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build-optimization

Build system optimization covering compilation, caching, incremental builds, and developer tooling. Use when improving build times, configuring CI pipelines, or designing developer tools.

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NickCrew/Claude-Cortex
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April 23, 2026 at 21:56
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name
build-optimization
description
Build system optimization covering compilation, caching, incremental builds, and developer tooling. Use when improving build times, configuring CI pipelines, or designing developer tools.
keywords
["build times","compilation performance","caching","CI/CD","bundle splitting","build","optimization","build optimization"]
# Build Optimization Expert guidance for optimizing build systems, reducing compilation times, maximizing cache hit rates, and building developer tools that enhance productivity across the development lifecycle. ## When to Use This Skill - Diagnosing slow build times and identifying bottlenecks - Configuring caching strategies (local, remote, distributed) - Setting up incremental builds and parallel execution - Optimizing CI/CD pipeline performance and cost - Designing or improving bundle splitting and tree shaking - Building CLIs, plugins, code generators, or IDE extensions - Configuring monorepo tooling (Nx, Turborepo, Bazel) - Reducing developer feedback loop times (hot reload, watch mode) - Managing build artifacts and reproducibility ## Quick Reference | Task | Load reference | | --- | --- | | Compilation, caching, incremental builds, CI/CD optimization | `skills/build-optimization/references/build-systems.md` | | Plugin systems, code generation, linting, IDE integration, monorepo tooling | `skills/build-optimization/references/developer-tooling.md` | ## Core Targets - Build time under 30 seconds for development builds - Rebuild time under 5 seconds with watch mode - Cache hit rate above 90% in CI - Zero flaky builds in production pipelines - Reproducible builds across environments ## Workflow ### 1. Performance Analysis Profile the current build before making changes. - Measure cold build, incremental rebuild, and hot reload times - Profile CPU, memory, and I/O during builds - Map the dependency graph and identify bottlenecks - Evaluate cache hit rates and invalidation patterns - Review current tool configuration for missed optimizations ### 2. Optimization Apply targeted improvements based on profiling data. - Enable incremental compilation and caching - Configure parallel execution across available cores - Set up code splitting and tree shaking - Optimize module resolution and source transformation - Implement remote or distributed caching for CI ### 3. Tooling Build or configure developer tools for fast feedback loops. - Configure watch mode and hot module replacement - Set up clear error messages and progress indicators - Integrate build analytics and performance dashboards - Add pre-commit hooks for format, lint, and validation ### 4. Monitoring Track build health over time. - Set up automated build time tracking and alerting - Monitor cache hit rates and bundle size trends - Detect performance regressions in CI - Review and optimize periodically based on data ## Common Mistakes - Optimizing without profiling first - Disabling caching due to intermittent issues instead of fixing invalidation - Running full builds when incremental builds would suffice - Not parallelizing independent build tasks - Ignoring I/O as a bottleneck (disk speed, network latency) - Letting bundle sizes grow unchecked without analysis - Using a single build configuration for development and production
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