🎥 𝗩𝗶𝗱𝗲𝗼 𝗜𝗻𝘁𝗲𝗿𝘃𝗶𝗲𝘄 𝘄𝗶𝘁𝗵 𝗘𝗿𝗶𝗸 𝗪𝗶𝗹𝗱𝗲 & 𝗧𝗵𝗶𝗹𝗼 𝗙𝗿𝗼𝘁𝘀𝗰𝗵𝗲𝗿 𝗼𝗻 𝘁𝗵𝗲 𝗖𝗣𝗦𝗔-𝗔𝗱𝘃𝗮𝗻𝗰𝗲𝗱 𝗟𝗲𝘃𝗲𝗹 𝗠𝗼𝗱𝘂𝗹𝗲 𝗔𝗣𝗜 – 𝗥𝗲𝗮𝗹 𝗜𝗻𝘀𝗶𝗴𝗵𝘁𝘀 𝗶𝗻𝘁𝗼 𝗠𝗼𝗱𝗲𝗿𝗻 𝗔𝗣𝗜 𝗔𝗿𝗰𝗵𝗶𝘁𝗲𝗰𝘁𝘂𝗿𝗲 ✨

#APIs drive scalable systems, business value, and AI-ready architectures. Erik Wilde and Thilo Frotscher, two of the module’s curators, share insights on design, governance, DX & AX, and building APIs that truly work.

Watch the full interview 👉 https://t1p.de/td3mh

#iSAQB #Softwarearchitecture #CPSA #AI #API #APIDesign

Friday, March 20, 2026

Day 78 of Year 3
Day 809 overall since Jan 1, 2024

nhcarrigan-mentorship:
• Strengthened backend API workflows
• Reviewed request validation and route handling
• Ensured consistent response formatting across endpoints

Consistency in APIs = reliability in production. Building systems that behave exactly as expected.

#JavaScript #BackendDevelopment #APIDesign #NodeJS #ExpressJS #PrismaORM #WebDevelopment #DevJourney #SoftwareEngineering #CodingProgress #100DaysOfCode

Mastering FastAPI Request Bodies: Handling User Profiles and Token Authentication

In 2026, building scalable backend services requires a robust understanding of how API endpoints process complex payloads. This session explores the standard patterns for managing data models and secu...

📺 Watch here: https://www.youtube.com/watch?v=ABt48n3S7UA

##FastAPI ##Python ##BackendDevelopment ##APIDesign

Build GenAI Agents with OpenAI + vLLM: Develop portable AI agents in Python with structured outputs, tool calling, OpenAI Agents SDK, vLLM, model switching, CLI, API, and Docker deployment by GitforGits | Asian Publishing House is the featured book on Leanpub!

Link: https://leanpub.com/aiagentwithopenaivllm

#Ai #ApiDesign #Docker #Python #SystemIntegration

"Consumers want to be able to try an API operation and access concrete example information, or configuration data, such as credentials. Markdown alone isn’t going to provide these elements for you. Fortunately, there’s something else that will, as we’ll see next.

The solution you need is called MDX. It’s a superset of Markdown that lets you embed components within your content. Or just render dynamic information obtained from executing JavaScript. You get to keep the simplicity and versatility of Markdown. But now, you can also use dynamic elements and data. This completely changes the game for API documentation. You can, for instance, embed a component to show the consumer’s API key, or one to make an API request and show its response. This hands-on interactivity helps users test the API faster. And, because of that, it significantly reduces the Time to First Call, or TTFC. Since a low TTFC means the API onboarding experience is excellent, it translates directly into a higher perception of quality. Which is exactly what you’re looking for.

Moving from pure Markdown to MDX doesn’t have to be complicated. However, and especially if you have little coding experience, putting an MDX system together from scratch can be challenging. Luckily, there are many systems that already support MDX. Docusaurus, for instance, supports it by default. Astro is another example of a content system where you can use MDX. There are more options, including commercial ones. What I’d recommend, though, is to check out the official documentation and have a go at the MDX playground."

https://apichangelog.substack.com/p/making-api-documentation-dynamic

#API #APIDocumentation #TechnicalWriting #Markdown #MDX #APIDesign #DX #DeveloperExperience

"In a previous post on agent experience (AX), we wrote that “Artificial intelligence tools are bad at inferring context or reading between the lines,” and that “content designed for consumption by AI should look less like a blog post and more like a legal contract. Great agent experience is all about being as clear and predictable as possible.”

Where possible, we need to eliminate assumptions that only make sense to human readers. LLMs aren’t as forgiving of undocumented constraints, inconsistencies, or vague descriptions as a human reader might be. If you’re struggling with that, we can lean on AI tools — it makes sense that AI would know what AI likes, right? — for identifying some of these gaps.

When we covered AI assistants for API developers, for example, we identified LintGPT as a useful tool for its ability to automate the creation of an API style guide, enforce specification standards, and even catch breaking changes before deployment.

API specifications are no longer just documentation. They’re living contracts with machines, which increasingly have the power to read and interact with said contracts. Improving clarity, consistency, and precision might create a few initial headaches, but it opens the door to smarter tooling, faster iteration, and APIs taking pride of place in an increasingly AI-driven ecosystem."

https://nordicapis.com/how-llms-are-changing-the-way-we-build-api-specifications/

#AI #GenerativeAI #LLMs #APIs #APIDesign #APISpecifications

Build GenAI Agents with OpenAI + vLLM: Develop portable AI agents in Python with structured outputs, tool calling, OpenAI Agents SDK, vLLM, model switching, CLI, API, and Docker deployment House is a new release on Leanpub!

Link: https://leanpub.com/aiagentwithopenaivllm

#ai #ApiDesign #Docker #Python #SystemIntegration

Validation logic drifting between frontend, backend, and batch jobs is a real production problem.

This article shows how to move validation into your Protobuf schema using Protovalidate, and enforce the same rules in Quarkus, JavaScript, Python, and more.

Schema as contract. Validation as infrastructure.

👉 https://www.the-main-thread.com/p/protobuf-protovalidate-quarkus-schema-validation

#Java #Quarkus #Protobuf #APIDesign #SchemaFirst #BackendEngineering #FOSS

I just published a post on recent improvements to Embabel’s PromptRunner API.

Ahead of Embabel 1.0, we are making the API cleaner and more consistent.

#Embabel #Java #Kotlin #APIDesign

https://medium.com/embabel/recent-improvements-to-embabels-promptrunner-b1bb07190405