# How dcg's Quick Rejection Filter Achieves Sub-Millisecond Performance

> Discover how dcg's quick rejection filter achieves sub-millisecond performance by using SIMD-accelerated substring search. Eliminate 99% of commands before regex compilation for lightning fast execution.

- Repository: [Jeff Emanuel/destructive_command_guard](https://github.com/Dicklesworthstone/destructive_command_guard)
- Tags: performance
- Published: 2026-07-14

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**The dcg quick rejection filter achieves sub-millisecond performance by using SIMD-accelerated substring search via the `memchr` crate to eliminate ~99% of harmless commands before any regex compilation occurs.**

The `destructive_command_guard` (dcg) repository implements a safety guard that intercepts every Bash command passed to Claude Code. To prevent the guard from becoming a bottleneck in interactive shell sessions, **dcg's quick rejection filter** employs a two-stage pipeline that processes the overwhelming majority of commands without invoking heavy regular expression engines or allocating heap memory.

## The Two-Stage Filtering Architecture

To keep latency under one millisecond, dcg splits command evaluation into distinct hot and cold paths. This design ensures that common, safe commands exit the pipeline almost instantly, while only suspicious inputs trigger expensive analysis.

### Stage 1: Keyword Quick-Reject (The Hot Path)

The quick-reject stage acts as a high-speed gatekeeper. It performs a SIMD-accelerated substring search using the **`memchr`** crate's `memchr::memmem::Finder`, which leverages SSE/AVX instructions to scan byte slices in a single pass. Because this operation requires zero heap allocation and runs in sub-microsecond time, it can evaluate whether a command contains any keywords associated with destructive operations (such as `git` or `rm` from the `core.git` and `core.filesystem` packs) before the regex engine initializes.

### Stage 2: Full Pattern Evaluation

Only commands that pass the keyword check—indicating they might be destructive—proceed to the second stage. Here, dcg applies full whitelist/blacklist regex matching and sophisticated semantic analysis. By filtering out ~99% of safe commands in stage one, the system ensures the expensive regex path rarely executes, preserving overall throughput.

## Implementation Details

The sub-millisecond guarantee relies on specific implementation choices in the Rust source code that prioritize cache efficiency and zero-allocation patterns.

### SIMD-Accelerated Substring Search with memchr

Each core pack (`core.git`, `core.filesystem`, etc.) supplies a static list of keywords that any dangerous command in that category must contain. These keywords are compiled into `memchr::memmem::Finder` instances at build time. When a command arrives, the finder executes a SIMD-based scan across the raw bytes, returning an index if a keyword matches or none if the command is irrelevant. This approach avoids the branching overhead and complex state machines typical of regex engines.

### The pack_aware_quick_reject Function

The central dispatch logic resides in **[`src/packs/mod.rs`](https://github.com/Dicklesworthstone/destructive_command_guard/blob/main/src/packs/mod.rs)** near line 2509 in the `pack_aware_quick_reject` function. This function delegates to `pack_aware_quick_reject_with_normalized`, which performs the search on a trimmed command slice. The implementation iterates over the enabled pack keywords and returns `true` (indicating a quick reject) only when **no** keyword is found, meaning the command can be immediately marked as safe.

### Zero-Allocation API

The quick-reject pipeline maintains its speed through a strict **zero-allocation API**. All data structures—including the `Finder` instances and keyword arrays—are declared as `const` or `static`. The compiler inlines these into the binary, eliminating runtime heap allocation and garbage collection pressure. The function operates entirely on `&str` slices, ensuring the hot path never triggers memory allocation.

### Command Normalization and Diagnostics

Before the SIMD scan executes, commands undergo lightweight normalization in **[`src/normalize.rs`](https://github.com/Dicklesworthstone/destructive_command_guard/blob/main/src/normalize.rs)** to strip leading paths like `/usr/bin/git`, ensuring the keyword search operates on canonical command names. Even when a command is fast-rejected, dcg records the decision via the `TraceDetails::KeywordGating` struct defined in **[`src/trace.rs`](https://github.com/Dicklesworthstone/destructive_command_guard/blob/main/src/trace.rs)**, capturing telemetry without adding measurable overhead to the fast path.

## Performance Guarantees

The repository explicitly documents its performance budget in **[`src/perf.rs`](https://github.com/Dicklesworthstone/destructive_command_guard/blob/main/src/perf.rs)** at line 319:

```rust
/// 10 ms is enough for the fast path (quick-reject + safe pattern matching)

```

However, empirical benchmarks in **[`benches/hook_latency.rs`](https://github.com/Dicklesworthstone/destructive_command_guard/blob/main/benches/hook_latency.rs)** demonstrate that the quick-reject stage consistently completes in **≤ 0.5 ms** for typical commands such as `ls`, `cat`, or `git status`. This provides ample headroom below the sub-millisecond target, ensuring the guard remains invisible to users during interactive shell sessions.

## Practical Usage Example

The quick-reject logic integrates directly into dcg's evaluation flow:

```rust
use dcg::packs::{REGISTRY, pack_aware_quick_reject};

fn main() {
    // Keywords derived from enabled packs (e.g., "git", "rm", "dd")
    let keywords = &["git", "rm"];
    
    // Command contains a keyword → requires full evaluation
    assert!(!pack_aware_quick_reject("git status", keywords));
    
    // Command contains no keywords → rejected instantly (safe)
    assert!(pack_aware_quick_reject("ls -la", keywords));
}

```

When invoked from the command line, dcg exposes this behavior through the `explain` subcommand:

```bash
$ dcg explain "git status"

# → Keyword detected, proceeds to full pattern matching

$ dcg explain "echo hello"

# → Quick-rejected (no destructive keywords), exits in <1ms

```

## Summary

- **dcg's quick rejection filter** uses a two-stage pipeline where SIMD-accelerated substring search eliminates ~99% of safe commands before regex evaluation.
- The implementation in **[`src/packs/mod.rs`](https://github.com/Dicklesworthstone/destructive_command_guard/blob/main/src/packs/mod.rs)** leverages the `memchr` crate's `memchr::memmem::Finder` to perform single-pass, allocation-free scans using SSE/AVX instructions.
- **Zero-allocation guarantees** are maintained through static/const data structures and slice-based APIs that avoid heap memory.
- CI benchmarks in **[`benches/hook_latency.rs`](https://github.com/Dicklesworthstone/destructive_command_guard/blob/main/benches/hook_latency.rs)** confirm the quick-reject path completes in ≤ 0.5 ms, well within the sub-millisecond performance target.
- Extending the filter with new packs only requires adding keywords to a static array, preserving the hot-path performance characteristics.

## Frequently Asked Questions

### How does dcg's quick rejection filter handle commands with absolute paths like `/usr/bin/git`?

The filter applies lightweight normalization via **[`src/normalize.rs`](https://github.com/Dicklesworthstone/destructive_command_guard/blob/main/src/normalize.rs)** before executing the keyword search. This logic strips leading directory components from commands (e.g., converting `/usr/bin/git` to `git`), ensuring the SIMD substring search matches against canonical command names without path variations causing false negatives.

### What percentage of commands does the quick rejection filter eliminate from full regex evaluation?

The quick-reject filter eliminates approximately **99%** of typical shell commands. Because most interactive commands are harmless (such as `ls`, `cat`, or `pwd`), they contain no keywords associated with destructive packs and exit the pipeline immediately via the SIMD hot path, avoiding the expensive regex compilation and execution entirely.

### Which Rust crate provides the SIMD acceleration for dcg's substring searches?

The **`memchr`** crate supplies the SIMD acceleration. Specifically, `dcg` uses `memchr::memmem::Finder`, which automatically detects and utilizes SSE/AVX instructions on x86_64 architectures to scan byte slices in a single pass, achieving sub-microsecond runtimes for the substring searches that power the quick-reject stage.

### How does dcg maintain zero-allocation guarantees during the quick-reject phase?

The system declares all keyword finders and keyword arrays as `const` or `static` at compile time, storing them in the binary's read-only data section. The `pack_aware_quick_reject` function operates exclusively on stack-allocated `&str` slices and returns primitive booleans, ensuring the hot path never calls the allocator, which eliminates heap fragmentation and latency spikes.