Hello tech community!
For this week's Hacktoberfest 2026 DEV Challange, the goal is to build with open-source AI. I am excited to share my journey setting up the Backboard API to explore open-source Large Language Models (LLMs)!
Thanks to MLH, I claimed my $5 Backboard credit and successfully generated my first AI API key.
'''python
My upcoming AI integration snippet
import asyncio
from backboard import BackboardClient
async def main():
client = BackboardClient(api_key="YOUR_API_KEY")
# Send a message — thread and assistant are auto-created
response = await client.send_message(
"Hello! I'm excited to get started.",
memory="Auto",
)
print(response.content)
# Continue the conversation using the returned thread_id
response = await client.send_message(
"What can you help me with?",
thread_id=response.thread_id,
)
print(response.content)
asyncio.run(main())
To prepare for the frontend of this AI project, I have also seccessfully deployed a live static site portal on Render:
Live Portal: https://hello-render-hacktoberfest.onrender.com
Combining Backboard's AI capabilities with Render's smooth deployment makes building open-source AI apps incredibly easy.
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