You will get a full NestJS API architecture and security review
Project details
NestJS projects often start clean and grow tangled - guards that duplicate logic, services that bypass the module system, raw SQL mixed with ORM queries, error handling that swallows context, and auth patterns that worked at prototype scale but don't hold up under real traffic.
I review your NestJS backend across module architecture, authentication and authorization, database query patterns, error handling and logging, and security posture. Every finding includes severity, explanation, and a concrete fix with effort estimate.
My own production backend uses NestJS as a thin orchestration layer delegating computation to Rust via napi-rs, with PostgreSQL managed through compile-time verified queries. The recommendations I give come from patterns I've built and maintained, not from documentation I've read.
I review your NestJS backend across module architecture, authentication and authorization, database query patterns, error handling and logging, and security posture. Every finding includes severity, explanation, and a concrete fix with effort estimate.
My own production backend uses NestJS as a thin orchestration layer delegating computation to Rust via napi-rs, with PostgreSQL managed through compile-time verified queries. The recommendations I give come from patterns I've built and maintained, not from documentation I've read.
Programming Languages
JavaScript, TypeScriptCoding Expertise
Performance Optimization, SecurityWhat's included
| Service Tiers |
Starter
$350
|
Standard
$750
|
Advanced
$1,000
|
|---|---|---|---|
| Delivery Time | 3 days | 5 days | 7 days |
Number of Revisions | 1 | 1 | 2 |
Design Customization | - | - | - |
Content Upload | - | - | - |
Responsive Design | - | - | - |
Source Code | - |
Frequently asked questions
About Dili
Full Stack Developer | Angular, NestJS, Rust & PostgreSQL
San Francisco, United States - 9:33 am local time
This isn't Rust bolted onto a Node stack as an afterthought. In my architecture, Rust is the default implementation layer: business logic, data transformation, cryptography (Argon2id, JWT signing), and database queries via sqlx with compile-time verified SQL. A dual-pool PostgreSQL setup - sqlx for the 95% of queries that benefit from compile-time checking, deadpool-postgres with tokio-postgres pipelining for batch-critical paths - keeps correctness and throughput from competing with each other. Security is baked in at every layer - constant-time comparison in Rust, Content Security Policy, Trusted Types, and custom ESLint rules blocking unsafe patterns. NestJS handles what it's genuinely best at - routing, dependency injection, middleware, request lifecycle - and delegates everything else across the napi boundary.
I'm currently building Afterlife Licorice, a journal and civic media platform with real-time public data monitoring and verified sources. The entire backend runs on this pattern: coarse-grained napi exports per domain, feature-gated bindings so all core logic is testable without Node.js, and pedantic Clippy lints enforced as errors across the workspace.
I take on a limited number of projects at a time. If you're working with Angular, NestJS, Rust, or PostgreSQL - or you're trying to figure out where Rust fits in a Node.js stack - send me a message describing what you're building.
Steps for completing your project
After purchasing the project, send requirements so Dili can start the project.
Delivery time starts when Dili receives requirements from you.
Dili works on your project following the steps below.
Revisions may occur after the delivery date.
Codebase orientation and initial scan
I clone the repo, run the build, and review module structure, dependency injection patterns, middleware, and route organization.
Deep review across all dimensions
Auth patterns, database query efficiency, error handling, logging, security headers, and API design. Each finding documented with severity.