Event PAST

Discussion - Topic: Claude Code

28 January Online

About this event

This week's topic: Claude Code

As described in Thoughtworks Technology Radar Vol. #33.

Anthropic’s Claude Code is an agentic AI coding tool that provides a natural language interface and agentic execution model for planning and implementing complex, multi-step workflows. Released less than a year ago, it has already been widely adopted by developers inside and outside Thoughtworks, leading us to place it in Trial. Console-based coding agents such as OpenAI’s Codex CLI, Google’s Gemini CLI and the open-source OpenCode have been released, while IDE-based assistants like Cursor, Windsurf and GitHub Copilot now include agent modes. Even so, Claude Code remains a favorite. We see teams using it not only to write and modify code but also as a general-purpose AI agent for managing specifications, stories, configuration, infrastructure and documentation.

Agentic coding shifts the developer’s focus from writing code to specifying intent and delegating implementation. While this can accelerate development cycles, it can also lead to complacency with AI-generated code, which in turn may result in code that is harder to maintain and evolve — for both humans and AI agents. It’s therefore essential for teams to rigorously manage how Claude Code works, using techniques such as context engineering, curated shared instructions and potentially teams of coding agents.

Zoom link will be added about 5 min before the event starts.

Discussion Resources :

Resources will be added a few days before the event to learn about the topic and help drive the discussion.

Want to find AI jobs?

Join thousands of AI professionals finding their next opportunity

We respect your inbox. Unsubscribe at any time.

© 2026 DevFound.ai. All rights reserved.

Common Questions

Frequently asked questions

Quick answers about how DevFound's AI matching, resumes, and referrals work.

DevFound's AI Copilot ingests your profile, goals, and live job data to deliver curated matches in seconds. Every match includes a resume variant, suggested referrals, and interview prep so you can act immediately. The more feedback you provide, the sharper the Copilot becomes.

AI-led job searches shrink the hours spent sifting through boards and formatting resumes. DevFound pairs automation with your personal outreach, so you reserve energy for interviews and negotiation. Traditional networking still matters, but AI gives you a lift before you even send a message.

Modern AI roles expect comfort with production-grade code, data fluency, and practical ML tooling. The strongest candidates pair deep technical chops with storytelling—translating model impact to product, GTM, and exec partners. Continuous learning keeps you ahead as stacks evolve.

DevFound rewards active seekers. Keep your profile fresh, respond to match quality prompts, and enable alerts so you never miss a role. The AI prioritizes companies and teams that align with your feedback, accelerating both introductions and interview invites.

High-density tech hubs continue to host the deepest AI talent pools, yet distributed teams are catching up fast. Use DevFound filters to hone in on onsite, hybrid, or fully remote roles and watch openings expand across time zones.

DevFound aggregates thousands of remote AI openings and flags the nuances—core hours, async culture, and visa needs—up front. The Copilot also recommends how to position your distributed work experience so hiring managers know you can thrive on a remote team.