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Workshop Intermediate MIT

Improving SDLC using opencode coding agent

Proposal status is Rejected
Session Description

  1. The proposal is about how to create agentic workflows for coding agents such as opencode to make our SDLC better.

  2. The talk would be about understanding and creating single agent workflows and multi agent workflows orchestration.

  3. What should key steps when you are creating agentic workflows.

  4. How to keep making the workflows better.

  5. And how to keep track of the metrics.

Key Takeaways

Key takeaways would be:

  1. How to create agentic workflows

  2. How to calculate metrics on how much the AI is helping in improving SDLC

References

https://opencode.ai/docs/agents/

Session Categories

Introducing a FOSS project or a new version of a popular project
Tutorial about using a FOSS project
Talk License: MIT

Which track are you applying for?

Main track

Speakers

Rishab Bhattacharyya
Rishab Bhattacharyya Senior Software Engineer | Ford Pro

I'm a Senior Software Engineer at Ford Pro with 7+ years of experience, driving product team's excellence by developing AI agent workflows

I lead a dynamic team in building an innersourced Agent workflows library, ensuring a cohesive and intuitive product development across all Ford verticals.

A key achievement has been pioneering on architecting the design system structure, which has significantly streamlined development processes and facilitated easy integration of diverse design themes.

My commitment to performance is evident in successfully reducing unthrottled LCP time from 7.29 seconds to an impressive 2.39 seconds, reduction of the bundle size from 3.46mb to 136kb (96.16% reduction), directly enhancing overall user satisfaction and enhancing the web vitals and SEO.

Prior to Ford Pro, I gained valuable experience as a Software Developer at Verificient Technologies, where I focused on implementing crucial interface functionalities like screen sharing and video/audio call detection. I also played a key role in resolving performance bottlenecks, significantly boosting system efficiency, and enjoyed guiding team members on new technologies.

Currently, I'm expanding my expertise by pursuing a Master of Engineering in Artificial Intelligence and Machine Learning at the Indian Institute of Technology, Kanpur (expected July 2027).

https://www.linkedin.com/in/rishab-bhattacharyya