Building Int3rceptor

When we set out to build Int3rceptor, the goal was clear: create a CI/CD toolchain that doesn’t just “run” tasks, but intercepts and optimizes them.

Why Rust?

We chose Rust for three main reasons:

1. Memory Safety: No segfaults in the build pipeline.
2. Zero-Cost Abstractions: High-level ergonomics with low-level control.
3. Concurrency: The tokio runtime allows us to handle massive parallel task execution without breaking a sweat.

The Architecture

Int3rceptor operates on a “hook-and-forward” model. It listens for git events, intercepts the payload, and determines the optimal build path based on the changed files.

// Simplified logic of the interception engine
async fn intercept(payload: Payload) -> Result<Action> {
    let changes = analyze_diff(payload).await?;
    if changes.is_critical() {
        return Ok(Action::FullBuild);
    }
    Ok(Action::Incremental(changes))
}

Results

Since deploying Int3rceptor, we’ve seen a 40% reduction in average pipeline duration.

Stay tuned for Part 2 where we discuss the caching strategy.