AI that can understand code.

Harness the power of Artificial Intelligence to describe, summarize and document your code.

main.py

@app.route("/predict", methods=["POST"])
def predict():
    data = {"success": False}
    
    if flask.request.method == "POST":
        if flask.request.get_json().get("data") is not None:
            data = flask.request.get_json().get("data")
            data = np.array(data)
            data = data.reshape(1,28,28,1)
            result = run(data)
            data["success"] = True
            data["result"] = result.tolist()

    return flask.jsonify(data)

if __name__ == "__main__":
    init()
    app.run(host='0.0.0.0', port=5000)


    

AI response:

!##!

Project Gemini (11).png
app.py

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import tensorflow as tf
from tensorflow import keras
import numpy as np
import matplotlib.pyplot as plt


mnist = keras.datasets.mnist
(train_images, train_labels) = mnist.load_data()


train_images = train_images / 255.0
test_images = test_images / 255.0


model = keras.Sequential([
    keras.layers.Flatten(input_shape=(28, 28)),
    keras.layers.Dense(128, activation='relu'),
    keras.layers.Dense(10, activation='softmax')
])
    

!##!

Focus on what matters.

Asdevelopers, we want to build new products and test new ideas, not spend countless hours documenting or reading code. With Describe, you can get back time with our cutting-edge engines.

Use cases

Discover different ways to utilize Describe's engines.

Auto documentation

Autonomously update your codebases documentation with a common voice.  

Assisted onboarding

Help new developers understand your codebase faster with automatic summarization. 

Project Gemini (12).png

Speed up debugging

Use one of Describe's engines to understand the intention of buggy code to diagnose a solution faster.