Why Is PathfindingService Taking 20+ Seconds with UseImprovedSearch Enabled?
Recent reports indicate that Roblox's PathfindingService ComputeAsync method is experiencing severe timeout delays, taking 20+ seconds instead of the normal 2-3 seconds when UseImprovedSearch is enabled.
Based on Roblox DevForum
PathfindingService - ComputeAsync taking as long as 20+ seconds with UseImprovedSearch enabled
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View the original post →A recent discussion on the Roblox Developer Forum highlights a critical performance regression affecting PathfindingService. Developers are reporting that ComputeAsync calls are taking 20+ seconds to complete or timeout, compared to the normal 2-3 second execution time. This issue appears specifically tied to the UseImprovedSearch parameter, which was designed to enhance pathfinding accuracy but is now causing severe performance problems.
The timing of this issue is particularly concerning because it affects both new and existing implementations. Games relying on NPC navigation for gameplay mechanics are experiencing frozen AI behaviors, unresponsive enemies, and degraded player experiences. Understanding the root cause and available workarounds is essential for maintaining functional game systems while Roblox investigates the underlying problem.
What Is Causing the PathfindingService Timeout Issue?
The timeout issue stems from changes to Roblox's pathfinding computation engine that occur when UseImprovedSearch is enabled.
According to developer reports on the DevForum, the problem began appearing in early April 2026 and has intensified over recent days. The UseImprovedSearch parameter was intended to provide more accurate pathfinding by exploring additional route options, but appears to be triggering exponentially longer computation times. Paths as short as 100-200 studs that previously computed in milliseconds are now hanging for 20+ seconds before either returning a result or timing out completely.
The issue affects both simple and complex environments, suggesting the problem lies in the pathfinding algorithm itself rather than specific navigation mesh configurations. Developers testing the same code with UseImprovedSearch disabled report normal performance, confirming this parameter as the source of the regression.
How Do You Work Around PathfindingService Timeout Problems?
Disable UseImprovedSearch immediately and implement async timeout handlers to prevent game freezes.
The most effective immediate solution is setting UseImprovedSearch to false when calling PathfindingService:CreatePath(). While this sacrifices some pathfinding accuracy, it restores normal computation speeds and prevents the 20+ second hangs. For most gameplay scenarios, the standard pathfinding algorithm provides sufficient navigation quality without the severe performance penalty.
Essential Pathfinding Workarounds
- Set UseImprovedSearch to false in all CreatePath() calls to restore normal performance
- Implement pcall() wrappers around ComputeAsync to catch timeout errors gracefully
- Add timeout logic using spawn() or task.delay() to cancel pathfinding after 3-5 seconds
- Cache successful paths and reuse them when NPCs travel common routes
- Reduce pathfinding frequency by updating NPC paths every 2-3 seconds instead of every frame
- Use waypoint simplification to reduce the number of path points NPCs need to follow
If your game absolutely requires the improved search quality, consider implementing a hybrid approach: use standard pathfinding for real-time navigation and reserve UseImprovedSearch for pre-computed paths that can be calculated during loading screens or off-peak moments. This prevents runtime performance degradation while maintaining path quality where it matters most.
What Are the Best Practices for Optimizing PathfindingService?
Optimize your navigation mesh, limit pathfinding calls, and use simplified waypoint following to reduce computational load.
Even without the current UseImprovedSearch issue, PathfindingService can become a performance bottleneck in games with many NPCs. The navigation mesh (automatically generated from your workspace geometry) directly impacts pathfinding speed. Simplify your collision geometry by using fewer parts, larger surfaces, and cleaner angles. Remove small decorative parts from pathfinding consideration by adjusting their CanCollide and CanQuery properties.
Performance Optimization Strategies
- Limit the number of concurrent pathfinding operations using a queue system
- Set AgentParameters (AgentRadius, AgentHeight) to match your NPC dimensions precisely
- Use PathfindingModifiers on terrain and parts to guide NPCs away from problematic areas
- Implement path caching systems that store and reuse successful routes
- Consider using region-based pathfinding where NPCs navigate between predefined nodes
- Profile pathfinding performance using the MicroProfiler to identify bottlenecks
For games with complex environments, consider implementing a hierarchical pathfinding system. NPCs first navigate between larger regions using cached paths, then use localized pathfinding for precise movement within each region. This reduces the distance and complexity of individual ComputeAsync calls, improving overall performance even when pathfinding systems are functioning normally.
How Does This Issue Affect Different Game Types?
Tower defense, survival, and RPG games with AI-driven enemies are most severely impacted by PathfindingService delays.
Games that rely on real-time enemy navigation suffer the most visible degradation. In tower defense games, enemies that should spawn and begin moving immediately may freeze for 20+ seconds while their initial paths compute. This breaks wave timing, allows players to build defenses without pressure, and fundamentally disrupts game balance. Survival games with roaming NPCs face similar issues, with predators freezing in place instead of pursuing players.
RPG and combat-focused games experience subtler but equally problematic impacts. Enemy AI that recalculates paths during combat may become unresponsive during critical moments, creating exploitable behavior patterns. Quest-giving NPCs that navigate to specific locations may never arrive, blocking player progression. The cascading effects extend beyond simple navigation to affect core gameplay systems.
If you're developing games that depend heavily on NPC pathfinding, consider implementing alternative navigation systems while this issue persists. Simple movement patterns, predefined patrol routes, or player-following behaviors can maintain gameplay functionality without relying on PathfindingService. You can find more AI and automation strategies in our guide on advanced Roblox scripting techniques.
What Should You Do If Your Game Is Already Affected?
Deploy an emergency patch disabling UseImprovedSearch and communicate the temporary navigation quality reduction to your players.
If your live game is currently experiencing PathfindingService timeouts, prioritize immediate damage control. Push an update that sets UseImprovedSearch to false across all pathfinding calls. While this may slightly reduce path quality, it's far better than NPCs that freeze for 20+ seconds. Most players won't notice the difference in path accuracy, but they will absolutely notice frozen enemies.
Use in-game announcements or update logs to communicate the change transparently. Explain that you've temporarily adjusted AI navigation to improve performance while waiting for a Roblox platform fix. This maintains player trust and demonstrates proactive development rather than ignoring obvious issues. Monitor your game's performance metrics closely to ensure the workaround effectively resolves the timeout problems.
Consider joining developer communities like the creation.dev Discord to stay updated on PathfindingService developments and share workaround strategies with other affected developers. Platform-wide issues often have community-driven solutions that emerge faster than official fixes.
How Can You Future-Proof Your Pathfinding Implementation?
Build flexible pathfinding systems with fallback behaviors and configurable parameters that can adapt to platform changes.
This PathfindingService issue demonstrates the importance of building robust, adaptable systems. Instead of hardcoding pathfinding parameters, create a configuration module that centralizes all PathfindingService settings. This allows you to quickly adjust UseImprovedSearch, timeout values, and agent parameters across your entire game with a single change, rather than hunting through dozens of scripts.
Resilient Pathfinding Architecture
- Implement multiple navigation strategies (pathfinding, straight-line movement, predefined paths)
- Add automatic fallback when ComputeAsync takes longer than expected
- Create a centralized pathfinding manager that queues and throttles requests
- Build timeout handlers that gracefully degrade to simpler navigation
- Use feature flags to toggle between navigation systems without code changes
- Log pathfinding performance metrics to detect issues before they impact players
The goal is creating systems that degrade gracefully rather than failing completely. When pathfinding becomes slow, NPCs should fall back to simpler but functional behaviors rather than freezing entirely. This resilience applies beyond PathfindingService to all external dependencies — Roblox services, third-party APIs, and platform features can all experience unexpected issues. For more on building robust game systems, explore our guide on creating secure combat frameworks.
Frequently Asked Questions
Should I remove PathfindingService entirely from my game?
No — just disable UseImprovedSearch rather than removing PathfindingService completely. The standard pathfinding algorithm (without improved search) still works normally and provides adequate navigation for most games. Only UseImprovedSearch is causing the 20+ second timeout issues.
Will disabling UseImprovedSearch make my NPC paths look worse?
Most players won't notice the difference. UseImprovedSearch provides slightly more optimal routes in complex environments, but standard pathfinding produces perfectly functional paths for typical gameplay. The performance gain from avoiding 20+ second freezes far outweighs any minor path quality reduction.
How do I implement a timeout for ComputeAsync calls?
Use spawn() or task.delay() to create a parallel timeout thread. Set a flag when ComputeAsync completes, and check that flag after your timeout period. If the flag isn't set, cancel the pathfinding operation and fall back to simpler navigation. Wrap everything in pcall() to catch any errors gracefully.
Can I cache paths to avoid repeated ComputeAsync calls?
Yes, and this is a valuable optimization even without the current issue. Store successful paths in a table indexed by start/end positions. Before computing a new path, check if you have a cached version. Invalidate cached paths when your environment changes significantly or after a certain time period.
What causes PathfindingService to be slow besides UseImprovedSearch?
Complex navigation meshes with many small parts, excessive concurrent pathfinding operations, very long path distances, and frequently changing environments all increase computation time. Optimize your collision geometry, limit simultaneous pathfinding requests, and use PathfindingModifiers to guide efficient routes.