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Reviews code for the security flaw classes that cause the most breaches – broken authorization and IDOR, injection, SSRF, mass assignment, and unsafe deserialization – and returns a short, focused findings list with concrete fixes.
Write commit messages from a staged diff in Conventional Commits 1.0.0 format – correct type and scope, `!` and BREAKING CHANGE footers, GitHub closing keywords, and a body that explains why – and split mixed changes into separately revertable commits.
Produce a reproducible signing, versioning, and store-declaration pipeline so an iOS or Android build passes App Store Connect / Play Console submission.
Run a systematic multi-pass code review – correctness, design, security, performance, tests – and report findings ordered by severity with concrete, respectful suggestions.
Behavioral guidelines to reduce common LLM coding mistakes: surface assumptions, keep it simple, make surgical changes, and define verifiable success criteria.
Builds secure Supabase apps – Row Level Security policies as the authorization layer, schema design against auth.users, Edge Functions for service-role work, realtime subscriptions, and versioned migrations.
Builds and ships production React Native apps – architecture, navigation, list and startup performance against explicit budgets, native modules, and EAS release flow.
Generate or update a repository CHANGELOG.md in Keep a Changelog format from git history – grouping commits since the last tag into Added/Changed/Deprecated/Removed/Fixed/Security, rewriting them as user-facing entries.
Drive development with strict Red-Green-Refactor discipline – write one failing test, write the minimum code to pass it, refactor on green – including test-list planning and a worked kata cycle.
Write and review TypeScript as if strict mode plus the hardening flags (noUncheckedIndexedAccess, exactOptionalPropertyTypes) are enforced, and migrate loose codebases to full strictness flag by flag without breaking the build.
Write or overhaul a project README from the repository itself – audience-first structure, a quickstart where every command is verified by running it or tracing it to CI, a configuration table built from the env vars the code reads, real troubleshooting.
Implement API calls, React Query or SWR caching, offline support, and router data loading.