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The Current State of Code Generation (2025 Edition)

Introduction​

In 2025, code generation is being revolutionized by AI. With the deep integration of AI models like LLAMA, Claude, and ChatGPT, code generation has evolved to generate, refine, and optimize software in ways unimaginable just a few years ago. From high-level API generation with OpenAPI Generator to cross-compilers like Babel for JavaScript and full-stack generators such as Valkyr Labs' ThorAPI™, AI-driven code generation has become the backbone of modern software development. (Full disclosure: I am the developer of ThorAPI.)

The sheer explosion in the number of REST APIs has led to an ecosystem of API client generators for numerous programming environments. These APIs, and the generated clients, form a kind of vast digital Turducken, enabling seamless connectivity between services.

But what exactly are the components of this new ecosystem of code generation? Let's break down the evolving layers.

Code Rewriting​

One traditional form of code generation is Code Rewriting, where the syntax of code is transformed into an enhanced state — or sometimes even into an entirely different language.

For example, languages like Scala and Kotlin rewrite your code into Java-compatible bytecode behind the scenes.

Similarly, tools like Project Lombok rewrite Java code in real-time, reducing boilerplate and allowing developers to focus on core logic.

In the JavaScript ecosystem, tools like Babel transpile modern Typescript code into versions of JavaScript that are compatible with older browsers, allowing developers to write modern, feature-rich code without worrying about compatibility.

In other words, letting computers do the dirty work? Sweet!

AI-Enhanced Template-Based Generation​

Template-based generation is another widely used approach, and it's now being turbocharged with AI assistance. Tools like create-react-app still provide project scaffolding, but AI models like LLAMA, Claude, and ChatGPT can now recommend adjustments, troubleshoot issues, and even generate custom templates for specific needs.

Template engines like Mustache or Handlebars are widely used to pre-generate HTML or JavaScript files, but with the introduction of AI, these templates can now be dynamically adapted, ensuring they meet the exact requirements of a given project, saving time and reducing human error.

At Valkyr Labs, we use custom templates to generate our stack: Java Spring Boot backends and TypeScript React Redux frontends. This allows us to produce tightly integrated systems with database integration, schema generation, and SecureField encryption—all providing the security and scalability that modern systems require.

Runtime Dynamic Code with AI​

The next step in code generation is Runtime Dynamic Code, augmented by AI. This type of code generation allows software to become self-aware and potentially self-healing in real-time. Imagine software that, instead of simply running, continuously adapts and optimizes itself based on the current state of the system or external conditions.

And they say that Java isn't a dynamic language!

For example, dynamic generation can detect anomalous behaviors, alert administrators, and even patch itself or disable unsafe functionality—all in real-time. In an age where zero-day vulnerabilities can wreak havoc, having software that detects, adapts, and mitigates threats before they do damage is a game-changer.

With built-in encryption for data at rest and in memory, these techniques form multiple layers of defense for any potential breach, keeping your systems secure and responsive.

The Ghosts of Generated Code​

Of course, it's worth remembering that code generation hasn't always had such a stellar reputation. The software industry is littered with the wreckage of failed code generators, WYSIWYG tools, and the horrors of poorly generated code. Platforms like DreamWeaver Ultradev (or its predecessor Drumbeat 2000) generated convoluted code, infamous for its difficulty to understand and maintain.

Who wants to work on machine-generated code when it’s filled with mangled variables and obscure logic? The generated code of yesteryear was often demoralizing—and certainly nothing anyone wanted to build upon.

AI to the Rescue​

Modern AI-driven code generation solves these problems by understanding context and intent. Tools powered by Claude, LLAMA, and ChatGPT now create code that is clean, easy to understand, and often indistinguishable from that written by human developers.

The Evolution of Code Generation in 2025​

By 2025, development tools and practices have evolved to where machines, AI, and humans are truly in synchrony. Tools like ThorAPI, APICur.io, and Low Code Development Platforms (LCDPs) combine dynamic, template-based, and AI-assisted techniques to create intuitive and reliable development environments.

Low Code vs. No Code​

The lines between Low Code and No Code platforms have become increasingly defined. No Code platforms promise a world where users can build applications without writing a single line of code. However, this often comes at the cost of flexibility, transparency, and control.

Low Code Development Platforms (LCDPs) like Valkyr Labs' ValkyrAI offer a different approach: empowering developers to maintain full control while automating the repetitive tasks. The results are robust, scalable, and secure systems, where developers can still inject their expertise and creativity when it matters.

Pros of Modern AI-Driven Code Generation​

  • Less Manual Coding: Automation and AI assistance reduce the risk of human errors.
  • Time Savings: Complex and large-scale schemas can be implemented much faster.
  • AI-Assisted Prototyping: Quickly build proofs of concept (PoCs) with AI enhancements.
  • Optimized Architectures: Leverage AI-tested architectures for reliability and stability.
  • CI/CD Integration: Integrated into CI/CD pipelines, now with Continuous Generation (CG) to keep evolving code up-to-date.
  • Consistency Across Systems: End-to-end consistency with AI-enhanced generation ensures that all components align perfectly.
  • Scalability: Rolling out updates across large codebases is streamlined with AI-assisted templates.

Cons of AI-Driven Code Generation​

  • Training Data Quality: AI models like LLAMA, Claude, and ChatGPT require high-quality data to generate the best code. Sparse data can lead to inconsistencies.
  • AI is Not Perfect: AI tools may generate insecure or buggy code if left unchecked, making human oversight crucial.
  • Edge Case Complexity: Certain custom requirements can still be challenging for AI to navigate effectively.
  • Mental Overhead: Conceptualizing and managing systems that generate other systems can be mentally taxing, especially when dealing with recursive processes.

LCDP, AI, and Pushing Innovation to the Edge​

Low Code Development Platforms (LCDPs) are dramatically evolving with AI to bridge the gap between developers and power users. Tools like LLAMA, Claude, and ChatGPT make it easier than ever for non-developers to create impactful solutions, while still allowing seasoned developers to take control when needed.

AI-assisted LCDPs provide the perfect balance between reducing dependency on specialized developer resources and ensuring high-quality output. By placing code generators in the middle of this space, Valkyr Labs is bringing innovative ideas to life with efficiency, accuracy, and reduced effort.

Reverse SaaS (RSaaS) and ThorAPI: Revolutionizing Ownership​

At Valkyr Labs, we take a holistic approach to code generation with ThorAPI, building on OpenAPI schemas and incorporating AI enhancements to make generation faster, more precise, and more adaptable than ever.

Our Solution​

  • API-First Design, Enhanced by AI: ThorAPI begins with a well-defined API, optimized through AI, resulting in predictable and robust system behavior.
  • Multi-Layer Code Generation: From backend to frontend:
    • OpenAPI Generator for REST services, with AI improvements.
    • Custom Templates for Java Spring Boot backend and TypeScript React Redux frontend.
    • Database Integration with SecureField Encryption for comprehensive security.

The combination of custom templates, AI enhancements, and SecureField Encryption makes ThorAPI adaptable, efficient, and developer-friendly. Our generated source code maintains the robustness and scalability required by enterprise systems.

Reverse SaaS (RSaaS) is the next major step—allowing companies to bring software ownership back in-house. RSaaS leverages AI-driven code generation to build sophisticated, customizable software, matching the power of off-the-shelf SaaS but tailored exactly to organizational needs. ThorAPI empowers enterprises to maintain control, reduce costs, and ensure complete security, while leveraging confidential computing infrastructure for added assurance.

ValkyrAI and HeimdaLLM: AI-Driven Workflows​

ValkyrAI, working with HeimdaLLM, harnesses AI to automate workflow tasks, streamline API integration, and bring decision-making capabilities to backend processes.

  • Generative and Decision-Making Workflow Steps: ValkyrAI + HeimdaLLM automates workflows by dynamically making decisions and generating code.
  • API Mapping for Workflows: Facilitates intelligent API mapping, ensuring different services communicate seamlessly.

The Near Future and Beyond​

Our roadmap for ValkyrAI and HeimdaLLM includes game-changing features that will redefine how software development is approached:

  • Self-Healing Iterative Updates: Systems that self-heal by identifying and rectifying issues without human intervention, ensuring resilience and minimizing downtime.
  • Self-Building Iterative Database Systems (AI Memory Structures): Dynamic database systems that evolve iteratively based on AI-driven insights, aligning perfectly with changing business requirements.

Conclusion: Why Valkyr Labs Is the Choice​

The evolution of code generation has brought us to an era where AI, developers, and machines can work in seamless collaboration. At Valkyr Labs, we combine the power of AI, open standards, and developer expertise to create robust, flexible, and transparent solutions that empower teams rather than replace them. Our Reverse SaaS concept aims to make sophisticated software available to enterprises without the hefty SaaS price tag, while ThorAPI ensures that every piece of code is optimized, extensible, and secure.

With a commitment to developer experience and powerful AI-assisted workflows, Valkyr Labs is positioned as the leader in the next wave of software development. Whether it's for scalable APIs, full-stack applications, or dynamic workflows, our tools allow teams to do more, faster—without losing control.

"Technology is best when it brings people together and empowers them, rather than trying to replace them." — John McMahon.