AI Briefing#software-engineering
The latest AI and developer news about #software-engineering, with the original source and a short summary.
The latest AI and developer news about #software-engineering, with the original source and a short summary.
It measured the problem of code-editing LLMs excessively rewriting instead of making minimal edits.
Introduces the "Skillify" methodology, which permanently fixes AI agent mistakes by converting them into markdown skills and deterministic scripts.
A collection of 56 software principles spanning teams, architecture, quality, and design.
An Anthropic researcher proposes a methodology for safe, AI agent-based production coding.
In the age of AI coding, the role of senior engineers is shifting from code writers to code editors who verify quality.
An analysis of the Claude Code source code lays out the core design principles and open challenges of AI agents.
A story of regaining LLM/Python instincts and codebase understanding through hand-coding
Introducing a runtime/router tool that compiles an agent stack for Claude Code.
Released a workflow and paper for modifying existing code using the Github Copilot agent.
The more AI takes over coding, the weaker the training of judgment, learning, and memory becomes.
This summarizes Ada's design philosophy and its influence on modern languages.
An official documentary covering how Clojure became the infrastructure language of fintech.
Ada was the first to implement the safety features of today's modern languages.
Technology assessment, security, and harnesses are the core of the AI agent era.
This is a real-usage report that 4.7 violates CLAUDE.md prohibition rules more often than 4.6.
Computron autonomously performs web browsing, security checks, and bug fixes every day.
Claude Opus 4.7 is now generally available, improving performance on difficult coding and vision tasks along with output quality.
pi-autoresearch extends Karpathy-style autonomous experimentation into a general-purpose optimization tool.
The author argues that, facing the confusion and risks created by LLMs, we should pause and refuse.
Handle complex tasks with plan mode and step-by-step requests in Claude Code.
A real-world case of splitting code and running four agents in parallel using Claude Code + Rebar.
Critiques the limitations of Agile and highlights the rise of spec-driven development.
Uber said its AI coding spend has already exceeded budget due to the spread of Claude Code.