Django Optimizer Extension

The Django Optimizer Extension analyzes a Django codebase to surface performance and configuration inefficiencies. It focuses on ORM usage, caching strategy, and deployment settings. Target users are backend engineers, DevOps, and SREs preparing for scale. It does not execute code; it analyzes models, views, templates, and settings to flag hotspots and propose concrete changes such as select_related, prefetch_related, fragment caching, and database option tuning. Use cases include pre-release audits, post-incident optimizations, and refactor validation where workload characteristics are partially known. The output is an actionable remediation plan with prioritized steps and estimated impact.
Core features include detection of N+1 queries, missing select_related/prefetch_related, inefficient pagination, and misconfigured caching. It also evaluates common settings like DATABASES, CACHES, and middleware usage to identify suboptimal defaults. The tool outputs a prioritized report with estimated latency impact and concrete code guidance.
How it works conceptually: provide a project_path and Django version; the analyzer parses Python modules, builds a lightweight model of ORM interactions, and cross-references patterns against known templates. Optional profiling data can be imported to improve runtime estimates. The results include an optimization score, recommended changes, and a reproducible action plan.
Unique value lies in coupling domain-specific decision logic with a transparent scoring model. By translating recommendations into actionable edits (e.g., add select_related, enable per-view caching, tune DATABASES options) and quantifying potential reductions, teams can prioritize work, track improvements, and communicate outcomes to stakeholders.