Requestly

AI isn’t just a buzzword anymore—it’s actively changing how we build, debug, and test software. Whether you are an engineer integrating LLMs into your app or a QA figuring out how to test unpredictable AI API responses, upskilling is no longer optional. But with so much noise out there, where should developers actually start? There are 5 incredible resources available at no cost: 1. Microsoft’s "Generative AI for Beginners" : A hands-on curriculum teaching you how to build GenAI applications using Python and TypeScript. 🔗 github.com/microsoft/gene… 2. DeepLearning.AI : Short practical tutorials focused entirely on interacting with and testing LLMs via API calls. 🔗 deeplearning.ai/short-courses/ 3. DAIR.AI Prompt Engineering Guide: A comprehensive framework for crafting precise prompts and evaluating AI outputs for consistent, testable results. 🔗 promptingguide.ai 4. Anthropic's Educational Courses: GitHub tutorials on constraining models, reducing hallucinations, and forcing strict JSON API responses. 🔗 github.com/anthropics/cou… 5. Hugging Face: A introduction to practically implementing open-source AI models without relying solely on paid APIs. 🔗 huggingface.co/learn As you start building and testing new AI features, you will be making a massive amount of API calls. And debugging those requests is exactly where Requestly comes in to save you time. 💙

Did you know teams using a strict design-first #API approach ship features noticeably faster than those writing code first? Yet half the industry is still writing API docs manually. 🫠 Let's clear up the oldest debate in the API world: Swagger is the tooling, OpenAPI is the specification. Think of OpenAPI as the blueprint for your house—it tells everyone exactly where the plumbing goes so you don't accidentally flood the basement. Stop writing manual docs and let the spec do the heavy lifting. 💡 Pro tip: If you aren't using your #OpenAPI specs to automatically generate collections and client SDKs in your CI/CD pipeline, you're leaking engineering velocity. Design-first > Code-first. 🚀

Did your API client just get a lot more expensive? 💸 Requestly lets you bring your collections over in exactly one click—with unlimited collaborators and zero mandatory logins. Your dev team’s budget will thank you. 💙

The oldest trope in software development just might be, "Did you clear your cache?" But it seems the confusion between cookies and browser cache still trips up a lot of stakeholders on a daily basis. So here is the absolute simplest way to break it down for your team: ✅ Cookies are your digital ID badge. They are tiny text files that remember who you are and your preferences (like your login session or dark mode). ✅ Cache is the heavy lifter. It stores massive files locally—like images, videos, and scripts—so the site doesn't have to download them from scratch every time you visit. Why does this matter for leadership and product teams? Because it diagnoses the problem instantly. If a stakeholder says the new UI deployment looks broken, their cache is stubbornly holding onto the old version. If they are stuck in an endless login loop, their cookies are corrupted. It’s a 2-minute watch. 👇

🕔 Think about how much time your team spends manually tweaking test data, writing throwaway pre-request scripts, or debugging API failures just because a static email or UUID collided with an existing record. It sounds small, but these add up and drain momentum. We built Dynamic Variables into our API client to eliminate this exact bottleneck, and the use cases go much deeper than just injecting random strings. In this quick walkthrough, we look at how you can generate contextual, precise test data on the fly. Need a random email, but require it to match a specific user persona for your test? You can pass arguments right into the variable (e.g., {{$randomEmail 'John' 'Doe'}}) to get exactly what you need, instantly. When we build tools at Requestly, the goal is simple: help developers spend less time on friction and more time shipping. 👇 See it in action and try it out: docs.requestly.com/general/api-cl…

Moving your API collections to Requestly is a breeze! 📦✨ 👇 Watch how quickly you can migrate everything over in mere seconds.

Don't be like this. Just mock it. 🚀

We just added Dynamic Variables to the Requestly #API client. No more writing custom scripts just to generate random test data. Now you can use dynamic variables like {{$randomFirstName}}, {{$randomEmail}}, and {{$randomUUID}} to instantly generate realistic, production-like data anywhere within your request. Less friction. Faster testing! 📄 Docs: docs.requestly.com/general/api-cl…

Most of the APIs we’ve spent years building are practically invisible to the AI agents now trying to use them. We’ve optimized for human intuition. Developers can interpret vague endpoints, skim messy docs, and fill in context gaps. AI agents can’t. If the context isn’t explicit, they fail. We need to shift our infrastructure from being "human-readable" to "machine-reasonable." Here is a quick breakdown of 3 operational shifts to make your backend "Agent-Ready": 1️⃣ Semantic discovery: Use OpenAPI 3.1 as a structured map so LLMs can reliably discover and understand your functions. 2️⃣ Actionable metadata: Treat endpoint descriptions as prompts for AI agents — clear, specific, outcome-oriented. 3️⃣ Self-debugging errors: Errors should contain enough structured detail for an agent to diagnose the issue and correct its own request. As you test how agents navigate your APIs, tools like @RequestlyIO can dramatically speed up debugging and response validation. We’re entering API Economy 2.0. If your APIs aren’t machine-reasonable, you’re already behind. 👇 Watch the full breakdown in the video.

They say 50% of development time isn't spent building features, but maintaining and validating them. It’s necessary work, but it’s not high-value work. We just pushed an update to @RequestlyIO that tackles this head-on. We’re bringing advanced scripting to your #API workflows. 🚀 You can now use Pre-request scripts with full package support to handle complex logic, and use our new AI agent in Post-response to instantly generate schema validation and boost test coverage. The video shows a quick run-through of these new capabilities using a @StackOverflow API. 👇 Give it a watch and check the docs here for details: #pre-request-and-post-response-scripts?utm_source=linkedin&utm_medium=organicsocial&utm_platform=&utm_content=&utm_campaign=&utm_campaigncode=&utm_term=pre-post-scripts" target="_blank" rel="nofollow noopener">docs.requestly.com/general/api-cl…

Found a free open source alternative to Postman it is lightweight, completely free, local first so your API keys stay on your machine and it even has a chrome extension so you do not have to download a heavy desktop app best for small teams and devs who want simple API testing without the bloat or high pricing checkout: requestly.com

Did you know fetching data from RAM takes ~100 nanoseconds, while hitting a disk takes ~10 milliseconds? ⚡ That’s a 100,000x difference. When you look at how giants like Netflix or Spotify handle traffic, it’s rarely about writing "faster" code. It’s about architecture. We broke down the 4 pillars of high-scale architecture in the video below: 1️⃣ API Gateways & Load Balancing 2️⃣ Caching (Redis/Memcached) 3️⃣ Database Sharding 4️⃣ Asynchronous Processing Watch the breakdown here! 👇

cURL is the universal language of APIs, but it is a difficult interface for debugging. Manually translating CLI flags into GUI fields is a context-switching tax you shouldn't be paying. We built three workflows to hydrate your API client directly from raw cURL strings: 1️⃣ Context Menu: Highlight cURL on any page, right-click, and hit "Run cURL Request" to open it instantly. 2️⃣ URL Bar: Paste raw cURL directly into the request bar. We auto-parse the Method, Headers, and Body. 3️⃣ Import Modal: Use the sidebar to paste full commands. Converts CLI flags into a structured request ready to run. It's about removing the translation layer between the docs and your debugger. Full workflow breakdown below. 👇

💡 A Token is a "daily pass." An API Key is the "master key." Confusing them isn't just a syntax error. Many developers use these terms interchangeably, but the architecture behind them is completely different. One verifies a user’s specific permissions; the other identifies the application itself for billing and tracking. Understanding the architectural contract between client and server is what separates a coder from a systems engineer. We built a definitive glossary for API architecture: ✅ Endpoints: The API is the whole menu, but the endpoint is the specific item. It is the specific URL that performs a distinct action ✅ API Keys: Identifies the Application. Think of this as the billing contact—it grants broad access to backend operations and must be kept secret ✅ Tokens: Identifies the User. Think of this like a house party invite—a unique string giving temporary permission to enter ✅ Rate Limits: The server's self-defense mechanism. Like a radio station that restricts you to one call every 5 minutes, it prevents a single client from jamming the lines so everyone has fair access ✅ Webhooks: Stop polling. Instead of constantly checking an endpoint (like refreshing a tracking page), Webhooks are the "Call Me Back" feature—allowing the server to push a notification when the event actually happens Watch the breakdown below! 👇

1. Hugging Face Inference API – Access thousands of open-source AI models (LLMs, image gen) for free. 🔗 huggingface.co/docs/api-infer… 2. JSONPlaceholder – The absolute standard for fake data (posts, users, photos) when prototyping. 🔗 jsonplaceholder.typicode.com 3. OpenWeatherMap – Real-time weather data. Perfect for learning async data fetching. 🔗 openweathermap.org/api 4. REST Countries – Detailed country info (flags, currencies, borders). No key required. 🔗 restcountries.com 5. Unsplash API – High-quality, royalty-free stock photos to make your UI look professional. 🔗 unsplash.com/developers 6. Random User Generator – Like "Lorem Ipsum" but for user profiles (avatars, emails, addresses). 🔗 randomuser.me 7. NASA API – Astronomy Picture of the Day and Mars Rover photos. Great for visual apps. 🔗 api.nasa.gov 8. NewsAPI – Live headlines from worldwide sources. Ideal for building feed-based apps. 🔗 newsapi.org

If you are building a portfolio project or prototyping an MVP this year, you don’t always have to start from scratch. It can be smart to use someone else’s well-designed #API. Every developer should know about these 10 free APIs in 2026! 🚀

Try it out in the Requestly API Client and let us know if it speeds up your workflow : requestly.com/products/api-c… Docs: docs.requestly.com/general/api-cl… Blog: requestly.com/blog/requestly…

The agent analyzes your actual API response to handle: - Positive and negative cases - Complex Schema validation - Field-level assertions & headers - Edge cases you might have missed

We just released Test Authoring Agent in the Requestly API Client! 🚀 no engineer enjoys the repetitive grind of manual assertions for every 200 OK or schema check. Instead of writing boilerplate, you can now generate JavaScript test scripts in plain English. #AIAgents

Dependency is just a state of mind. 🫰