2025
Sid Pardeshi says most current models have a January 2025 knowledge cutoff, so they may miss library security fixes released afterward.
“Most models right now have, I believe, January 2025 as the knowledge cutoff, and there have been a number of libraries that got updated with security fixes after that date”
Sid Pardeshi · Infinite Code Context: AI Coding at Enterprise Scale w/ Blitzy CEO Brian Elliott & CTO Sid Pardeshi, 1:41:34
2026
Sid Pardeshi says Blitzy's open positions carry cash salary ranges of $100,000 to $300,000, with equity separate.
“we have a number of open positions, and the salary range is anywhere between 100K to 300K, right?”
Sid Pardeshi · Infinite Code Context: AI Coding at Enterprise Scale w/ Blitzy CEO Brian Elliott & CTO Sid Pardeshi, 1:50:38
Undated
Brian Elliott introduces Sid Pardeshi as a prolific inventor at NVIDIA who has long been interested in building large software systems.
“since Sid was a a prolific inventor at NVIDIA, he's been he's been thinking about building large scale software systems since he was a little little boy”
Nathan Labenz · Infinite Code Context: AI Coding at Enterprise Scale w/ Blitzy CEO Brian Elliott & CTO Sid Pardeshi, 1:07:05
Undated
Sid Pardeshi says OpenAI's early o-series reasoning models were reluctant to use tools and jumped to conclusions without researching the codebase.
“one interesting behavior the o series of models of OpenAI had was that they were very reluctant to use tools.”
Sid Pardeshi · Infinite Code Context: AI Coding at Enterprise Scale w/ Blitzy CEO Brian Elliott & CTO Sid Pardeshi, 1:13:03
Undated
Sid Pardeshi says Anthropic's Claude 3.7 was over-eager and made many tool-calling mistakes that caused tool schema errors.
“The problem with 3.7 was that it was over eager. So 3.7 made a lot of mistakes when calling tools, uh, leading to, you know, tool schema errors.”
Sid Pardeshi · Infinite Code Context: AI Coding at Enterprise Scale w/ Blitzy CEO Brian Elliott & CTO Sid Pardeshi, 1:14:35
Undated
Sid Pardeshi says reasoning budgets are typically around 32K tokens for Claude Opus and Sonnet, 64K for some others, and about 128K for OpenAI models.
“Typically, we've seen as thirty two K for Opus and Sonnet sixty four K for some others. For OpenAI model, this is about 128 K tokens.”
Sid Pardeshi · Infinite Code Context: AI Coding at Enterprise Scale w/ Blitzy CEO Brian Elliott & CTO Sid Pardeshi, 1:21:17
Undated
Sid Pardeshi says the efficient frontier for an effective coding context window is still under 100,000 tokens, despite models advertising one million or more.
“and if you always want, you know, code that compiles, works, runs, or eventually gets to that point, is still less than 100,000 tokens”
Sid Pardeshi · Infinite Code Context: AI Coding at Enterprise Scale w/ Blitzy CEO Brian Elliott & CTO Sid Pardeshi, 1:25:26