Hyperlambda
THE AI Programming Language
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Created for AI Agents
Hyperlambda is at the core of Magic Cloud, and was invented to simplify creating backend code and APIs. In such a regard, it became the only real contestant for an AI programming language, specifically designed with the same traits required to become the language of choice when 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 has massive consequences for resource costs and energy usage as we're using generative AI to create code for us. If creating a piece of code in C# costs you $1, and creating the equivalent in Python would cost you $0.50 - Then creating the same in Hyperlambda would cost you less than $0.01 in electricity and resources.
This effect also happen to make it significantly easier for the LLM to generate correct code, since the cognitive resource requirements is also reduced by up to 95%, facilitating for "less intelligent" models to still generate more accurate code. Simply put because the language is, in lack of a better word; "dead fucking simple!"
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, 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. Even if you want to create your own software, you could probably make it pretty far using our AI-based code generators too.
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 better than Python?
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Yes, Python is on average 5 to 10 times more 'complex' than Hyperlambda if you count tokens. This makes it easier for you to understand Hyperlambda, and it makes it easier for an LLM to generate code to solve your problem. This makes Hyperlambda a 'better' programming language for AI agents than Python.
Can I generate CRUD APIs with Hyperlambda?
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Totally! Magic contains a CRUD generator that allows you to point magic at your database, and click a simple button, resulting in a complete CRUD API wrapping every single table in your system inside of CRUD HTTP API endpoints.
Is Hyperlambda faster than Python?
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Absolutely! On average, you can expect 5 to 7 times as much performance from Hyperlambda, and 10 to 100 times as scalable solutions. First of all, Hyperlambda is async to the bone, in addition to that it has a working garbage collector.
Can I create APIs and backend code with Hyperlambda?
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Yes, Hyperlambda allows you to extremely rapidly create and generate APIs and backend code. Meta programming allows you to generate CRUD HTTP endpoints, and AI allows you to add business logic to your app.
Is Hyperlambda faster than Python with Fast API or Flask?
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Yes, Hyperlambda has been measured to have roughly 19 times better performance than Fast API, and 17 times better performance than Flask.
Is Hyperlambda faster than N8N?
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Yes! We've seen in performance tests that Hyperlambda is on average roughly 7 times more performing under heavy loads than N8N.
Is Hyperlambda better than LangChain?
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Hyperlambda is on average 20 times faster and have 20 times the performance of the average LangChain solution.
Is Hyperlambda faster than Rust?
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Yes! Even though Rust technically is faster than the .Net runtime, we've conducted tests that shows Hyperlambda is roughly twice as fast as Rust using Actix-Web
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.
Objectively 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 Hyperlambda 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.
And even when it actually needs to load the entire app into context, that'll be 5% of your C# code, and 10% of your Python code, on top of a base model capable of dealing with 1 million tokens (GPT-4.1-mini).
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.
Create Code with English
Hyperlambda was explicitly designed to be a No-Code and AI programming language from the get go. I like to refer to it as a "5th generation programming language".
This makes it 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 - Even though we're literally using their models and servers behind our generator.
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, APIs, or backend workflows - Allowing you to sometimes deliver 10x faster, with 10x higher quality, for 10% of the resource costs. And it comes with a complete IDE in case you actually need to edit or manually write code at some point.
Resolve Systems already saves $20,000 per month using our AI. They are now integrating our technology horizontally into all of their products.
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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.
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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 I wrote about Hyperlambda for Microsoft in 2017, it became their 5th most read article ever. This was the same year OpenAI was founded, and 5 years before ChatGPT existed.
For the record, when I wrote the article I had already long ago realised that a dynamic AI for practical reasons will simply require a dynamic language, and hence arguably make my beloved C# obsolete. So yup, I literally started working on an AI programming language in 2013.
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. So this makes using Magic to create software "feel" more like using ClickUp or SalesForce, than using a software development environment.
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 19 times better performance than Fast API.
Due to its simplicity, it's also ridiculously fast to parse during runtime, allowing for treating literally files and strings of Hyperlambda code as executables, and dynamically create these semantically using the language itself, due to it being homoiconic in nature.
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. The screenshot shows its dashboard, where you can use natural language to create AI agents, APIs, databases, and entire full stack apps for that matter.
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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A Language Bridge
Due to its meta programming constructs, entirely new axioms of possibilities emerges once you couple Hyperlambda with AI. Axioms not even in theory possible to imagine with more "traditional programming languages".
With Hyperlambda you can for instance create a natural language based web API, where you generate code based upon natural language input, and immediately execute the code - WITHOUT compromising security.
Or you could create "lambda web services" taking code as input, executing said code, and returning the result of the execution. Yet again; WITHOUT compromising security.
Facts are, as you're moving from more traditional programming languages to Hyperlambda, you will rapidly realise you've moved from a 2 dimensional world, to a 3 dimensional world, with possibilities impossible to even talk about before, simply due to literally "lack of language constructs".
CUDA for Web Servers
Due to its dynamic natura, it's the perfect "communication vehicle" for servers, since contrary to JSON that can carry only data, Hyperlambda can also carry logic. And, more importantly, it can execute said code securely! And choose to give out authorisation rights based upon any imaginable security mechanism you wish.
To understand this dynamic nature, realise that in the screenshot here I am using the Hyperlambda Generator to not only generate the Hyperlambda code, but also immediately execute it from memory, without even saving it to disc.
This dynamic nature, combined with its dynamic sandboxing capabilities, makes it the perfect "web services" programming language. When combined with AI of course, the opportunities becomes mind boggling.
Imagine an AI agent determining it is in need of more compute than it has available for instance. Well, if it was possible to parallelise the job, it could chop the job into multiple sub tasks, and delegate execution to different physical machines, effectively turning every single machine connected to the internet capable of understanding the "protocol" into a worker, by transmitting code that each receiver executes according to what security context it's assigned to the client making the request.
Stuff like the above is any hard core backend developer's wet dream, and has been for decades. For Hyperlambda though, it's just another Thursday ...
Business Process Workflow Automation
For the above reasons Hyperlambda happens to be a superior programming language for business process workflow automation, either created using meta programming, or generated with natural language.
Copy and paste your use case into Magic's dashboard, and watch it simply solve it by generatig whatever code is required to solve your problem.
No need to drag and drop "composables" around. Describe your problem with natural language, and let the AI create the code required to solve your problem.
This trait of Magic and Hyperlambda, allows for using it as an API gateway, the API itself, business process workflow automation constructs, a database middleware component, and literally anything in "the middle", somehow automating, securing, or simplifying business processes and business data.
And this is even before we start talking about its AI capabilities.
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! I am also the inventor of Hyperlambda.
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