November 20, 2023

Reasoning vs. Fluency

↯ One big idea to spark your curiosity

Generative AI is poised to revolutionize the entire software development landscape, with the promise of fluently writing code on behalf of programmers. However, programming is a discipline that requires precision and deep reasoning, not just fluency: minor nuances in code can lead to wildly different outcomes. As a result, AI-driven code generation needs to involve a human (developer) in the loop. Developers still need to meticulously review, refactor, and test AI-generated code (aided by AI, of course) before incorporating it into their projects. Traditional programming languages are a poor fit for this human-in-the-loop workflow: generated code is too low-level, syntactically verbose, and comprehensible only by highly-trained experts, even then requiring significant effort.

Introducing Fractl: Generative AI-powered Programming Language, Fractl

Funding

↯ Developer-friendly companies that announced new funding rounds

Fractl, a data-oriented, declarative programming language for building business applications that is purpose-built for generative AI, raised $1m in pre-Seed funding.

Canopy, a data composition platform that helps engineering teams connect to data in SaaS applications and transform it for use in their own applications, raised $4m in Seed funding.

Martian, an LLM router that can choose the best model for tasks, helping reduce costs and improve performance, raised $9m in Seed funding.

Solvimon, an API-based pricing and billing platform that enables more flexible monetization models (like metering), raised €9M in Seed funding.

VaultSpeed, a platform for automating data transformation across cloud data warehouses and lakehouses, raised $15.9m in Series A funding.