Code you didn't write

kept by eddie oct 15

Jared Palmer, VP of Engineering at Cognition—the lab behind Devin—explains how AI is shaping the future of software engineering today.

GitHub - jaredpalmer/kev: tiny Jev-like family of decision models built on top of Qwen3.5 you can train and run on your own
Kev provides small, trainable decision models based on Qwen3.5 that support multi‑question System One API and can be run locally.
also on Jared Palmer, #ai-coding, #software-engineering, #developer-tools
AI Comes for the If Statement
Specialized AI deciders Jev and SemIf replace costly generative models for simple if‑then logic, cutting inference cost ~100× while boosting classification accuracy from 47% to over 80%.
also on Jared Palmer, #ai-coding, #software-engineering, #developer-tools
Introducing Kev
Jared Palmer serves as VP of Engineering at Cognition, the applied AI lab that created Devin, focusing on building AI-driven future for software engineering.
also on Cognition, Devin, #ai-coding, #software-engineering, #developer-tools
Introducing FrontierCode
Cognition's FrontierCode benchmark measures code mergeability, finding even top models like Claude Opus 4.8 score only 13.4% on its hardest 50 tasks.
also on Cognition, Devin, #ai-coding, #software-engineering, #developer-tools
The Evolution of the Agent Harness - by Dan McAteer
The article argues that as AI models internalize agent harness capabilities, the remaining harness evolves into an interface for managing scarce human attention rather than directing model behavior.
also on Devin, #ai-coding, #software-engineering, #developer-tools