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Concurrency Review

Community
decebals
concurrency-review

Review Java concurrency code for thread safety, race conditions, deadlocks, and modern patterns (Virtual Threads, CompletableFuture, @Async). Use when user asks "check thread safety", "concurrency review", "async code review", or when reviewing multi-threaded code.

Overview

Publisherdecebals
Repositoryclaude-code-java
Skill nameconcurrency-review
Stars
751
Forks
151
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by decebals on GitHub. Read the source before you install it.

Installation

Install the Concurrency Review AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/decebals/claude-code-java/tree/main/skills/concurrency-review
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/decebals/claude-code-java.git /tmp/claude-code-java
mkdir -p .claude/skills
cp -r /tmp/claude-code-java/skills/concurrency-review .claude/skills/concurrency-review
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Concurrency Review in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Concurrency Review on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Concurrency Review is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Concurrency Review Skill

Review Java concurrent code for correctness, safety, and modern best practices.

Why This Matters

Nearly 60% of multithreaded applications encounter issues due to improper management of shared resources. - ACM Study

Concurrency bugs are:

  • Hard to reproduce - timing-dependent
  • Hard to test - may only appear under load
  • Hard to debug - non-deterministic behavior

This skill helps catch issues before they reach production.

When to Use

  • Reviewing code with synchronized, volatile, Lock
  • Checking @Async, CompletableFuture, ExecutorService
  • Validating thread safety of shared state
  • Reviewing Virtual Threads / Structured Concurrency code
  • Any code accessed by multiple threads

Modern Java (21/25): Virtual Threads

When to Use Virtual Threads

java
// ✅ Perfect for I/O-bound tasks (HTTP, DB, file I/O)
try (ExecutorService executor = Executors.newVirtualThreadPerTaskExecutor()) {
    for (Request request : requests) {
        executor.submit(() -> callExternalApi(request));
    }
}

// ❌ Not beneficial for CPU-bound tasks
// Use platform threads / ForkJoinPool instead

Rule of thumb: If your app never has 10,000+ concurrent tasks, virtual threads may not provide significant benefit.

Java 25: Synchronized Pinning Fixed

In Java 21-23, virtual threads became "pinned" when entering synchronized blocks with blocking operations. Java 25 fixes this (JEP 491).

java
// In Java 21-23: ⚠️ Could cause pinning
synchronized (lock) {
    blockingIoCall();  // Virtual thread pinned to carrier
}

// In Java 25: ✅ No longer an issue
// But consider ReentrantLock for explicit control anyway

ScopedValue Over ThreadLocal

java
// ❌ ThreadLocal problematic with virtual threads
private static final ThreadLocal<User> currentUser = new ThreadLocal<>();

// ✅ ScopedValue (Java 21+ preview, improved in 25)
private static final ScopedValue<User> CURRENT_USER = ScopedValue.newInstance();

ScopedValue.where(CURRENT_USER, user).run(() -> {
    // CURRENT_USER.get() available here and in child virtual threads
    processRequest();
});

Structured Concurrency (Java 25 Preview)

java
// ✅ Structured concurrency - tasks tied to scope lifecycle
try (StructuredTaskScope.ShutdownOnFailure scope = new StructuredTaskScope.ShutdownOnFailure()) {
    Subtask<User> userTask = scope.fork(() -> fetchUser(id));
    Subtask<Orders> ordersTask = scope.fork(() -> fetchOrders(id));

    scope.join();            // Wait for all
    scope.throwIfFailed();   // Propagate exceptions

    return new Profile(userTask.get(), ordersTask.get());
}
// All subtasks automatically cancelled if scope exits

Spring @Async Pitfalls

1. Forgetting @EnableAsync

java
// ❌ @Async silently ignored
@Service
public class EmailService {
    @Async
    public void sendEmail(String to) { }
}

// ✅ Enable async processing
@Configuration
@EnableAsync
public class AsyncConfig { }

2. Calling Async from Same Class

java
@Service
public class OrderService {

    // ❌ Bypasses proxy - runs synchronously!
    public void processOrder(Order order) {
        sendConfirmation(order);  // Direct call, not async
    }

    @Async
    public void sendConfirmation(Order order) { }
}

// ✅ Inject self or use separate service
@Service
public class OrderService {
    @Autowired
    private EmailService emailService;  // Separate bean

    public void processOrder(Order order) {
        emailService.sendConfirmation(order);  // Proxy call, async works
    }
}

3. @Async on Non-Public Methods

java
// ❌ Non-public methods - proxy can't intercept
@Async
private void processInBackground() { }

@Async
protected void processInBackground() { }

// ✅ Must be public
@Async
public void processInBackground() { }

4. Default Executor Creates Thread Per Task

java
// ❌ Default SimpleAsyncTaskExecutor - creates new thread each time!
// Can cause OutOfMemoryError under load

// ✅ Configure proper thread pool
@Configuration
@EnableAsync
public class AsyncConfig {

    @Bean
    public Executor taskExecutor() {
        ThreadPoolTaskExecutor executor = new ThreadPoolTaskExecutor();
        executor.setCorePoolSize(10);
        executor.setMaxPoolSize(50);
        executor.setQueueCapacity(100);
        executor.setThreadNamePrefix("async-");
        executor.setRejectedExecutionHandler(new CallerRunsPolicy());
        executor.initialize();
        return executor;
    }
}

5. SecurityContext Not Propagating

java
// ❌ SecurityContextHolder is ThreadLocal-bound
@Async
public void auditAction() {
    // SecurityContextHolder.getContext() is NULL here!
    String user = SecurityContextHolder.getContext().getAuthentication().getName();
}

// ✅ Use DelegatingSecurityContextAsyncTaskExecutor
@Bean
public Executor taskExecutor() {
    ThreadPoolTaskExecutor executor = new ThreadPoolTaskExecutor();
    // ... configure ...
    return new DelegatingSecurityContextAsyncTaskExecutor(executor);
}

CompletableFuture Patterns

Error Handling

java
// ❌ Exception silently swallowed
CompletableFuture.supplyAsync(() -> riskyOperation());
// If riskyOperation throws, nobody knows

// ✅ Always handle exceptions
CompletableFuture.supplyAsync(() -> riskyOperation())
    .exceptionally(ex -> {
        log.error("Operation failed", ex);
        return fallbackValue;
    });

// ✅ Or use handle() for both success and failure
CompletableFuture.supplyAsync(() -> riskyOperation())
    .handle((result, ex) -> {
        if (ex != null) {
            log.error("Failed", ex);
            return fallbackValue;
        }
        return result;
    });

Timeout Handling (Java 9+)

java
// ✅ Fail after timeout
CompletableFuture.supplyAsync(() -> slowOperation())
    .orTimeout(5, TimeUnit.SECONDS);  // Throws TimeoutException

// ✅ Return default after timeout
CompletableFuture.supplyAsync(() -> slowOperation())
    .completeOnTimeout(defaultValue, 5, TimeUnit.SECONDS);

Combining Futures

java
// ✅ Wait for all
CompletableFuture.allOf(future1, future2, future3)
    .thenRun(() -> log.info("All completed"));

// ✅ Wait for first
CompletableFuture.anyOf(future1, future2, future3)
    .thenAccept(result -> log.info("First result: {}", result));

// ✅ Combine results
future1.thenCombine(future2, (r1, r2) -> merge(r1, r2));

Use Appropriate Executor

java
// ❌ CPU-bound task in ForkJoinPool.commonPool (default)
CompletableFuture.supplyAsync(() -> cpuIntensiveWork());

// ✅ Custom executor for blocking/I/O operations
ExecutorService ioExecutor = Executors.newFixedThreadPool(20);
CompletableFuture.supplyAsync(() -> blockingIoCall(), ioExecutor);

// ✅ In Java 21+, virtual threads for I/O
ExecutorService virtualExecutor = Executors.newVirtualThreadPerTaskExecutor();
CompletableFuture.supplyAsync(() -> blockingIoCall(), virtualExecutor);

Classic Concurrency Issues

Race Conditions: Check-Then-Act

java
// ❌ Race condition
if (!map.containsKey(key)) {
    map.put(key, computeValue());  // Another thread may have added it
}

// ✅ Atomic operation
map.computeIfAbsent(key, k -> computeValue());

// ❌ Race condition with counter
if (count < MAX) {
    count++;  // Read-check-write is not atomic
}

// ✅ Atomic counter
AtomicInteger count = new AtomicInteger();
count.updateAndGet(c -> c < MAX ? c + 1 : c);

Visibility: Missing volatile

java
// ❌ Other threads may never see the update
private boolean running = true;

public void stop() {
    running = false;  // May not be visible to other threads
}

public void run() {
    while (running) { }  // May loop forever
}

// ✅ Volatile ensures visibility
private volatile boolean running = true;

Non-Atomic long/double

java
// ❌ 64-bit read/write is non-atomic on 32-bit JVMs
private long counter;

public void increment() {
    counter++;  // Not atomic!
}

// ✅ Use AtomicLong or synchronization
private AtomicLong counter = new AtomicLong();

// ✅ Or volatile (for single-writer scenarios)
private volatile long counter;

Double-Checked Locking

java
// ❌ Broken without volatile
private static Singleton instance;

public static Singleton getInstance() {
    if (instance == null) {
        synchronized (Singleton.class) {
            if (instance == null) {
                instance = new Singleton();  // May be seen partially constructed
            }
        }
    }
    return instance;
}

// ✅ Correct with volatile
private static volatile Singleton instance;

// ✅ Or use holder class idiom
private static class Holder {
    static final Singleton INSTANCE = new Singleton();
}

public static Singleton getInstance() {
    return Holder.INSTANCE;
}

Deadlocks: Lock Ordering

java
// ❌ Potential deadlock
// Thread 1: lock(A) -> lock(B)
// Thread 2: lock(B) -> lock(A)

public void transfer(Account from, Account to, int amount) {
    synchronized (from) {
        synchronized (to) {
            // Transfer logic
        }
    }
}

// ✅ Consistent lock ordering
public void transfer(Account from, Account to, int amount) {
    Account first = from.getId() < to.getId() ? from : to;
    Account second = from.getId() < to.getId() ? to : from;

    synchronized (first) {
        synchronized (second) {
            // Transfer logic
        }
    }
}

Thread-Safe Collections

Choose the Right Collection

Use CaseWrongRight
Concurrent reads/writesHashMapConcurrentHashMap
Frequent iterationConcurrentHashMapCopyOnWriteArrayList
Producer-consumerArrayListBlockingQueue
Sorted concurrentTreeMapConcurrentSkipListMap

ConcurrentHashMap Pitfalls

java
// ❌ Non-atomic compound operation
if (!map.containsKey(key)) {
    map.put(key, value);
}

// ✅ Atomic
map.putIfAbsent(key, value);
map.computeIfAbsent(key, k -> createValue());

// ❌ Nested compute can deadlock
map.compute(key1, (k, v) -> {
    return map.compute(key2, ...);  // Deadlock risk!
});

Concurrency Review Checklist

🔴 High Severity (Likely Bugs)

  • No check-then-act on shared state without synchronization
  • No synchronized calling external/unknown code (deadlock risk)
  • volatile present for double-checked locking
  • Non-volatile fields not read in loops waiting for updates
  • ConcurrentHashMap.compute() doesn't call other map operations
  • @Async methods are public and called from different beans

🟡 Medium Severity (Potential Issues)

  • Thread pools properly sized and named
  • CompletableFuture exceptions handled (exceptionally/handle)
  • SecurityContext propagated to async tasks if needed
  • ExecutorService properly shut down
  • Lock.unlock() in finally block
  • Thread-safe collections used for shared data

🟢 Modern Patterns (Java 21/25)

  • Virtual threads used for I/O-bound concurrent tasks
  • ScopedValue considered over ThreadLocal
  • Structured concurrency for related subtasks
  • Timeouts on CompletableFuture operations

📝 Documentation

  • Thread safety documented on shared classes
  • Locking order documented for nested locks
  • Each volatile usage justified

Analysis Commands

bash
# Find synchronized blocks
grep -rn "synchronized" --include="*.java"

# Find @Async methods
grep -rn "@Async" --include="*.java"

# Find volatile fields
grep -rn "volatile" --include="*.java"

# Find thread pool creation
grep -rn "Executors\.\|ThreadPoolExecutor\|ExecutorService" --include="*.java"

# Find CompletableFuture without error handling
grep -rn "CompletableFuture\." --include="*.java" | grep -v "exceptionally\|handle\|whenComplete"

# Find ThreadLocal (consider ScopedValue in Java 21+)
grep -rn "ThreadLocal" --include="*.java"

Frequently asked questions

What does the Concurrency Review AI skill do?

Review Java concurrency code for thread safety, race conditions, deadlocks, and modern patterns (Virtual Threads, CompletableFuture, @Async). Use when user asks "check thread safety", "concurrency review", "async code review", or when reviewing multi-threaded code.

Why use Concurrency Review on TypingMind?

Because you install it once and use it with any model. Concurrency Review is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Concurrency Review in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/decebals/claude-code-java/tree/main/skills/concurrency-review. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Concurrency Review?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Concurrency Review?

As many as you like. As long as a model supports skills, you can use Concurrency Review with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Concurrency Review AI skill free?

Yes. It is published on GitHub by decebals under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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