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    <title>DEV Community: devheal labs ai</title>
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      <title>I Built a Programming Language with Built-in AI — Here's What I Learned</title>
      <dc:creator>devheal labs ai</dc:creator>
      <pubDate>Mon, 06 Apr 2026 04:00:11 +0000</pubDate>
      <link>https://dev.to/devheal_labs_ai/i-built-a-programming-language-with-built-in-ai-heres-what-i-learned-2oj4</link>
      <guid>https://dev.to/devheal_labs_ai/i-built-a-programming-language-with-built-in-ai-heres-what-i-learned-2oj4</guid>
      <description>&lt;div class="highlight js-code-highlight"&gt;
&lt;pre class="highlight markdown"&gt;&lt;code&gt;Building a programming language from scratch was never the plan. I just wanted to build AI apps without drowning in boilerplate.

But after the 50th time writing the same Python + Flask + OpenAI SDK + error handling + JSON parsing + auth middleware combo, I thought: &lt;span class="gs"&gt;**what if the AI was just... part of the language?**&lt;/span&gt;

That's how &lt;span class="p"&gt;[&lt;/span&gt;&lt;span class="nv"&gt;NC&lt;/span&gt;&lt;span class="p"&gt;](&lt;/span&gt;&lt;span class="sx"&gt;https://github.com/devheallabs-ai/nc&lt;/span&gt;&lt;span class="p"&gt;)&lt;/span&gt; was born.

&lt;span class="gu"&gt;## What NC Looks Like&lt;/span&gt;

Here's a complete AI-powered REST API in NC:

&lt;/code&gt;&lt;/pre&gt;

&lt;/div&gt;

&lt;p&gt;&lt;br&gt;
nc&lt;br&gt;
service "classifier"&lt;br&gt;
version "1.0.0"&lt;/p&gt;

&lt;p&gt;to classify with ticket:&lt;br&gt;
    ask AI to "classify this support ticket" using ticket&lt;br&gt;
        save as category&lt;br&gt;
    respond with category&lt;/p&gt;

&lt;p&gt;api:&lt;br&gt;
    POST /classify runs classify&lt;br&gt;
&lt;/p&gt;

&lt;div class="highlight js-code-highlight"&gt;
&lt;pre class="highlight plaintext"&gt;&lt;code&gt;
Run it:

&lt;/code&gt;&lt;/pre&gt;

&lt;/div&gt;

&lt;p&gt;&lt;br&gt;
bash&lt;br&gt;
nc serve classifier.nc&lt;br&gt;
&lt;/p&gt;

&lt;div class="highlight js-code-highlight"&gt;
&lt;pre class="highlight plaintext"&gt;&lt;code&gt;
That's a running HTTP server with AI inference. No imports. No API keys. No dependencies.

## The Problem I Was Trying to Solve

Every AI app I built looked the same:

&lt;/code&gt;&lt;/pre&gt;

&lt;/div&gt;

&lt;p&gt;&lt;br&gt;
python&lt;/p&gt;
&lt;h1&gt;
  
  
  The ceremony before you can do anything useful
&lt;/h1&gt;

&lt;p&gt;import os&lt;br&gt;
import json&lt;br&gt;
from flask import Flask, request, jsonify&lt;br&gt;
import openai&lt;/p&gt;

&lt;p&gt;app = Flask(&lt;strong&gt;name&lt;/strong&gt;)&lt;br&gt;
client = openai.Client(api_key=os.environ.get("OPENAI_API_KEY"))&lt;/p&gt;

&lt;p&gt;@app.route("/classify", methods=["POST"])&lt;br&gt;
def classify():&lt;br&gt;
    try:&lt;br&gt;
        data = request.get_json()&lt;br&gt;
        ticket = data.get("ticket", "")&lt;br&gt;
        response = client.chat.completions.create(&lt;br&gt;
            model="gpt-4",&lt;br&gt;
            messages=[{"role": "user", "content": f"Classify this ticket: {ticket}"}]&lt;br&gt;
        )&lt;br&gt;
        result = response.choices[0].message.content&lt;br&gt;
        return jsonify({"category": result})&lt;br&gt;
    except Exception as e:&lt;br&gt;
        return jsonify({"error": str(e)}), 500&lt;/p&gt;

&lt;p&gt;if &lt;strong&gt;name&lt;/strong&gt; == "&lt;strong&gt;main&lt;/strong&gt;":&lt;br&gt;
    app.run(port=5000)&lt;br&gt;
&lt;/p&gt;

&lt;div class="highlight js-code-highlight"&gt;
&lt;pre class="highlight plaintext"&gt;&lt;code&gt;
25 lines for one AI call. And that's without rate limiting, retry logic, input validation, or auth. In NC, the same thing is 11 lines.

## What I Learned Building a Language

### 1. The C engine was the easy part

NC's engine is written in C11. The tokenizer, parser, AST, and bytecode compiler were straightforward — there's 50 years of knowledge about how to build compilers. We have 485 C unit tests and 113 language test files, all passing.

### 2. The built-in AI model was the hard part

NC ships with a 5M parameter decoder-only transformer and BPE tokenizer, embedded in the binary. Training it on a 549-file NC corpus to generate meaningful code completions and classifications — that was months of work. The final eval perplexity is 77.70.

### 3. Plain-English syntax is a design constraint, not just syntax sugar

When your syntax reads like English, every new feature has to "read right." You can't just add operators — you have to think about how a non-programmer would read the code out loud. This slowed us down but made the language more accessible.

### 4. Zero dependencies is a feature

NC is a single binary — 1.3 MB on macOS. No Python, no Node, no pip, no npm. Install in 30 seconds:

&lt;/code&gt;&lt;/pre&gt;

&lt;/div&gt;

&lt;p&gt;&lt;br&gt;
bash&lt;br&gt;
curl -sSL &lt;a href="https://nc.devheallabs.in/install.sh" rel="noopener noreferrer"&gt;https://nc.devheallabs.in/install.sh&lt;/a&gt; | bash&lt;br&gt;
&lt;/p&gt;

&lt;div class="highlight js-code-highlight"&gt;
&lt;pre class="highlight plaintext"&gt;&lt;code&gt;
We've gotten more positive feedback about "it just works" than about any individual feature.

## The Stack NC Replaces

| What you need today | What NC gives you |
|---|---|
| Python + Flask + requests + dotenv | One `.nc` file |
| React + Next.js + npm | `nc ui compile app.ncui` |
| OpenAI SDK + API keys + error handling | `ask AI to "..." using data` |
| Docker + requirements.txt + Procfile | `nc serve app.nc` |

## NC UI — Frontends in Plain English

NC isn't just a backend language. NC UI lets you write frontends:

&lt;/code&gt;&lt;/pre&gt;

&lt;/div&gt;

&lt;p&gt;&lt;br&gt;
plaintext&lt;br&gt;
page "Dashboard":&lt;br&gt;
    header "Sales Overview"&lt;br&gt;
    chart line using sales_data&lt;br&gt;
    table using recent_orders&lt;br&gt;
&lt;/p&gt;

&lt;div class="highlight js-code-highlight"&gt;
&lt;pre class="highlight plaintext"&gt;&lt;code&gt;
This compiles to production HTML/CSS/JS with zero dependencies. No React. No Node.

## Try It

&lt;/code&gt;&lt;/pre&gt;

&lt;/div&gt;

&lt;p&gt;&lt;br&gt;
bash&lt;/p&gt;
&lt;h1&gt;
  
  
  Install
&lt;/h1&gt;

&lt;p&gt;curl -sSL &lt;a href="https://nc.devheallabs.in/install.sh" rel="noopener noreferrer"&gt;https://nc.devheallabs.in/install.sh&lt;/a&gt; | bash&lt;/p&gt;
&lt;h1&gt;
  
  
  Hello World
&lt;/h1&gt;

&lt;p&gt;echo 'show "Hello from NC!"' &amp;gt; hello.nc&lt;br&gt;
nc run hello.nc&lt;/p&gt;
&lt;h1&gt;
  
  
  Start an AI service
&lt;/h1&gt;

&lt;p&gt;nc serve classifier.nc&lt;br&gt;
&lt;/p&gt;

&lt;div class="highlight js-code-highlight"&gt;
&lt;pre class="highlight plaintext"&gt;&lt;code&gt;
## Links

- **GitHub**: [github.com/devheallabs-ai/nc](https://github.com/devheallabs-ai/nc) (Apache 2.0)
- **Documentation**: [nc.devheallabs.in](https://nc.devheallabs.in)
- **Website**: [devheallabs.in](https://devheallabs.in)

NC is open source under Apache 2.0. We'd love your feedback — issues, PRs, or just a star if you think the concept is interesting.

---

*Built by [DevHeal Labs AI](https://devheallabs.in) in Hyderabad, India.*
&lt;/code&gt;&lt;/pre&gt;

&lt;/div&gt;



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