BEGIN:VCALENDAR VERSION:2.0 PRODID:IEEE vTools.Events//EN CALSCALE:GREGORIAN BEGIN:VTIMEZONE TZID:America/New_York BEGIN:DAYLIGHT DTSTART:20260308T030000 TZOFFSETFROM:-0500 TZOFFSETTO:-0400 RRULE:FREQ=YEARLY;BYDAY=2SU;BYMONTH=3 TZNAME:EDT END:DAYLIGHT BEGIN:STANDARD DTSTART:20261101T010000 TZOFFSETFROM:-0400 TZOFFSETTO:-0500 RRULE:FREQ=YEARLY;BYDAY=1SU;BYMONTH=11 TZNAME:EST END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTAMP:20260403T155954Z UID:D8F89989-5608-45D6-B1AE-BBB7357CA6E0 DTSTART;TZID=America/New_York:20260522T170000 DTEND;TZID=America/New_York:20260522T180000 DESCRIPTION:AI agents have evolved far beyond chatbots and code autocomplet e. Today's agentic systems can plan\, write\, test\, and debug software au tonomously — functioning as active participants in the development lifec ycle. But what's actually happening under the hood?\n\nThis session breaks down the architecture behind AI coding agents: how large language models are augmented with tool use (file systems\, terminals\, code search\, comp ilers) to interact with real codebases\, how they decompose complex tasks into executable steps\, and how the agentic loop — plan\, act\, observe\ , adapt — drives multi-step reasoning. We'll examine the role of context windows\, retrieval-augmented generation\, and guardrails that keep agent s reliable and safe.\n\nWe'll then explore the system design and architect ural patterns that make agents work at scale — orchestration frameworks\ , memory management strategies\, multi-agent coordination\, and the tradeo ffs between autonomy and control. Attendees will gain insight into how the se systems are designed end-to-end\, from prompt engineering and tool inte gration to feedback loops and failure recovery.\n\nCritically\, this sessi on reframes the narrative: AI agents are not here to replace engineers — they're force multipliers. The graduates who thrive won't be the ones com peting with agents\, but the ones who know how to direct them. We'll discu ss practical ways students can prepare now — building strong fundamental s in system design and problem decomposition\, learning to evaluate and gu ide AI-generated output\, and developing the judgment that agents still la ck. The engineers of tomorrow won't be measured by how fast they type code \, but by how effectively they architect solutions with intelligent tools at their side.\n\nWhether you're studying computer science\, cybersecurity \, or IT — understanding how these systems work isn't optional anymore. It's the new literacy.\n[]\n\nSpeaker(s): Harshit Kohli\, \n\nVirtual: ht tps://events.vtools.ieee.org/m/552854 LOCATION:Virtual: https://events.vtools.ieee.org/m/552854 ORGANIZER:aneelaagha9@gmail.com SEQUENCE:10 SUMMARY:AI Agents Are the New Software Engineers — Here's How They Actual ly Work URL;VALUE=URI:https://events.vtools.ieee.org/m/552854 X-ALT-DESC:Description: <br /><div>AI agents have evolved far beyond chatbo ts and code autocomplete. Today's agentic systems can plan\, write\, test\ , and debug software autonomously &mdash\; functioning as active participa nts in the development lifecycle. But what's actually happening under the hood?</div>\n<div>&nbsp\;</div>\n<div>This session breaks down the archite cture behind AI coding agents: how large language models are augmented wit h tool use (file systems\, terminals\, code search\, compilers) to interac t with real&nbsp\;codebases\, how they decompose complex tasks into execut able steps\, and how the agentic loop &mdash\; plan\, act\, observe\, adap t &mdash\; drives multi-step reasoning. We'll examine the role of context windows\,&nbsp\;retrieval-augmented generation\, and guardrails that keep agents reliable and safe.</div>\n<div>&nbsp\;</div>\n<div>We'll then explo re the system design and architectural patterns that make agents work at s cale &mdash\; orchestration frameworks\, memory management strategies\, mu lti-agent coordination\, and the tradeoffs&nbsp\;between autonomy and cont rol. Attendees will gain insight into how these systems are designed end-t o-end\, from prompt engineering and tool integration to feedback loops and failure recovery.</div>\n<div>&nbsp\;</div>\n<div>Critically\, this sessi on reframes the narrative: AI agents are not here to replace engineers &md ash\; they're force multipliers. The graduates who thrive won't be the one s competing with agents\, but the ones&nbsp\;who know how to direct them. We'll discuss practical ways students can prepare now &mdash\; building st rong fundamentals in system design and problem decomposition\, learning to evaluate and guide AI-generated output\, and developing the judgment that agents still lack. The engineers of tomorrow won't be measured by how fas t they type code\, but by how effectively they architect solutions with&nb sp\;intelligent tools at their side.</div>\n<div>&nbsp\;</div>\n<div>Wheth er you're studying computer science\, cybersecurity\, or IT &mdash\; under standing how these systems work isn't optional anymore. It's the new liter acy.</div>\n<div><img style="display: block\; margin-left: auto\; margin-r ight: auto\;" src="https://events.vtools.ieee.org/vtools_ui/media/display/ f97c8c6c-7336-4e61-adca-9d4f00acbdc9" alt="" width="638" height="494"></di v>\n<div>&nbsp\;</div> END:VEVENT END:VCALENDAR