Quick answer: Project Settings → Time. Fixed Timestep = 0.02 (50Hz) for typical games. Maximum Allowed Timestep = 0.1 to bound worst-case catch-up. Move non-physics work out of FixedUpdate.
Game stutters under load. Profiler shows FixedUpdate running 4–6 times per Update. The physics rate is too high for what the budget allows; catch-up snowballs.
The Symptom
Frame rate drops cascade into worse drops. Heavy frames take 50ms+ because FixedUpdate catches up the gap, each step doing more work, frame stretches further.
The Fix
Project Settings → Time:
Fixed Timestep: 0.02 // 50Hz, comfortable
Maximum Allowed Timestep: 0.1 // max catch-up = 5 steps
Maximum Particle Timestep: 0.03
Time Scale: 1
50Hz physics is enough for most non-VR games. Bumping Maximum Allowed Timestep down prevents one bad frame from triggering many catch-up steps.
Move Work Out of FixedUpdate
Audit your FixedUpdate methods. Anything that’s not adding forces, calling Move on CharacterController, or running Physics queries should live in Update.
// Bad — runs N times per frame under load
void FixedUpdate()
{
UpdateUI(); // 5ms
ScanEnemies(); // 8ms
rigidbody.AddForce(force);
}
// Good
void Update()
{
UpdateUI();
ScanEnemies();
}
void FixedUpdate()
{
rigidbody.AddForce(force);
}
VR Exception
VR games typically run physics at 90Hz to match HMD refresh. Set Fixed Timestep = 0.0111. Watch CPU budget closely.
Verifying
Profiler → CPU Usage. Look at FixedUpdate.PhysicsFixedUpdate. Cumulative time should stay below 4–6ms per frame at target rate. Reduce work or rate until it does.
Understanding the issue
Game physics is a contract between authoring (the body, mass, collision shapes you set) and the solver (how the engine integrates them per tick). Bugs at this boundary usually surface as 'the values look right but the behavior is wrong' - a sign that one side of the contract isn't honoring the other.
The specific bug described above is the kind that surfaces during integration rather than unit testing. It depends on a combination of factors: the asset configuration, the runtime state, the platform's specific behavior. In isolation, each piece looks correct; in combination, the bug emerges. This is why thorough integration testing - playing the actual game in realistic conditions - catches things that automated tests miss.
Why this happens
The triage path for this kind of bug is long. The symptom appears in gameplay, but the cause is in a different system. The reporter describes the gameplay effect; the engineer has to translate that into a hypothesis about the underlying cause. Misdirection is common.
At the engine level, the behavior comes from a deliberate design decision in Unity. The engine team chose a particular trade-off - usually performance versus convenience, or generality versus specificity - and that trade-off has consequences when you push against it. Understanding the trade-off is what turns 'this bug is mysterious' into 'this bug is the expected consequence of this design'.
Verifying the fix
For shipping games, the safest verification is a staged rollout. Apply the fix to 1% of players for 24 hours; watch the affected metric; expand if green. Skipping the staged rollout means the verification is the entire player base, which is too high a stakes for most fixes.
Reproducibility is the prerequisite for verification. If you can't reliably reproduce the bug pre-fix, you can't reliably verify it post-fix. Spend time getting a clean reproduction before you write any fix code. The fix is fast once you understand the reproduction; the reproduction is the slow part.
Variations to watch for
Related bug classes often share the same root cause. If you find yourself fixing this issue, look for cousins: similar symptoms in adjacent systems, the same data flow but a different value, or the same fix pattern in another module. The catalog of 'we've seen this before' becomes valuable institutional knowledge.
Adjacent bugs often share a root cause. After fixing the case you've found, spend an hour searching the codebase for similar patterns. What's the same call with different arguments? The same data flow with a different entity type? The same lifecycle issue in a sibling system? Each match is a candidate for the same fix, or a related fix that prevents future bugs of the same class.
In production
For shipping titles with a long support window, watch for this issue resurfacing after dependency updates. Engine upgrades, driver updates, OS releases - each one can resurface a bug class you thought you'd fixed because the underlying behavior changed slightly. Regression tests catch the obvious ones; player reports catch the rest.
When triaging a similar issue in production, prioritize gathering data over hypothesizing causes. A player report describes a symptom; what you need is a build SHA, a session timestamp, and ideally a screen recording or session replay. With those, the bug becomes tractable. Without them, you're guessing at hypothetical reproductions that may not match what the player actually hit.
Performance considerations
Performance implications matter when this bug class scales with player count or asset count. A bug that fires once per session is annoying; a bug that fires once per frame compounds. After fixing, profile the affected code path under realistic load. The fix that's correct for one entity may be too slow for ten thousand.
Diagnostic approach
The diagnostic tools available depend on your engine and platform. Use the engine's native profilers and debug overlays before reaching for external tools. The native tools have context that external tools lack - they know which subsystem owns the code, which assets are loaded, and what state the engine is in.
For Unity-specific diagnostics, the editor's profiler is the canonical starting point. Capture a representative frame with the symptom present; compare against a frame without the symptom; the diff often points directly at the cause. If the symptom is non-deterministic, capture multiple frames and look for the pattern - the cause is usually a state transition or a specific input value rather than a continuous effect.
Tooling and ecosystem
Third-party plugins often provide better diagnostics for their own behavior than the engine does. If the affected code is in a plugin, check the plugin's documentation for debug modes, verbose logging, or inspector tools - these can save hours of investigation when they exist.
Within Unity, the relevant diagnostic surfaces include the standard frame debugger, memory profiler, and engine-specific debug overlays. Each one shows a different facet of what's happening. The frame debugger reveals draw call ordering and state transitions; the memory profiler shows allocation patterns; the debug overlay reveals per-system state. Bugs that resist one tool usually surrender to another - the trick is knowing which tool to reach for first.
Edge cases and pitfalls
Platform-specific edge cases are worth enumerating explicitly. iOS handles backgrounding differently than Android; Windows handles focus changes differently than macOS. A fix that works on the development platform may not work on every target. Test on each shipping platform deliberately.
When writing a regression test for this fix, focus on the boundary conditions that surfaced the original bug. Tests that exercise the happy path catch obvious regressions; tests that exercise the boundary catch the subtler regressions that look like new bugs but are really the original returning. The latter are the tests that earn their keep over the long life of the project.
Team communication
Document the fix and its rationale in the commit message or attached engineering doc. Future engineers will encounter related issues; the rationale tells them whether your fix is reusable or specific to the case at hand. Without rationale, the fix gets reverted or copied incorrectly.
If this fix touches a system several engineers work in, a short writeup in the team's engineering channel helps. Not a full design doc - a paragraph explaining what was wrong, what's fixed, and what to watch for. Future engineers encountering similar symptoms will search for the fix; making it findable is a small investment that pays back later.
“50Hz default. Cap catch-up. Move heavy work to Update. Frame rate stabilizes.”
Related Issues
For Rigidbody2D interpolate, see interpolate. For Rigidbody sleep, see Rigidbody sleep.
Right rate. Bound catch-up. Lean FixedUpdate.