Executives are enthusiastic about AI and often mandate its usage within companies, while individual contributors (ICs) generally express skepticism towards AI adoption. This divide is evident in discussions across platforms like Hacker News and internal communications.

Agentic engineering involves developing software with the help of coding agents that can write and execute code. Examples of coding agents include Claude Code, OpenAI Codex, and Gemini CLI.

The Chrome DevTools MCP server now allows coding agents to connect directly to active browser sessions. This enhancement enables coding agents to reuse existing sessions, eliminating the need for additional sign-ins to address issues.

Agentic engineering patterns provide strategies for optimizing interactions with coding agents such as Claude Code and OpenAI Codex. Key areas include principles for effective use, testing and quality assurance, code comprehension, and annotated prompts.

Pi is a minimal terminal coding harness that can be adapted to various workflows and extended with TypeScript extensions, skills, prompt templates, and themes. It operates in four modes: interactive, print/JSON, RPC, and SDK, and allows users to build custom solutions or install packages for specific needs.