Knowledge Base

Article:Thariq Shihipar·9 Sept 2026

The New Rules of Context Engineering for Claude 5 Generation Models

Anthropic engineer Thariq Shihipar explains how the team trimmed over 80% of Claude Code's system prompt for the Claude 5 generation. Advanced models such as Claude Opus 5 and Claude Fable 5 perform better with less rigid micro-management, benefiting instead from clear interface design, progressive context disclosure, and expressive references.

From Video: How Anthropic Builds Software: Thariq Shihipar on Claude Code and the Future of Engineering

Link:Ryan Peterman·9 Sept 2026

Ryan Peterman on Hands-On Experience with Fable 5.1, GPT6, Claude Code, and Codex

Software engineer Ryan Peterman shares observations on Threads regarding AI tools including Fable 5.1, GPT6, Claude Code, and Codex, comparing rate limits, planning clarity, and user interfaces.

From Video: How Anthropic Builds Software: Thariq Shihipar on Claude Code and the Future of Engineering

Link:Thariq Shihipar·9 Sept 2026

Personal Website and Portfolio of Thariq Shihipar

The personal portfolio website of Thariq Shihipar highlights his background as an engineer and entrepreneur, his past ventures, and his current work on Claude Code at Anthropic.

From Video: How Anthropic Builds Software: Thariq Shihipar on Claude Code and the Future of Engineering

Article:Ryan Peterman·9 Sept 2026

How Anthropic Builds and How Engineering Will Change Soon

In this episode of The Peterman Pod, host Ryan Peterman interviews Thariq Shihipar from Anthropic's Claude Code team about how Anthropic uses models for internal engineering and how software engineering will evolve.

From Video: How Anthropic Builds Software: Thariq Shihipar on Claude Code and the Future of Engineering

Video:CURT·7 Sept 2026

How Anthropic Builds Software: Thariq Shihipar on Claude Code and the Future of Engineering

In an interview with Ryan Peterman, Thariq Shihipar, an engineer on Anthropic's Claude Code team, discusses how engineering practices are evolving alongside advanced AI models. At Anthropic, developers treat Claude as a thought partner operating at higher levels of abstraction, with manual IDE coding largely diminishing. Shihipar discusses the critical role of harness engineering, loop engineering workflows, verification strategies to prevent incidents, and why foundational technical knowledge remains vital even as coding becomes increasingly automated.