// src/config/index.ts Import * as Application from "expo-application"; Type AppConfig = { apiUrl: string; environment: "beta" | "production"; }; Const configs: Record = { "com.example.myapp": { apiUrl: "https://jsonplaceholder.typicode.com", environment: "production", }, "com.example.myapp.beta": { apiUrl: "https://dummyjson.com", environment: "beta", }, }; Const... - Source: dev.to / about 2 months ago

Import requests Import pytest BASE_URL = "https://jsonplaceholder.typicode.com" Def test_create_new_post(): """ Test that sending a valid POST request creates a new resource. """ # 1. Define the payload (the data we are sending) payload = { "title": "Automating API Tests", "body": "This is a great tutorial on testing.", "userId": 1 } # 2. Make the POST... - Source: dev.to / about 2 months ago

Import requests From requests.adapters import HTTPAdapter From urllib3.util.retry import Retry Def create_session(retries=3, backoff_factor=0.5): """Create a session with automatic retries.""" session = requests.Session() retry = Retry( total=retries, backoff_factor=backoff_factor, status_forcelist=[429, 500, 502, 503, 504] ) adapter = HTTPAdapter(max_retries=retry) ... - Source: dev.to / 3 months ago

Import { Service, signal } from '@angular/core'; // Note: Injectable is removed Import { HttpClient, httpResource } from '@angular/common/http'; Import { Post, User } from './models'; Const BASE = 'https://jsonplaceholder.typicode.com'; @Service() // ← providedIn: 'root' by default, no config needed Export class PostsService { selectedUserId = signal(null); users = httpResource(() =>... - Source: dev.to / 4 months ago

**When to use which?** I use thresholds for overall pass/fail decisions and checks for detailed response validation. Checks are assertions that keep running even when they fail—great for debugging and granular verification. ## Test Lifecycle k6 tests have four phases: ```javascript Import http from "k6/http"; // 1. init: Runs once per VU at startup Const BASE_URL = "https://jsonplaceholder.typicode.com"; //... - Source: dev.to / 7 months ago

You can keep documentation hosted and structured in a platform like DeveloperHub, enable two-way Git sync, and let tools like DeepDocs handle continuous maintenance in the repository. Writers stay in control of clarity and structure, while automation ensures nothing quietly goes stale. - Source: dev.to / 8 months ago

Keep your documentation alive and in sync with your codebase. DeepDocs works seamlessly with GitHub to automatically detect changes, update API references, tutorials, and READMEs, and submit intelligent pull requests. Combine it with Gemini 3 or Google Antigravity to maintain interactive, accurate docs that evolve alongside your project so your code and documentation are always aligned. - Source: dev.to / 9 months ago

Deepdocs focuses on one thing: turning messy, outdated engineering knowledge into clean, accurate documentation  automatically. Instead of relying on developers to write or update docs (which never happens on time), Deepdocs reads your codebase, analyzes your structure, and generates documentation that updates itself as the product evolves. - Source: dev.to / 9 months ago

DeepDocs – A smart documentation automation tool that keeps everything perfectly in sync with the codebase. It automatically updates my READMEs, SDK guides, and tutorials whenever the code changes, ensuring documentation never goes stale. This saves time, reduces manual updates, and guarantees that developers always have accurate, up-to-date references. - Source: dev.to / 10 months ago

DeepDocs is the “AI doc reviewer” you didn’t know you needed. It automatically detects outdated comments, docs, or READMEs when your code changes  then updates them automatically. - Source: dev.to / 10 months ago