Open source frameworks as a solution to ambiguity in AI code gen
A deep dive into how structured, opinionated frameworks reduce ambiguity in AI-generated code, and why open source plays an important role.
A deep dive into how structured, opinionated frameworks reduce ambiguity in AI-generated code, and why open source plays an important role.
CSV files seem simple. Just plain text, right? But when they get large, they are not great formats for data exploration. CSVs lack indexing, compression, and structured access.
“Make something people want” has long been the mantra of startups. But what happens when humans aren’t the ones making decisions anymore? The analytics tools we’ve built are fundamentally broken for this new world.
We’re moving away from rigid, one-size-fits-all enterprise solutions and toward a world where individuals can quickly build the exact tools they need. And that means developer tools (especially open-source ones) are more important than ever.
If you’re new to Parquet, think of it as a data format optimized for analytics. Unlike a traditional spreadsheet or a database table that stores data row-by-row, Parquet stores data column-by-column.
Sure that chat-with-your-data app was cute in 2022. If you’re handing over the keys to an LLM without interrogating its output, you’re outsourcing the very thing that makes analytics valuable: human curiosity and creativity.