The latest articles on DEV Community by YiZhe Lim (@yizhe_lim_6afa86be2c5c34d). https://dev.to/yizhe_lim_6afa86be2c5c34d https://media2.dev.to/dynamic/image/width=90,height=90,fit=cover,gravity=auto,format=auto/https:%2F%2Fdev-to-uploads.s3.us-east-2.amazonaws.com%2Fuploads%2Fuser%2Fprofile_image%2F4201378%2F3d617085-5be6-4493-9d03-12f0be539362.png https://dev.to/yizhe_lim_6afa86be2c5c34d en YiZhe Lim Fri, 23 Oct 2026 03:14:28 +0000 https://dev.to/yizhe_lim_6afa86be2c5c34d/exploring-open-source-ai-with-backboard-and-render-for-hacktoberfest-2026-4jij https://dev.to/yizhe_lim_6afa86be2c5c34d/exploring-open-source-ai-with-backboard-and-render-for-hacktoberfest-2026-4jij <p>Hello tech community!<br> 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)!<br> Thanks to MLH, I claimed my $5 Backboard credit and successfully generated my first AI API key.<br> '''python</p> <h1> My upcoming AI integration snippet </h1> <p>import asyncio<br> from backboard import BackboardClient</p> <p>async def main():<br> client = BackboardClient(api_key="YOUR_API_KEY")</p> <div class="highlight js-code-highlight"> <pre class="highlight plaintext"><code># 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) </code></pre> </div> <p>asyncio.run(main())</p> <p>To prepare for the frontend of this AI project, I have also seccessfully deployed a live static site portal on Render:<br> Live Portal: <a href="https://hello-render-hacktoberfest.onrender.com" rel="noopener noreferrer">https://hello-render-hacktoberfest.onrender.com</a></p> <p>Combining Backboard's AI capabilities with Render's smooth deployment makes building open-source AI apps incredibly easy.</p> hacktoberfest ai opensource webdev YiZhe Lim Fri, 23 Oct 2026 02:51:42 +0000 https://dev.to/yizhe_lim_6afa86be2c5c34d/deploying-my-first-site-on-render-for-hacktoberfest-2026-1jjf https://dev.to/yizhe_lim_6afa86be2c5c34d/deploying-my-first-site-on-render-for-hacktoberfest-2026-1jjf <p>Hello everyone!<br> I'm excited to share that I just deployed my very first static site on Render as part of the Hacktoberfest 2026 DEV Challenges!<br> Thanks to the $50 Render credit provided by Major League Hacking (MLH), the entire deployment processwas incredibly smooth. L connected my GitHub repository and had the site live in less than a minute.<br> You can check out my live site here:<br> <a href="https://hello-render-hacktoberfest.onrender.com" rel="noopener noreferrer">https://hello-render-hacktoberfest.onrender.com</a><br> Looking forward to completing more challenges this week! Happy hacking!</p> hacktoberfest webdev beginners mlh