InfoQ Homepage Code Generation Content on InfoQ
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Working with Code Assistants: The Skeleton Architecture
Prevent AI-generated tech debt with Skeleton Architecture. This approach separates human-governed infrastructure (Skeleton) from AI-generated logic (Tissue) using Vertical Slices and Dependency Inversion. By enforcing security and flow control in rigid base classes, you constrain the AI to safe boundaries, enabling high velocity without compromising system integrity.
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Why Most Machine Learning Projects Fail to Reach Production
In this article, the author diagnoses common failures in ML initiatives, including weak problem framing and the persistent prototype-to-production gap. The piece provides practical, experience-based guidance on setting clear business goals, treating data as a product, and aligning cross-functional teams for reliable, production-ready ML delivery.
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Virtual Panel - AI in the Trenches: How Developers Are Rewriting the Software Process
This virtual panel brings together engineers, architects, and technical leaders to explore how AI is changing the landscape of software development. Practitioners share their insights on successes and failures when AI is incorporated into daily workflows, emphasizing the significance of context, validation, and cultural adaptation in making AI a sustainable element of modern engineering practices.
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Spec Driven Development: When Architecture Becomes Executable
Spec-Driven Development inverts traditional architecture by making specifications executable and authoritative. It transforms declared intent into validated code through AI generation and provides architectural determinism. It eliminates drift through continuous enforcement, but demands new engineering discipline in schema design and contract-first reasoning.
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Elevate Developer Experience with Generative AI Capabilities on AWS
This is a summary of a talk I gave at InfoQ Dev Summit Munich 2024. I discussed the transformative potential of generative AI in enhancing developer experiences, particularly through AWS. I’ll introduce key tools like Amazon Bedrock, Code Review Assistant, Agentic Code Generation, and Code Summarization in this article.
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Using Generative AI in Software Project Management to Bridge Domains and Accelerate Productivity
Gen AI Assistants play to the strengths of professionals with a breadth of experience, particularly software developers who can describe what they want the LLM to complete and critically evaluate the result. These tools enable us to swiftly cross divides of domain language and scale large repetitive tasks down to interesting ones on a human scale.
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Using Project Orleans to Build Actor-Based Solutions on the .Net Platform
This article takes a look at Project Orleans, an actor model framework from Microsoft. Version 7 makes it a lot easier to get started with, as it builds on top of the .NET IHost abstraction. This allows us to add it to .NET applications in a simple way. On top of that it abstracts away most of the complicated parts, allowing us to focus on the important stuff, the problems we need to solve.
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Building a Source Generator for C#
In this article we’ll be writing a Source Generator for C#. Along the way we’ll explain some of the key technologies you’re going to need to learn in order to build your own and some of the pitfalls you might encounter on the way.
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The Many Flavors of “Low-Code”
While the low-code hype often tells how "citizen developers" can create enterprise applications without the need to code, these platforms can serve an important role for professional developers.
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Angular Application Generator - an Architecture Overview
It’s clear there are pros and cons to keep in mind before making decision to generate code, but what's the best approach to generating source code for Angular: templating or AST handling? In this article, we’ll take Angular source code generation to the next level by diving into techniques to make this consistent and maintainable, based on a DSL mechanism.
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Creating RESTful Services with T4 Based on Model and Interfaces
When generating RESTful services with WebAPI, a lot of boilerplate code has to be implemented. Amel Musić demonstrates how T4 and EnvDTE can be used to create a flexible code generator that dramatically reduces the amount of time and effort this takes.
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Invokedynamic - Java’s Secret Weapon
invokedynamic was the first new Java bytecode since Java 1.0 and was crucial in implementing the "headline" features of Java 8 (such as lambdas and default methods). In this article, we take a deep dive into invokedynamic and explain why it is such a powerful tool for the Java platform and for JVM languages such as JRuby and Nashorn.