Hyperlambda
The Next Generation AI Programming Language
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Created for AI Agents
Hyperlambda was invented to simplify creating AI Agents. Amongst other things, it will use 5 to 10 percent of tokens required to generate the equivalent C# or Python code.
This makes it significantly easier for the LLM to generate correct code, since the cognitive resource requirements is reduced by up to 95%. This allows the LLM to generate much higher quality code, with much less confusion, and better security.
Combined with our proprietary developed LLM, based upon OpenAI's top models, this allows us to deliver an AI-based software development platform that simply runs in circles around everything else out there.
Hyperlambda basically treats code as assembly, as in code is (almost) never required to be created manually, but rather by computer processes and automation constructs. So in a way, Hyperlambda is the first programming language you might end up using that you'll never have to actually learn.
Hyperlambda FAQ
What is Hyperlambda?
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Hyperlambda is a declarative, event-driven programming language designed for creating APIs, automation, workflows, and business logic with minimal boilerplate. Its readable syntax makes it ideal for AI-driven logic and rapid application development.
Why do you use Hyperlambda instead of traditional languages?
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Hyperlambda requires significantly less code than languages like Python, Node, or C#, while remaining extremely secure and maintainable. It excels at integrations, workflows, and automation, allowing us to deliver robust solutions faster and with fewer bugs.
How does Hyperlambda integrate with AI agents?
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Hyperlambda acts as the execution layer beneath AI agents. The agent produces instructions, and Hyperlambda safely performs the actions—invoking APIs, updating databases, running workflows, and handling automation. This ensures predictable, reliable, and secure agent behavior.
Is Hyperlambda secure?
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Yes. Hyperlambda is sandboxed by design, limiting destructive operations unless explicitly whitelisted. Its declarative architecture and strict separation of concerns greatly reduce attack surfaces compared to traditional imperative programming languages.
Can Hyperlambda connect to our existing databases or APIs?
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Absolutely. Hyperlambda has built-in modules for SQL databases, REST APIs, GraphQL, file systems, queues, and more. It was designed from the ground up to be an integration and automation layer connecting your existing systems to modern AI-driven workflows.
Do I need to know Hyperlambda to use your platform or solutions?
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Not at all. We create and maintain the Hyperlambda logic for you. If you'd like to learn it, the syntax is extremely easy to pick up, even for non-developers—but it's entirely optional.
Can Hyperlambda trigger long-running or asynchronous workflows?
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Yes. Hyperlambda supports asynchronous execution, scheduled tasks, queue-based orchestration, and multi-step workflows. It is ideal for systems requiring automation, background processing, and complex business processes.
Is Hyperlambda extensible with custom code?
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Yes. You can write custom high-performance modules in C# and expose them to Hyperlambda. This gives you the speed of declarative logic with the full power of .NET when needed.
Better than Python
Hyperlambda will always outperform Python on simplicity. On average, Python is 5 to 10 times more "complex" if we choose to measure complexity from token count.
This makes it much more suited for creating AI agents and AI chatbots, since it reduces the "stress level" for the LLM during code generation.
In addition, it's a functional programming language, resulting in much less dependencies between different parts of your app, much better encapsulation, and higher cohesion. This allows the LLM to correctly generate code, without requiring loading the entire app's codebase into context to understand how to perform the job.
Chris Wiggins
Resolve Systems
The chatbot you have created is leaps and bounds ahead of other tools I have engaged with! We have seen a 30% decrease in support tickets since we implemented the chatbot.
Samuele Contardi
Software Architect
Kudos for the incredible work: it's the first real IDE dedicated to AI. I tried a few AI agents but you can't really do anything useful with them. I'd love to use it on some project of mine: I can see lots of use cases for this.
Constantine Doukas
Software Developer
Thomas, you are an absolute legend. Another great post and video by you. It scares me, because I know it's true. Thanks for all your work.
Alex Erdei
Frontend Developer
The truth is that I like Firebase, but your system is made much simpler. Nevertheless, it can do all what Firebase can do, plus some interesting things with this AI integration, which Firebase cannot really do. If I look at it financially, your system is also better priced.
Justin Lietz
Software Engineer
It’s so amazing and revolutionary, yet easy to use and elegant. It makes so much sense to just keep moving in that direction, your ideas totally embody first principles thinking.
No-Code on Steroids
Hyperlambda was explicitly created to be a No-Code and AI programming language from the get go.
This makes is simply superior for code generators, such as our Hyperlambda Generator, that can produce Hyperlambda code roughly 50 times faster than OpenAI can produce Python code.
In addition to its AI qualities, it also lends itself to meta programming, allowing us to deliver components such as our CRUD Generator, that can literally produce millions of lines of code per second, without any AI.
Hyperlambda combined with Magic eliminates all the boring repetetive tasks you need to perform when creating AI agents, allowing you to sometimes deliver 10x faster, with 10x higher quality, for 10% of the resource costs.
Resolve Systems already saves $20,000 per month using our AI. They are now integrating our technology horizontally into all of their products.
Try their AI Agent
Fintell have a database of Swedish companies and their finances. They needed an integration to search through this data and answer questions related to it.
Try their AI Agent
Imperial Properties needed an AI Agent to answer questions about the real estate market in Mallorca, integrated with their CMS, to help generate leads.
Try their AI AgentMeta Programming
Meta programming is the art of creating software that creates software. While others starting looking into this in 2023, I've been working on it since 2012. My ideas about it was so revolutionary that when wrote about Hyperlambda in 2017, it became their 5th most read article ever.
By combining meta programming constructs, with AI code generators, we get to leverage the best from both worlds. This implies you do not have to use AI generators for simple stuff like CRUD HTTP endpoints, etc - While leveraging a superior LLM for those places where meta programming doesn't make sense.
To understand the point with meta programming, realise that the form in this screenshot allows me to "seed" my AI agents with thousands of "tools" by simply clicking a button. The process takes 20 seconds in total, and includes no AI. In addition, 100% of our platform is open source.
Declarative
A declarative programming language has been proven to be somewhere between 20 and 50 times easier to learn
Meta Programming
Meta Programming allows the machine to generate your code for the boring stuff 100% automatically
AI programming
Meta programming and declarative programming combined makes it arguably the programming language for AI
Programming at the Speed of Light
In addition to being more "token friendly" than Python, Hyperlambda also has much better performance traits than Python. On average, it's got about 5 to 7 times better performance than Python, and is async to the bone, implying it's also significantly more scalable.
On the software development process itself, it has also proven to be sometimes up to 1,000 times faster on Time2Market, due to its combination of meta programming and its AI code generator capabilities.
In fact, Hyperlambda sometimes also outperforms raw C#, even though it's implemented in C#. Hyperlambda is for example roughly 5% faster than raw C# combined with Entity Framework.
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About AINIRO
AINIRO was founded by me having more than 25 years of professional experience as a software developer and entrepreneur. I am an internationally renowned developer, architect, CTO, and vertical leader. I have written some of the most read software architecture articles ever published by Microsoft, and I have created several successful startups in my life - In addition to having worked on some of the largest software projects on earth.
I started coding when I was 8 years old, and I simply never stopped. That was in 1982!
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