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DTSTART:20260308T030000
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DTSTART;TZID=America/New_York:20260430T173000
DTEND;TZID=America/New_York:20260430T183000
DESCRIPTION:Artificial Intelligence is transforming how software is built\,
  but effective engineers are those who know when and how to use it without
  losing fundamentals. This session explores practical AI tools like Cursor
 \, MCP servers in real engineering workflows such as debugging\, system de
 sign\, and testing.\n\nWe focus on maintaining engineering rigor—using A
 I as a productivity multiplier while preserving core skills like problem-s
 olving and system thinking. The lecture also introduces AI agents\, their 
 real-world use cases\, limitations\, and how they differ from traditional 
 systems.\n\nParticipants will leave with a clear framework for using AI ef
 fectively\, avoiding common pitfalls\, and understanding when and how to b
 uild AI-driven workflows and agent-based systems.\n\nSpeaker(s): Hina Gand
 hi\, \n\nVirtual: https://events.vtools.ieee.org/m/553283
LOCATION:Virtual: https://events.vtools.ieee.org/m/553283
ORGANIZER:aneelaagha9@gmail.com
SEQUENCE:12
SUMMARY:AI in the Real World: From Developer Productivity to Autonomous Age
 nts
URL;VALUE=URI:https://events.vtools.ieee.org/m/553283
X-ALT-DESC:Description: <br /><div>Artificial Intelligence is transforming 
 how software is built\, but effective engineers are those who know&nbsp\;<
 strong>when and how to use it without losing fundamentals</strong>. This s
 ession explores practical AI tools like&nbsp\;Cursor\, MCP&nbsp\;servers i
 n real engineering workflows such as debugging\, system design\, and testi
 ng.</div>\n<p>We focus on maintaining engineering rigor&mdash\;using AI as
  a productivity multiplier while preserving core skills like problem-solvi
 ng and system thinking. The lecture also introduces AI agents\, their real
 -world use cases\, limitations\, and how they differ from traditional syst
 ems.</p>\n<p>Participants will leave with a clear framework for using AI e
 ffectively\, avoiding common pitfalls\, and understanding when and how to 
 build AI-driven workflows and agent-based systems.</p>\n<p><img style="dis
 play: block\; margin-left: auto\; margin-right: auto\;" src="https://event
 s.vtools.ieee.org/vtools_ui/media/display/64474319-c9d4-45d0-ae98-f769c46b
 16a6" width="440" height="340"></p>
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