Claude

How Anthropic uses Claude in Product Engineering

Product engineers lose hours toggling between tools and tackling subtasks one at a time. Software engineer Chuma Kabaghe shows how she uses Claude Code to onboard onto unfamiliar codebases in minutes, run autonomous testing loops, and manage parallel coding sessions, reducing context switching and shipping faster. Check out other stories in the "How Anthropic uses Claude" series, below: - How Anthropic uses Claude in Legal: https://www.youtube.com/watch?v=tJP6SKfo49c - How Anthropic uses Claude in Marketing: https://www.youtube.com/watch?v=Jp83_JMK74o - How Anthropic uses Claude in Product Management: https://www.youtube.com/watch?v=91AJ0cpgLlQ Get started with Claude Code: https://code.claude.com/docs/en/quickstart

CKChuma Kabaghehost

Apr 20, 2026·2m·Watch on YouTube ↗

📖 CHAPTERS

1. 1

   Claude Code as an engineering “sidekick” and productivity multiplier

   Chuma describes using Claude Code as a reliable assistant that can take on exploration and analysis work, then report back. He frames it as a “superpower” that makes everyday engineering tasks feel dramatically faster.

2. 2

   Project context: building code execution and file generation in Claude.ai

   He explains his initial role at Anthropic: enabling Claude.ai to execute code and generate files. This includes producing artifacts like Excel files as part of the product experience.

3. 3

   Shipping under pressure: delivering in a tight timeline

   The team had a deadline to ship the capability in roughly a month and a half. Claude Code becomes a way to accelerate understanding and implementation to meet the schedule.

4. 4

   Rapid onboarding across disciplines: backend engineer ramping onto a frontend codebase

   Chuma notes he’s primarily a backend engineer working in a frontend-heavy area. He highlights how Claude Code helps him gain “groundings” in an unfamiliar codebase much faster than traditional onboarding.

5. 5

   Key unlock: integrating Claude Code with the Playwright MCP

   One of the most impactful moments was realizing Claude Code could be connected to the Playwright MCP. This enables the agent to interact with and observe the running app to guide implementation decisions.

6. 6

   Kickoff prompt: implementing an Excel renderer from the design doc

   He demonstrates how he starts the task: a clear prompt to implement the Excel renderer, referencing a specific design document. Requirements include preview support for Excel, CSV, and TSV files.

7. 7

   Agent-driven exploration: reading the codebase and inspecting current UI behavior

   Claude Code reads the repository and launches the Claude.ai app via Playwright to understand the current state. It inspects how the previewer looks and confirms the feature is not yet implemented.

8. 8

   Permissioned edits: Claude requests approval before modifying files

   Before making code changes, Claude Code asks for permission to edit relevant files. Chuma approves, reinforcing a workflow where the developer stays in control of modifications.

9. 9

   Implementation loop: iterative changes with Playwright-backed validation

   Claude Code enters an iterative loop—making updates, validating them, and continuing to refine until the feature works. Playwright is used to repeatedly check the app as changes land.

10. 10

    Review and handoff: summarized changes ready for developer inspection

    After completing the loop, Claude Code provides a summary of the changes it made and hands control back for review. The output is positioned as a draft implementation the engineer can evaluate and refine.

11. 11

    What shifts for the engineer: more system-level thinking and trade-offs

    Chuma emphasizes he still writes and builds, but Claude Code moves him up the stack toward architecture and coordination. With implementation details delegated, he can focus more on strategy, trade-offs, and cross-team fit.

12. 12

    Impact on ambition: expanding what feels possible beyond language boundaries

    He closes by describing how Claude Code helps him “dream bigger,” removing constraints imposed by language familiarity. The tool broadens the set of problems he feels empowered to tackle.