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NAME:The Fifth Elephant OSAI meet-up - Hyderabad edition
X-WR-CALNAME:The Fifth Elephant OSAI meet-up - Hyderabad edition
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SUMMARY:The Fifth Elephant OSAI meet-up - Hyderabad edition
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SUMMARY:The Fifth Elephant OSAI meet-up - Hyderabad edition
DTSTART:20250811T093000Z
DTEND:20251101T173000Z
DTSTAMP:20260419T170540Z
UID:session/3xod3jvtx9YtoAQcTZVxEo@hasgeek.com
SEQUENCE:77
CREATED:20250209T111018Z
DESCRIPTION:## Deadline for submissions - Tuesday\, 30 September 2025\n\n*
 *This page is only for submissions for the [Open Source AI (OSAI) meet-up 
 on 1st November in Hyderabad](http://has.gy/OP82).**\n\n# AI in Software L
 ifecycle Development\n**→ Why Software Life Cycle Development?**\nThe So
 ftware Development Life Cycle is the foundation of technology creation. By
  embedding AI into each phase - from initial planning and requirements gat
 hering to coding\, testing\, deployment\, and ongoing maintenance - we can
  unlock significant improvements in productivity\, software quality\, deve
 lopment speed\, and cost-effectiveness. It’s about fundamentally transfo
 rming the craft of software development.\n\n## Topics for submission\nWe a
 re looking for compelling talks and live demonstrations (*approximately 25
 -35 minutes\, including Q&A*) that showcase practical applications\, real-
 world use cases\, and challenges in integrating open-source AI into the SD
 LC. Submissions should ideally focus on:\n\n1. **Leveraging open source NL
 P for AI-assisted requirements analysis and user story generation:** Share
  your experiences with tools like llama\, mistral\, spaCy\, NLTK\, or Hugg
 ing Face models for analyzing user feedback\, deriving requirements\, or a
 iding product teams in creating structured user stories.\n2. **Practical a
 pplications of open source code generation and refactoring tools:** Presen
 t demos and insights on using open-source LLMs and AI tools for code compl
 etion\, suggesting refactoring patterns\, identifying code smells\, or aut
 omating code generation.\n3. **Enhancing test automation and strategy with
  Open Source AI tools:** Discuss how AI (using open-source libraries) can 
 improve test case generation\, manage test data\, predict defects\, or opt
 imize test execution strategies.\n4. **Implementing Open Source AIOps for 
 intelligent monitoring and incident response:** Showcase the use of open-s
 ource AI/ML platforms (e.g.\, Prometheus\, Grafana\, ELK Stack with AI plu
 gins) for anomaly detection\, root cause analysis\, and automating operati
 onal tasks.\n5. **Role of Open Source AI in securing the SDLC:** Explore h
 ow open-source AI tools can assist in static/dynamic code analysis\, ident
 ify security vulnerabilities\, and improve DevSecOps practices.\n6. **AI e
 thics and bias mitigation in open-source SDLC:** Discuss tools like Fairle
 arn or AIF360 for detecting biases in code and requirements\, emphasizing 
 responsible AI practices.\n7. **Agentic AI for collaborative development:*
 * Explore multi-agent systems (e.g.\, using AutoGen) for automated workflo
 ws across teams.\n8. **Sustainable AI practices in SDLC:** Focus on optimi
 zing open-source models for lower carbon footprints\, aligning with India'
 s green tech initiatives.\n\n## Workshop topics and master classes\nWe inv
 ite proposals for interactive workshops and in-depth masterclasses (*typic
 ally 2-4 hours*) that provide attendees with practical skills and foundati
 onal knowledge. These sessions can explore topics within the SDLC theme or
  extend to broader enabling technologies in the open-source AI ecosystem.\
 n1. **Hands-on: building a simple AI Assistant for developer productivity*
 * (using Open Source Libraries): A practical workshop using open-source\, 
 GenAI/ NLP/ML libraries (e.g.\, spaCy\, scikit-learn\, Hugging Face transf
 ormers) to build a tool automating a specific development task (e.g.\, doc
 umentation summarization\, issue classification).\n2. **Prompt engineering
  for developers and QAs:** getting the most from AI Assistants: A skill-bu
 ilding session on writing effective prompts for AI coding assistants\, tes
 t case generators\, and documentation tools.\n3. **Building your first ope
 n source chatbot with:** A hands-on workshop on building a conversational 
 AI agent\, demonstrating principles of AI-powered digital product creation
 .\n4. **Understanding and contributing to Open Source LLMs:** A deep dive 
 into the architecture and potential of open-source Large Language Models a
 nd how developers can contribute or fine-tune them for SDLC tasks.\n\n---\
 n## Guidelines for speaking\n1. **Here’s a [guide to draft presentations
 ](https://images.hasgeek.com/embed/file/29d3f93818c74c9885eb223986516c5e).
 **\n2. Guidelines for speaking and how to draft your submission are explai
 ned at https://hasgeek.com/fifthelephant/osai-hyd-meetup-cfp/sub\n\n---\n#
 # About the curator \nRamakrishna Reddy Yekulla (Ramky) is a Senior Princi
 pal Product Manager at Red Hat’s data + AI group\, leading the technical
  strategy and operationalization of AI models. He ensures seamless integra
 tion of AI into Red Hat’s products while managing compliance\, governanc
 e\, and scalability. \nA seasoned open-source contributor\, Ramky has work
 ed on projects like Fedora\, Django\, GNOME\, and GlusterFS. His expertise
  spans system design\, functional programming\, and AI infrastructure.\n\n
 ## Queries & contact information\n💬 Comment on the [discussion forum](h
 ttps://hasgeek.com/fifthelephant/osai-hyd-meetup-cfp/comments)  \n📞 Cal
 l: **+91 7676332020**  \n📧 Email: **info@hasgeek.com**  
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