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DTSTART:20260308T030000
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DTSTART:20261101T010000
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DTSTAMP:20260825T052139Z
UID:41F1DFB4-EAD0-4C06-AB7D-286FAA91D4AD
DTSTART;TZID=America/Los_Angeles:20260825T190000
DTEND;TZID=America/Los_Angeles:20260825T200000
DESCRIPTION:The San Francisco Bay Area chapter of the IEEE Computer Society
  invites to our free and open Virtual Tech Talks (no IEEE membership requi
 red):\n\nSpeaker: Mahesh Reddy Konatham ([Connect on LinkedIn](https://www
 .google.com/url?q=https://www.linkedin.com/in/maheshrkonatham/&amp;sa=D&amp;source
 =calendar&amp;ust=1787541141829510&amp;usg=AOvVaw3QwgT7-ZIIXv3T8HnICKHQ))\n\nTitle
 : Beyond Copilots (Multi-Agent SDLC)\n\nAbstract: While first-generation A
 I developer tools focused on inline code completions (Copilots)\, modern e
 ngineering demands autonomous multi-agent systems capable of executing end
 -to-end software development lifecycle (SDLC) workflows. Moving beyond pas
 sive assistance requires orchestrating specialized\, collaborative agent r
 oles—such as Architects\, Coders\, Reviewers\, and QA Testers—that dec
 ompose complex technical requirements into verifiable\, deterministic unit
 s of work. This talk provides a comprehensive architectural guide to desig
 ning\, orchestrating\, and governing autonomous multi-agent pipelines acro
 ss the SDLC. We examine communication topologies\, state management\, shar
 ed context protocols (MCP)\, and verification harnesses that prevent error
  propagation. Drawing on practical patterns from high-reliability enterpri
 se systems\, full-stack microservices\, and mobile platforms\, we demonstr
 ate how to build multi-agent systems that autonomously design\, implement\
 , test\, and safely deploy software while keeping human engineers in the l
 oop for high-leverage architectural decisions.\n\nBio: Mahesh Reddy Konath
 am is a Senior Software Engineer at PayPal\, specializing in building scal
 able full-stack applications\, robust distributed systems\, and modern mob
 ile solutions. He holds a Master of Science in Software Engineering from S
 an Jose State University and a Bachelor of Technology from NIT Trichy. Wit
 h broad experience spanning fintech\, developer platforms\, and enterprise
  utilities\, Mahesh has spent the past few years deep in the Credit and Bu
 y Now\, Pay Later (BNPL) domain at PayPal\, architecting resilient backend
  services\, high-throughput microservices\, and customer-facing interfaces
 . His technical expertise spans distributed backend architectures\, Androi
 d application development\, React-based frontends\, and cloud infrastructu
 re. Mahesh has led key engineering initiatives in automated visual testing
 \, performance optimization\, and developer productivity across large-scal
 e systems. Mahesh is deeply passionate about Generative AI\, Agentic SDLC\
 , Loop Engineering\, and Model Context Protocols (MCPs). His current focus
  centers on architecting self-correcting agentic workflows\, structured co
 ntext protocols\, and intelligent verification loops that empower engineer
 ing teams to deliver robust\, enterprise-grade software with speed and rel
 iability.\n\nSpeaker(s): Mahesh Reddy Konatham\n\nVirtual: https://events.
 vtools.ieee.org/m/573287
LOCATION:Virtual: https://events.vtools.ieee.org/m/573287
ORGANIZER:ruben.glatt@ieee.org
SEQUENCE:14
SUMMARY:Tech Talk: Beyond Copilots (Multi-Agent SDLC)
URL;VALUE=URI:https://events.vtools.ieee.org/m/573287
X-ALT-DESC:Description: &lt;br /&gt;&lt;p&gt;The San Francisco Bay Area chapter of the 
 IEEE Computer Society invites to our free and open Virtual Tech Talks (no 
 IEEE membership required):&lt;/p&gt;\n&lt;p&gt;&lt;strong&gt;Speaker:&lt;/strong&gt;&lt;strong&gt;&amp;nbsp\
 ;&lt;/strong&gt;Mahesh Reddy Konatham&amp;nbsp\;&amp;nbsp\;(&lt;u&gt;&lt;a href=&quot;https://www.goog
 le.com/url?q=https://www.linkedin.com/in/maheshrkonatham/&amp;amp\;sa=D&amp;amp\;s
 ource=calendar&amp;amp\;ust=1787541141829510&amp;amp\;usg=AOvVaw3QwgT7-ZIIXv3T8HnI
 CKHQ&quot; target=&quot;_blank&quot; rel=&quot;noopener&quot;&gt;Connect on LinkedIn&lt;/a&gt;&lt;/u&gt;)&lt;/p&gt;\n&lt;p&gt;
 &lt;strong&gt;Title:&amp;nbsp\;&lt;/strong&gt;Beyond Copilots (Multi-Agent SDLC)&lt;/p&gt;\n&lt;p&gt;&lt;
 strong&gt;Abstract:&lt;/strong&gt;&amp;nbsp\;While first-generation AI developer tools 
 focused on inline code completions (Copilots)\, modern engineering demands
  autonomous multi-agent systems capable of executing end-to-end software d
 evelopment lifecycle (SDLC) workflows. Moving beyond passive assistance re
 quires orchestrating specialized\, collaborative agent roles&amp;mdash\;such a
 s Architects\, Coders\, Reviewers\, and QA Testers&amp;mdash\;that decompose c
 omplex technical requirements into verifiable\, deterministic units of wor
 k. This talk provides a comprehensive architectural guide to designing\, o
 rchestrating\, and governing autonomous multi-agent pipelines across the S
 DLC. We examine communication topologies\, state management\, shared conte
 xt protocols (MCP)\, and verification harnesses that prevent error propaga
 tion. Drawing on practical patterns from high-reliability enterprise syste
 ms\, full-stack microservices\, and mobile platforms\, we demonstrate how 
 to build multi-agent systems that autonomously design\, implement\, test\,
  and safely deploy software while keeping human engineers in the loop for 
 high-leverage architectural decisions.&lt;/p&gt;\n&lt;p&gt;&lt;strong&gt;Bio:&lt;/strong&gt; Mahes
 h Reddy Konatham is a Senior Software Engineer at PayPal\, specializing in
  building scalable full-stack applications\, robust distributed systems\, 
 and modern mobile solutions. He holds a Master of Science in Software Engi
 neering from San Jose State University and a Bachelor of Technology from N
 IT Trichy. With broad experience spanning fintech\, developer platforms\, 
 and enterprise utilities\, Mahesh has spent the past few years deep in the
  Credit and Buy Now\, Pay Later (BNPL) domain at PayPal\, architecting res
 ilient backend services\, high-throughput microservices\, and customer-fac
 ing interfaces. His technical expertise spans distributed backend architec
 tures\, Android application development\, React-based frontends\, and clou
 d infrastructure. Mahesh has led key engineering initiatives in automated 
 visual testing\, performance optimization\, and developer productivity acr
 oss large-scale systems. Mahesh is deeply passionate about Generative AI\,
  Agentic SDLC\, Loop Engineering\, and Model Context Protocols (MCPs). His
  current focus centers on architecting self-correcting agentic workflows\,
  structured context protocols\, and intelligent verification loops that em
 power engineering teams to deliver robust\, enterprise-grade software with
  speed and reliability.&lt;/p&gt;
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