Update

Author: diehlpk

index.html

@@ -48,6 +48,11 @@ <h2>Overview</h2>
       <td><b>Title</b></td>
       <td><b>Date</b></td>
   </tr>
+  <tr>
+      <td>Tim Burke</td>
+      <td><a href="#fy265">AI for code development at LANL</a></td>
+      <td>07/09/2025</td>
+  </tr>
   <tr>
       <td>Dominic Marcello</td>
       <td><a href="#fy262">Shedding Light on Interaction Binaries: Radiation Hydrodynamics with Octo-Tiger</a></td>
@@ -137,6 +142,21 @@ <h2>Overview</h2>
 
 <h2>Talks</h2>
 
+<div id="fy265"></div>
+<h3>AI for code development at LANL</h3>
+Speaker: Tim Burke<br>
+Los Alamos National Laboratory<br><br>
+
+Abstract:
+<p>
+As AI rapidly transforms code development, with industry giants like Microsoft reporting up to 30% of new code being AI-generated, this talk explores the AI resources available to LANL developers. We'll overview the large language models accessible to LANL employees, including ChatGPT Enterprise, AWS-hosted LLMs, and locally-running open-weight models. The presentation will cover both chat UI applications and API integrations for IDEs, Python scripts, and agentic workflows. Real-world examples will demonstrate AI's impact on productivity in LANL code projects, along with insights into emerging agentic workflows. This talk aims to equip LANL developers with practical knowledge of AI tools to enhance their coding efficiency and innovation.
+</p>
+
+Bio:
+<p>
+Tim is the MCATK Monte Carlo radiation transport code team leader in XCP-3. He joined the lab as a Metropolis Postdoctoral Fellow in 2017 after receiving his Ph.D. in Nuclear Engineering and Radiological Sciences and Scientific Computing from the University of Michigan. Tim's work interests focus on productivity–accelerating simulations on GPUs and accelerating code development workflows. He is an early adopter of AI at LANL and continues to push for greater AI resources for code developers.
+</p>
+
 
 <div id="fy262"></div>
 <h3>Shedding Light on Interaction Binaries: Radiation Hydrodynamics with Octo-Tiger</h3>