AI-Native Software Development: Challenges and Best Practices
Details
Critical update: RSVPs on Meetup.com are now closed but event registration is still open on Luma, which will close once we reach capacity. Please do the following if you want to attend this event:
REGISTRATION
To register, please do BOTH of the following:
- Fill in this Event Registration Form: https://luma.com/l78ylh32 (attendees will be selected and invited based on this exclusively)
- Subscribe to the Deep Tech Stars newsletter: https://substack.com/@deeptechstars
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In this session, we’ll explore AI-native software development through two deep-dive talks covering both sides of the workflow: how to effectively generate software using AI, agents and context, and how to verify AI-generated code using testing, evaluations and guardrails.
Whether you're already using tools like AI coding assistants and agents extensively or looking to develop a more structured approach to building large and complex software systems with AI, this session will offer practical frameworks, technical insights and best practices for the AI-native developer.
AGENDA
10:00 AM – Welcome note by Nokia
10:10 AM – Introduction by Deep Tech Stars
10:15 AM – GenAI Quiz
10:30 AM – AI-Native Code Generation: Context, Agents and Systems Thinking - Explore the AI-native development workflow, context engineering for code generation, different agentic coding workflows, best practices and developer playbook for building large and complex codebases
11:30 AM – AI-Native Code Verification: Testing, Evaluation and Guardrails, using Helm Chart Auditor (Cursor Skill) - Explore AI-native testing, evaluation techniques and guardrails for validating AI-generated code, with best practices for verification during as well as after code generation.
Speaker: Asha Rajput - Lead Engineer, MI AN Platforms CSF, Nokia
12:15 PM – Optimizing token usage: Stop Guessing Cursor Spend: A Personal Coach for Chats, Context, and Cost.
Speaker: Malla Avinash Kumar Reddy - SW Engineer, MI AN Platforms, Nokia
12:45 PM – Q&A
1:00 PM – Conclusion
FEE
This session is FREE to attend but seats are limited and available on an invite-only basis. Prior registration is required for receiving an invitation, as per the below process.
REGISTRATION
To register, please do BOTH of the following:
- Fill in this Event Registration Form: https://luma.com/l78ylh32 (attendees will be selected and invited based on this exclusively)
- Subscribe to the Deep Tech Stars newsletter: https://substack.com/@deeptechstars
Please reach Nihal at 9663374431 if you need any clarifications or have any challenges in registration. We look forward to seeing many of you there!
We thank Nokia for co-hosting this session with us.