Christopher Walles

OpenAPI meets OpenAI

What if your OpenAPI spec could write its own backend? Learn a reliable process to generate fully functional code using LLMs, moving beyond simple server stubs.

OpenAPI meets OpenAI
#1about 5 minutes

Using OpenAPI specifications for automated code generation

The OpenAPI specification provides a language-agnostic way to describe REST APIs, which serves as documentation and enables automated generation of client libraries and server stubs.

#2about 5 minutes

Generating functional backend code with LLMs

Large language models can extend OpenAPI's code generation capabilities beyond simple stubs to create functional backend code, particularly for database-centric operations.

#3about 6 minutes

Structuring a Spring backend for code generation

The code generation process targets a specific Spring framework architecture, breaking the problem down into generating controllers, repositories, entities, and schema classes.

#4about 7 minutes

Crafting prompts to generate schemas and entities

A structured four-part prompt including task, rules, input, and context is used to reliably generate schema classes and database entities from the OpenAPI specification.

#5about 4 minutes

Generating controllers and repositories from the spec

By providing the LLM with the operation specification and previously generated classes as context, it can generate complete controller endpoints and database repositories.

#6about 3 minutes

Reviewing the limitations of this AI-driven approach

While the generated code is reliable for database-centric tasks, limitations include placing logic in controllers, lacking authorization, and the inherent incompleteness of the OpenAPI spec.

Related jobs
Jobs that call for the skills explored in this talk.

test

Milly
Vienna, Austria

Intermediate

test

Milly
Vienna, Austria

Intermediate

Matching moments

Three pillars for integrating LLMs in products
00:04 MIN

Three pillars for integrating LLMs in products

Using LLMs in your Product

Bridging the gap between language models and software
30:06 MIN

Bridging the gap between language models and software

When worlds collide: How will generative AI change the way we design and build software

Generating an OpenAPI specification from a prompt
15:49 MIN

Generating an OpenAPI specification from a prompt

Building APIs in the AI Era

Using large language models for voice-driven development
07:45 MIN

Using large language models for voice-driven development

Speak, Code, Deploy: Transforming Developer Experience with Voice Commands

Overcoming AI model limitations with expert knowledge
25:23 MIN

Overcoming AI model limitations with expert knowledge

Are frameworks like React redundant in an AI world?

Generating code from specifications with modern tooling
16:26 MIN

Generating code from specifications with modern tooling

Specifications as the better way of software development

A practical workflow for AI application developers
20:21 MIN

A practical workflow for AI application developers

How AI Models Get Smarter

Integrating generative AI for dynamic responses
33:08 MIN

Integrating generative AI for dynamic responses

Creating bots with Dialogflow CX

Featured Partners

Related Videos

See all videos
Using LLMs in your Product31:12

Using LLMs in your Product

Daniel Töws

Building APIs in the AI Era32:28

Building APIs in the AI Era

Hugo Guerrero

Bringing the power of AI to your application.32:26

Bringing the power of AI to your application.

Krzysztof Cieślak

Livecoding with AI31:39

Livecoding with AI

Rainer Stropek

AI: Superhero or Supervillain? How and Why with Scott Hanselman25:17

AI: Superhero or Supervillain? How and Why with Scott Hanselman

Scott Hanselman

Building AI-Driven Spring Applications With Spring AI32:14

Building AI-Driven Spring Applications With Spring AI

Timo Salm & Sandra Ahlgrimm

Java Meets AI: Empowering Spring Developers to Build Intelligent Apps31:53

Java Meets AI: Empowering Spring Developers to Build Intelligent Apps

Timo Salm

AI-Powered Code Documentation: Simplify the Complex28:22

AI-Powered Code Documentation: Simplify the Complex

Patrick Schnell

Related Articles

View all articles
EM
Eli McGarvie
16 Ways Developers Can Use ChatGPT-4 and GPT-4o
ChatGPT has been busy getting new designations. If you’ve been scrolling on 𝕏 over the last week, then you’ve seen the ChatGPT-4o announcement and probably thought of Joaquin Phoenix’s virtual girlfriend on Her.Beyond the references to flicks, the la...
16 Ways Developers Can Use ChatGPT-4 and GPT-4o
DC
Daniel Cranney
Stephan Gillich - Bringing AI Everywhere
In the ever-evolving world of technology, AI continues to be the frontier for innovation and transformation. Stephan Gillich, from the AI Center of Excellence at Intel, dove into the subject in a recent session titled "Bringing AI Everywhere," sheddi...
Stephan Gillich - Bringing AI Everywhere
AB
Adrien Book
Top 5 ChatGPT Plugins for Developers
The last few weeks have been very interesting in the AI space. We saw the release of a new updated version of ChatGPT from GPT-3.5 to GPT-4. Within a couple of days, Google soft-launched their competitor AI chatbot, Bard (available in the US and UK)....
Top 5 ChatGPT Plugins for Developers
BB
Benedikt Bischof
How we Build The Software of Tomorrow
Welcome to this issue of the WeAreDevelopers Live Talk series. This article recaps an interesting talk by Thomas Dohmke who introduced us to the future of AI – coding.This is how Thomas describes himself:I am the CEO of GitHub and drive the company’s...
How we Build The Software of Tomorrow

From learning to earning

Jobs that call for the skills explored in this talk.