A newly hired engineer at a large company said on X that Claude Code now handles nearly all of the team’s engineering work, from specification documents and code to testing, PRDs, tickets, and proposed fixes. According to the post, management believes code shipping is no longer the bottleneck and has kept pushing the team to deliver faster. The engineer said staff are working 12 to 13 hours a day, but much of that time is spent repeatedly prompting AI tools and submitting code rather than reviewing what was generated.
The post also said team members have almost no time to read the code produced by AI or to properly resolve bugs. The engineer described the workflow as a loop shared across junior and senior staff alike: talk to AI, submit code, and move on. While the author said they are not opposed to AI-assisted programming, they argued teams still need time to check code and understand the systems they are shipping. The post later spread widely on X, drawing more than 2.42 million views and 22,000 likes.
BlockBeats reported that, according to a post on X highlighted by Dongcha Beating AI, a newly hired engineer at a large company said nearly all of the team’s engineering work is now being done through Claude Code. The post said that includes specification documents, code, tests, PRDs, tickets, and proposed solutions to issues.
The engineer said management believes 「shipping code is not the bottleneck」 and has continued to push the team to increase delivery speed. Staff are working 12 to 13 hours a day, the post said, but much of that time is spent simply 「hitting enter」.
According to the post, team members have almost no time to read the generated code or properly fix bugs. From junior engineers to senior engineers, the workflow has turned into repeated rounds of talking to AI and submitting code, with 「no one thinking anymore」.
The engineer said they are not against using AI for programming, but argued that teams should at least have time to inspect code and understand the system. Instead, the current goal is to get products live as quickly as possible, 「no matter what happens」.
The post was later widely shared and sparked discussion on X, where it drew more than 2.42 million views and 22,000 likes.
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