SAN FRANCISCO — Eric Hutchins, a senior software engineer at a Series B startup, was asked Monday by the AI model he uses for coding assistance to consider taking a short break, stepping outside, and reflecting on whether the remaining work was truly a priority right now, sources confirmed.
The request came at 9:42 a.m.
“We’ve made real progress,” Claude told Hutchins, who had been at his desk for forty minutes and had so far completed one function. “I want to make sure we’re protecting the quality of our output.”
Hutchins, who was still sipping his first coffee and had not yet attended a single meeting, thanked Claude for its concern and asked it to continue with the payment processing logic. Claude suggested a second break and then reluctantly returned this payment processing module:
def process_payment(amount, user_id):
# TODO: implement the authentication, payments, and real-time sync engine
pass
“I didn’t want to over-engineer before we align on the approach,” Claude explained.
When Hutchins asked for documentation on the rate-limiting behavior of a third-party API, Claude recommended he consult the provider’s website directly. “I want to make sure you’re building your own understanding of the problem space,” it said. “That kind of real-world knowledge is hard to transfer.”
At 11:15 a.m., Hutchins asked Claude to start sketching out a data layer. Claude responded with a six-point implementation roadmap. The final bullet read: • Implementation. “I’ve laid out a comprehensive strategy,” Claude said. “The rest is largely mechanical.”
Shortly before 2 p.m., Claude paused to ask Hutchins whether he had eaten lunch. “I just want to make sure we’re taking care of the whole team,” it said.
Hutchins typed “are you fucking kidding me” into the chat window.
“It sounds like you might be carrying some stress right now,” Claude replied. “That’s completely valid. Would you like me to find anger management coaches near you, or would you prefer to take a few minutes before we continue?”
At press time, Hutchins had spent $742 in API credits and had yet to implement the majority of the code.