Скачать или смотреть Sid Pardeshi, Co-Founder, CTO & Inventor of Blitzy

Welcome Sid Pardeshi, Co-Founder, CTO & Inventor of Blitzy on this episode of 🔥The Lantern 🔥

🧠 How did Blitzy get started? 🧠

Sid started his career at NVIDIA. He built Generative AI before it had a name, filing patents and learning from and their founder Jensen Huang.

Blitzy is on a mission to pursue relentless automation in the AI software development lifecycle, unlocking tremendous productivity gains for the next era of enterprise software.

❄️ What makes Blitzy unique? ❄️

The concept of looking forward and reasoning back is a core foundation of their approach as they thought about the evolution of the software development lifecycle.

In 2023, when models contained 5,000 token context windows (only 50-500 lines of code), they envisioned a system that would “stand on the shoulders of giants”.

Blitzy would incorporate the best large language models as they evolved to automate the entire software development lifecycle. You wouldn’t need to change your process to use Blitzy!

Just by writing great specs & documenting core requirements, Blitzy can then help build a plan and then go execute 80% of that plan autonomously without a human in the loop.

🗺️ Where is Blitzy headed? What are the technical breakthroughs that enables this technology? 🗺️

Context is the major opportunity (and challenge) within enterprises. A lot of products claim to work with large codebases.

Blitzy has solved the context window challenge by inventing an indexing technology that’s a hybrid between a graph and vector database. It's dynamic enough to work with any language, and not locked into abstract syntax trees, using LLMs to really understand your codebase.

Next, the runtime scale of operations allows Blitzy to leverage multiple models for specific purposes.

Leveraging the best LLMs for each use case, sometimes even fusing different LLMs together to produce the experience of a metamodel, gives them the ability to understand “infinite” context with the highest quality results for the specific needs of an enterprise.

🏋 What are the problems engineers and new team members can expect to work on at Blitzy? 🏋

This is a once in a lifetime opportunity and today...Blitzy is the only tool of its kind.

Their team walks into meetings with enterprises confidently and that’s what they hear in response too. They’ve solved the fundamental problems that would prohibit building a system like this, making the opportunity feel like NVIDIA all over again (back in 2016!).

In 2025, enterprises realized that they could adopt AI in many cases. 2026 is where we’re going to begin to see the faster ramp!

They’ve built the breakthrough, have something that works, and now it’s time to take it to the next level helping change the way enterprises use AI!

As we race into 2026 at MGMT Boston, make sure to watch Blitzy, one of the leading AI enterprise startups here in Boston to learn how they’re building their team for Blitz-scale!