Requestly

Privacy-first API client with full data control • Local with Git • Loved by 300K+ devs.

[Requestly @RequestlyIO]

A lot of API testing advice jumps straight to “advanced frameworks” and “enterprise tooling.”

But most real‑world workflows still boil down to four simple steps:

1️⃣ Send
Pick the method, set the URL, headers, and body, then fire the request.
- You’re answering: “Did the API respond?"

2️⃣ Inspect
Look at status, headers, response time, and body.
- You’re answering: “Did it behave the way I expected?

3️⃣ Assert
Turn expectations into repeatable checks: status codes, JSON fields, schemas, headers.
- You’re answering: “Will I notice instantly if this breaks next time?”

4️⃣ Automate
Run these tests over collections or data files, and hook them into CI so they run on every change.
- You’re answering: “Can I trust this API as the system evolves?”

We broke these steps down with examples and tips in a full guide here 👉 https://t.co/vAAnkp5sIw

[Requestly @RequestlyIO]

People often ask “should I use OAuth or JWT?”
But that’s not really the decision you’re making.

You’re mixing up two different layers:
- OAuth 2.0 – a framework for delegating access: how an app gets permission to act on a user’s behalf (redirects, consent screen, scopes, token endpoint)
- JWT (JSON Web Token) – a token format: how claims are encoded into a compact, signed string that an API can verify

You can quite literally use both at once: OAuth can issue a JWT access token, which your APIs then validate and trust.

So the more useful questions are:
“Do I need delegated access and scopes?” → that’s an OAuth‑style question.
“How should my tokens look and be verified?” → that’s a JWT‑style question.

Framing it this way avoids fake either/or debates and helps you design the right auth layer for your API instead of arguing about acronyms

If you want a deeper dive into OAuth vs JWT, we broke it down here: https://t.co/FiupYHkKQU

[Requestly @RequestlyIO]

👇 Here are 10 practical scripting strategies you need to get right to scale your API testing workflows

https://t.co/CrvTWblduB

[Requestly @RequestlyIO]

Simple API test cases teams forget to write:

1️⃣ Required field missing
Send the request without one required field.
Check: clear error, correct status code, helpful message.

2️⃣ Invalid enum / option
Pass a value outside the allowed set.
Check: does the API reject it or silently accept garbage?

3️⃣ Unexpected extra field
Include an extra field the API doesn't know about.
Check: does it ignore safely or break parsing?

4️⃣ Boundary value
Use the minimum/maximum allowed value (like 0, 1, max length).
Check: does it behave differently at the edges?

5️⃣ Idempotent retry
Send the same request twice (for operations that should be safe).
Check: does it double‑charge / double‑create, or handle retries correctly?

You know these matter.
Sometimes it’s just about not skipping the basics.

[Requestly @RequestlyIO]

Common API testing anti‑patterns you can fix this week:

1️⃣ Only checking status codes
"All tests green" because everything returns 200, but nobody validates the payload shape or required fields.

2️⃣ Happy‑path‑only suites
Login + one success flow per endpoint, zero error cases, zero edge inputs. Bugs show up only when real users mis‑use the API.

3️⃣ Brittle, hard‑coded data
Tests depend on a specific user ID or token that quietly expires or gets deleted. Suddenly half the suite is "flaky."

4️⃣ Mocks everywhere
Everything is mocked so tests never hit real dependencies. Integrations break in staging because nothing ever exercised the real wiring.

5️⃣ No feedback loop from prod
Incidents get fixed, but tests don't get updated. The same class of bug quietly re‑appears three releases later.

Your future self will thank you.

[Requestly @RequestlyIO]

REST and GraphQL might get all the hype, but SOAP still powers some of the world's most critical enterprise infrastructure.

We just dropped a complete guide to understanding SOAP architecture. Check it out 👇

https://t.co/EsT6hpJOWh https://t.co/yPN5OyrWHN

[Requestly @RequestlyIO]

+1 for teams: Shared environments, synced variables across Dev, Staging, and Prod, and session sharing, so the whole team is always working from the same context.

[Requestly @RequestlyIO]

AI is changing how teams test APIs.
Here are 5 ways AI is reshaping API testing — all inside your workflow: 👇 https://t.co/e7gOsHwLZr

[Requestly @RequestlyIO]

5. Smarter iteration with in-context AI: AI stays aware of your latest request, current script, and response, so refining tests is as simple as prompting: "Add pagination checks" or "Handle unauthorized scenarios."

[Requestly @RequestlyIO]

For anyone switching API clients: You can port all your existing collections and environments into @RequestlyIO without having to rebuild them.

Just saying. 🐻

Check out the step-by-step migration guide here: https://t.co/rWaQtoAX3u

[Requestly @RequestlyIO]

Your API tool probably knows more about you than you think.

Because the moment you logged in, your collections, environments, and endpoints were synced to their cloud.

By default.
Without you really choosing it.

Requestly takes a different approach.

Open it. Test what you need.
You don't need to login and your data stays local unless you decide otherwise — and that's exactly the point. 🐻

#APIClient

[Requestly @RequestlyIO]

Hardcoding API keys in your client-side code or public repos is the fastest way to turn a quiet Friday evening into a full-blown security incident 🚨

We just dropped a guide to API key security, automated rotation strategies, and access control. Check it out 👇

https://t.co/FttwE0zxXq https://t.co/lekEv5d42W

[Requestly @RequestlyIO]

cURL has been the undisputed king of API testing since 1997, but sharing complex 15-flag terminal commands across a team?? 🤯

just dropped the definitive guide to mastering advanced cURL workflows, debugging flags, and importing commands into visual workspaces.

Check it out 👇

https://t.co/xjyTA7g3tY https://t.co/OyMITPbuGP

[Requestly @RequestlyIO]

👉 Manually calculating complex headers:
Use pre-request scripts to automatically generate complex hashes, tokens, and dynamic timestamps so every outbound request is cryptographically valid.

[Requestly @RequestlyIO]

How many engineering hours is your team burning chasing "phantom bugs" that are actually just header mismatches or expired tokens?

Here are 6 common API debugging mistakes—and how to fix them to build a resilient, professional workflow:

[Requestly @RequestlyIO]

👉 Breaking workflows with static data:
Automate your data flow using dynamic environment variables that pass state between requests, ensuring your payloads are always contextually accurate.