency bugs in microservices?

Shared state mutation causes concurrency bugs when multiple threads or tasks access singletons, static fields, or module globals without proper synchronization. Evaluating shared mutable state access identifies unsafe concurrent modifications that lead to data corruption and race conditions.

What concurrency defects should I look for when reviewing backend synchronization mechanisms?

When reviewing backend synchronization mechanisms, look for race conditions, atomicity violations, concurrent collection misuse, and deadlock risk. Evaluating lock-based synchronization and exception handling in threading flows ensures safe coordination of concurrent tasks.