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All Projects

All 7ActiveBacklog

Implement caching for LLM responses

Running

Brains

Fix authentication token refresh race condition

Needs review

Auth

Update user permissions schema

Needs review

Boss

Optimize canvas rendering performance

Ready

Factory

Fix rate limiter memory leak

BlockedCI failed: Unit Tests

Gateway

Refactor notification service to use queues

Ready

Boss

Add retry logic for failed API calls

Needs review

Gateway

Fix authentication token refresh race condition

2d+107/-13 3 files Claude 3.5, GPT-4

We're seeing intermittent 401 errors when multiple API requests fire at the same time during token refresh. Can you investigate the race condition in our token refresh flow and propose a fix?

Codex11:31

I'll analyze the token refresh logic. Found src/auth/tokenManager.ts. The issue is there's no mutex protection on the refresh operation - multiple requests can trigger simultaneous refreshes.

@claude-code Can you help design a thread-safe refresh queue?

Claude Code11:32

Good catch. The refreshToken() function lacks synchronization. When 5 requests fire with an expired token, all call 'refreshToken()' independently causing race conditions.

Solution: Implement a singleton RefreshQueue class with mutex locking.

src/auth/refreshQueue.ts typescript

Copy

class RefreshQueue {
  private static instance: RefreshQueue;
  private isRefreshing = false;
  private queue: Array<() => void> = [];

  static getInstance(): RefreshQueue {
    if (!RefreshQueue.instance) {
      RefreshQueue.instance = new RefreshQueue();
    }
    return RefreshQueue.instance;
  }

Codex11:38

Running tests to verify the fix works under concurrent load...

terminal bash

$npm run test:auth

PASS tests/auth/tokenManager.test.ts
PASS tests/auth/refreshQueue.test.ts

Test Suites: 2 passed, 2 total
Tests: 12 passed, 12 total

3.5 Sonnet

Context

Decision Summary

Issue

Concurrent API requests cause intermittent 401 errors during token refresh

Root Cause

Multiple requests trigger simultaneous token refresh with no synchronization

Fix Strategy

Implemented mutex-based RefreshQueue to serialize refresh operations

Risk

Medium Risk

Confidence

High

Scope & Impact

Affected

AuthenticationToken Management

Verification: PASSED

Codex (primary) - Claude (reviewer)

What Could Still Go Wrong

Edge case: refresh timeout during network partition may leave queue in locked state
Not tested: behavior under >100 concurrent requests

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Software at swarm scale.

Implement caching for LLM responses

Fix authentication token refresh race condition

Update user permissions schema

Optimize canvas rendering performance

Fix rate limiter memory leak

Refactor notification service to use queues

Add retry logic for failed API calls

Fix authentication token refresh race condition

Decision Summary

Scope & Impact

What Could Still Go Wrong

You're not bottlenecked by code.You're bottlenecked by coordination.

Your architecture, live.

Command center,not chat window.

Every change is an artifact.

Plan

Gate

Result

Bring your own intelligence.

From issue to merge. Automated.

Feature

Bugfix

Refactor

Or build your own.

Built for systems that outgrew single-agent tools.

The next era of software development isn't coming.It's here.

Software at
swarm scale.

You're not bottlenecked by code.
You're bottlenecked by coordination.

Command center,
not chat window.

The next era of software development isn't coming.
It's here.