#Api Testing Tools And Frameworks

Comment “API” to get these free API key sites. You don’t need to spend hundreds of dollars on API keys anymore. Here are 3 platforms that give you free access to top models like Gemini, DeepSeek, and more. First, Google AI Studio — it lets you grab a free key for all of Google’s latest models, including Gemini 2.5. Next, OpenRouter — fast, easy to use, and gives you 50+ free APIs like DeepSeek R1 and Qwen 3. Finally, Groq — super fast and supports models like LLaMA, Mistral, DeepSeek, and even OpenAI Whisper. These three alone can save you hundreds on AI tools and they’re completely free.

Comment "API" to get access to these 3 Websites which gives you free AI API Keys. If you're still paying for AI API keys, you're wasting money. Think about it. As a dev building apps and automations, why hand over cash? Top models like Gemini, DeepSeek, Qwen. All free. Through simple sites. I tried these last week. Saved a bundle on my Python scripts. Here are three sites. Free API keys. For those big models. First. Google AI Studio: Go to ai.google.dev. Sign up with Google. Grab your key. Boom. Access to Gemini 2.5 and all Google's latest. Handles text. Code. Images. Like a Swiss Army knife for your code. I asked it to debug my agent workflow. Spot on. Thousands of requests daily. No card needed. Then. OpenRouter: At openrouter.ai. Super fast. Easy setup. Free key for DeepSeek R1. Kimi. Qwen 3. Plus 50 more models. Works like OpenAI endpoints. Drop it in your code. No sweat. I swapped it into a GitHub repo. Ran smooth. Free for heavy testing. Last. Groq: Head to groq.com. Free key ready. For smaller models. DeepSeek-Coder. Llama 3.3. Mistral. Crazy speed. Like a sports car on AI tracks. Sub-100ms replies. Perfect for real-time apps. I tested it on a chat bot. Blazing. Millions of tokens free each month. The good news? Switch now. Cut costs. Build faster. I did. My automations hum along. Check their docs. Things update quick in 2026. #apikeys #aiapi #googleaistudio #Openrouter #googlegemini

I need Followers 🥲 Feeling lost in the jungle of AI tools, frameworks, and APIs for mobile apps? You’re not alone. That’s why I mapped it all out—so you can see exactly how everything fits together: 🔹 Frontend: Flutter, React Native, Swift, Kotlin 🔹 On-Device AI: TensorFlow Lite, Core ML, ML Kit 🔹 Cloud Platforms: AWS, GCP, Firebase, Supabase 🔹 LLM / Generative AI APIs: Gemini, Hugging Face, OpenAI, Vertex AI, Bedrock 🔹 Databases: Firestore, Pinecone, ChromaDB, PostgreSQL 🔹 Agent Frameworks: LangChain, LlamaIndex, GenKit 🔹 APIs: Firebase Functions, FastAPI, Lambda, Amplify, Cloud Run 🔹 Memory / Storage: SQLite, Core Data 🔹 Distribution: App Store, Play Store 💡 Why this matters: Whether you’re just starting with Flutter or scaling a Firebase + AI app, this roadmap shows how the pieces connect: and how to ship smarter apps faster. 👇 Curious if I make a deep dive post on one part of this roadmap, which area should I cover first? Follow @navokitech #softwareengineer #mobileappdevelopment #peoplewhocode #100daysofcode #navoki #careertips #mobiledev #mobiledevelopment #mobileappdevelopment #appdeveloper #careertips #programming #codinglife #thedevlife #programmerlife #programminglife #developerlife #girlswhocode #programmerslife💻 #generativeai #aicreator #learnai #roadmap

Access to free APIs 😎 This website sorts a bunch of free public APIs by category. There’s pretty much a category for everything, so whatever you’re interested in, odds are you can find an API for it here! APIs are how you can access data quickly using code, without the need for storing massive amounts of data locally. There’s also quite a bit of other things you can accomplish using them. This is the perfect site for people looking to practice API usage! Follow for more free coding resources ✅ #code #coding #tech #api #learntocode

Comment "API" to get links! 🚀 Want to learn APIs in a way that actually sticks? This mini roadmap helps you go from complete beginner to confidently using APIs in real backend projects, mobile apps, and frontend apps. 🎓 APIs in 4 Minutes Perfect starting point if you are brand new. You will understand what an API is (how apps talk to each other), why companies build APIs, and how requests and responses work. Great for building the mental model before you write any code. 📘 APIs for Beginners Now get practical. You will learn how to use an API, read documentation, send requests, and understand important concepts like endpoints, parameters, headers, and authentication. This is the exact workflow you will use when building real projects. 💻 What is a REST API Time to learn the most common API style in the real world. You will understand REST basics like GET, POST, PUT, DELETE, status codes, and how APIs are designed for clean backend architecture. This is super important for system design and backend interviews. 💡 With these API resources you will: Understand how web and mobile apps communicate with servers Learn how to test APIs and read API documentation Build real projects using public APIs and authentication Feel confident in backend engineering and full stack development If you are serious about backend engineering, full stack development, or system design interviews, learning APIs is a must. 📌 Save this post so you do not lose the roadmap. 💬 Comment "API" and I will send you all the links. 👉 Follow for more content on APIs, backend engineering, and system design.

SAVE this post for later! 💾 Here are 3 Awesome APIs that you can use to power up your next programming project! 🚀 1. ElevenLabs 🗣️ 2. Twilio API 💬 3. Google Cloud Vision AI 👀 All 3 of these APIs can be used for some pretty cool use cases. Think AI Assistants, Smart Vision Tools, Chatbots and a whole lot more! 🤯 Let me know what APIs you’re currently working with! 🤔

ArrayList is more powerful than you think 💡 From Selenium WebDriver to API testing, it plays a key role in building scalable automation frameworks. Save this post 📌 and follow for more QA insights! #ArrayList #JavaAutomation #AutomationTesting #SeleniumTesting #QAEngineer QALife SoftwareTesting TestAutomation AutomationFramework SDET APITesting RestAssured JavaDeveloper TestingCommunity TechReels LearnAutomation QATips SoftwareEngineer

Comparing how different API approaches behave conceptually, not raw protocol benchmarks. #coding #engineering #api #computerscience #development

Comment “API” to get the links! 🔥 Trying to build modern software without understanding APIs is like wiring systems together without agreeing on a language. If you don’t truly get what APIs are, how REST works, and why gateways exist, you’ll build fragile systems, misuse tools, and struggle with scaling and integration. This mini roadmap fixes that. ⚡ What Is an API? (Application Programming Interface) A clear explanation of what APIs actually are, why they exist, and how software systems communicate—without hand-wavy abstractions. 📚 What Is a REST API? A practical breakdown of REST principles, HTTP methods, statelessness, and resource-based design—so you stop guessing and start designing APIs correctly. 🎓 What Is an API Gateway? Learn why API Gateways exist, what problems they solve (auth, rate limiting, routing), and when you actually need one—versus when you don’t. 💡 With these API resources you will: 🚀 Stop treating APIs as “just controllers” 🧠 Build a correct mental model of client–server communication 🏗 Design cleaner, more scalable backend interfaces ⚙ Avoid common REST and API design mistakes ☁ Level up for Backend, Frontend, Microservices, and Cloud architectures If you want to move from “my endpoint works” to “my system scales, integrates, and evolves cleanly,” API fundamentals aren’t optional—they’re foundational. 📌 Save this post so you never lose this API roadmap. 💬 Comment “API” and I’ll send you all the links! 👉 Follow for more Backend Engineering, System Design, and Career Growth.

We’ve all heard the term API before, but what does it mean? Why are there so many different types, and what do they all do? This video seeks to answer those question by diving a little bit deeper into what things like GraphQL, RESTful APIs, Websockets, and Webhooks do. APIs are extremely important, so it’s crucial to have a high level understanding, so during implementation you know which would be best suited for your needs. Hopefully this helps you in your journey ✨😊 #computersciencestudent #softwareengineer #careerintech #cs #api

1 Million RPS isn't about code, it's about architecture. Here are the 8 key layers to scale your API architecture. Unlock 200+ practical problem-solutions just like this one in the Ebook. Link in bio 1️⃣ Load Balancer 👉 Distributes traffic across multiple servers so no single machine melts. Example: 1M req/s split across 200 servers = only 5k req/s each. ⸻ 2️⃣ Horizontal Scaling 👉 Add more servers when traffic spikes instead of upgrading one big server. Example: Black Friday? Spin up 50 more API nodes in seconds. ⸻ 3️⃣ Caching Layer 👉 Serve frequent reads from Redis/Memcached to avoid DB overload. Example: User profile cached → avoids 10M database hits/day. ⸻ 4️⃣ CDN for Static Content 👉 Images and static assets load from edge servers near the user. Example: A user in Delhi gets images from a Delhi CDN node. ⸻ 5️⃣ Async Processing (Queues) 👉 Push heavy tasks to Kafka/SQS so API responds instantly. Example: Payment API returns fast → receipt email sent in background. ⸻ 6️⃣ Database Sharding 👉 Split huge datasets across multiple DB shards to scale reads/writes. Example: Users A–M on shard 1, N–Z on shard 2. ⸻ 7️⃣ Rate Limiting 👉 Block or throttle abusive clients to protect server capacity. Example: “100 requests/sec limit” prevents bots from killing the API. ⸻ 8️⃣ Lightweight Payloads 👉 Reduce JSON response size to cut latency and bandwidth. Example: Return only “id, name, price” instead of 20 unnecessary fields. #systemdesign #apidesign #scaling #1millionrps #distributedsystems #loadbalancing #caching #microservices #softwaredeveloper #programming #coding #devops #tech #backenddeveloper #backenddevelopment #api #interviews #database #learninganddevelopment #tech [API Design] [System Architecture] [API Scaling] [1 Million RPS] [Distributed Systems] [Load Balancing] [Database Sharding] [High Availability]

1. FastAPI – Build lightning-fast APIs with automatic docs and modern Python features. 2. Pydantic – Ensure clean, validated data using Python type hints. 3. Logging – Track your app’s behavior and debug issues with structured logs. 4. Testing – Catch bugs early with automated checks for your code and APIs. 5. Async Programming – Handle more with less waiting write non-blocking, efficient code. 6. Database Management – Store, query, and manage data reliably using ORMs and SQL tools. #datascience #machinelearning #womeninstem #learningtogether #progresseveryday #tech #consistency