Cover Image for End-to-End Agentic Coding: Automating Code Gen + Code Reviews

Presented by

Data Phoenix Events is designed to help anyone interested in AI & Data expand their expertise horizons. Our events cover various topics, including MLOps, Gen AI, LLMs, NLP, CV, Data Science, and more.

Hosted By

End-to-End Agentic Coding: Automating Code Gen + Code Reviews

Data Phoenix Events

Virtual

Welcome! To join the event, please register below.

You will be asked to verify token ownership with your wallet.

About Event

The Data Phoenix team invites you to our upcoming webinar, which will take place on October 21st at 9 am PDT (18:00 CEST)

Topic: End-to-End Agentic Coding: Automating Code Gen + Code Reviews
Speakers: Sahil M Bansal (Enterprise Product Marketing Lead at CodeRabbit)

AI can generate code fast, but reviews remain the bottleneck. In this talk, we’ll show how agentic workflows in the CLI can automate code generation and code reviews end-to-end. Learn how context from repo history, dependency graphs, and tests powers LLM-driven reviews that catch real bugs, unsafe refactors, and race conditions. You’ll walk away with patterns and demos you can apply to speed up PRs without leaving your terminal.

Key highlights:

Implementing an independent quality gate: understand why your code review tooling needs to be fundamentally different than your code gen tooling so that it can act as an independent quality gate for your code
Automated code reviews: Learn how you can implement a fully automated agentic loop to handle code generation, review, and fixes wherever you work whether in the CLI, the IDE or PRs
Context Engineering for code reviews: See how incorporating repo history, dependency graphs, MCP servers, and custom review rules leads to reviews that catch far more complex issues than simple bugs
Real-world examples: Walk through of real examples from open-source PRs showing the various type of bugs and defects you can fix with AI code review

Speaker

Sahil M Bansal has worked in both PM and PMM roles in cloud infrastructure and agentic AI space. Sahil has helped shape product narratives and drive adoption of AI-powered code review solutions and multi-cloud platforms. These days he works at the intersection of product, marketing, and developer experience—bringing customer stories to life and championing context-aware AI code reviews. Previously, Sahil spent over six years at Nutanix, leading product management and marketing for the Hybrid Multicloud Platform, and earlier he was the first marketing hire at Netsil, a kubernetes monitoring app, helping build their marketing strategy from the ground up.

Webinar partner

CodeRabbit is a AI code review platform that helps developers catch 50% more bugs and merge PRs 50% faster. CodeRabbit enriches the context behind code-changes, and uses advanced reasoning capabilities of foundational LLM models to deliver high quality AI code reviews. Catch bugs that other tools will miss and ship features faster. CodeRabbit commits $1 million to open source.

Webinar organizer

Data Phoenix is a media and education initiative led by Dmytro Spodarets, focused on AI and Data. Through 100+ webinars featuring speakers from DeepMind, UC Berkeley, Nvidia, Databricks, and other leading companies, it has reached over 25k+ engineers worldwide. Its video production unit covers top conferences such as TechCrunch Disrupt, CES, PyTorch Conference, and AI Infra Summit, while also supporting local AI events in the San Francisco Bay Area to ensure their knowledge reaches the global community.

Please join DataPhoenix Discord and follow us on LinkedIn and YouTube to stay updated on our community events and the latest AI and data news.