M_N_Nik (@eminsk)

from pureapk import APKBuilder, sign_apk, align_zip_entry

# Build APK in pure Python with 16KB page alignment
builder = APKBuilder("app.apk")
builder.add_file("AndroidManifest.xml", manifest_bytes)
builder.add_file("classes.dex", dex_bytes)
builder.build()

# Sign with APK Signature Scheme v1 + v2
sign_apk("app.apk", "key.pk8", "cert.x509.pem")

# CLI Compilation to standalone native binary
pyfasm compile main.py -o app.exe --opt-level 3 --standalone

# Result: 9 KB standalone PE+ binary with 0 dependencies

import agentjit

@agentjit.compile(guards=["schema_valid"])
def process_agent_task(prompt: str, context: dict):
    # Compiles 30s LLM roundtrips into 0.08ms local CPU execution
    return run_optimized_pipeline(prompt, context)

import nanovector

# Initialize in 0.2ms with cosine metric
index = nanovector.Index(dim=384, metric="cosine")
index.add(embeddings, ids=[1, 2, 3])
top_matches = index.search(query_vector, top_k=5)

import nanogemm
import numpy as np

# Ultra-fast CPU GEMM for edge AI
A = np.random.randn(256, 512).astype(np.float32)
B = np.random.randn(512, 128).astype(np.float32)
C = nanogemm.matmul(A, B)