Explainer / Published 2026-10-31

Cisco gives a 27-year-old unlimited AI tokens to rewrite its old code

Cisco's president handed a former startup founder the job of refactoring 98% of the company's legacy code in 24 months, with unlimited AI tokens and a two-person pitch.

Concept illustration of stacked code panels beside a small spark shape on a pale background, with no people, no logos and no readable text.
Editorial illustration of a code migration; it does not depict Cisco or any real employee.

THE SHORT VERSION

  • Cisco president Jeetu Patel gave 27-year-old Padmanabhan Krishnamurthy the task of refactoring 98% of Cisco's legacy code within 24 months, with unlimited AI tokens.
  • Krishnamurthy joined through Cisco's acquisition of EzDubs and had been working five levels below the role Patel says he was suited to.
  • Patel told him he could go nuts, and said he wants more hires in the same mould who challenge the system and the status quo.

The assignment

Cisco's president and chief product officer has given a 27-year-old employee an unusual mandate: refactor 98 percent of the company's legacy code within 24 months, with four weeks as a proof of concept, and unlimited AI tokens to do it. Fortune reported that Jeetu Patel described the hire as an energizer bunny and told him to go nuts.

Tom's Hardware reported the same details and named the employee as Padmanabhan Krishnamurthy, known as Paddy, a former startup founder who joined Cisco through its acquisition of the translation startup EzDubs.

How he got the job

The assignment came out of a conversation rather than a reorganisation. Tom's Hardware reported that Patel found Krishnamurthy buried away in the organisation doing something unstrategic, five levels below where his experience suggested he belonged, and that in a meeting in Cisco's San Francisco office Krishnamurthy said he could rewrite the company's legacy code with a team of just two people.

That claim is what got him the job. According to the report, Krishnamurthy told Patel that even the most AI-forward people on Patel's own team were not thinking that way. Patel's response was to give him the mandate and the tokens, telling him he could go nuts because he was going to refactor code.

Why legacy code is the real target

Legacy code is the part of a software company that nobody wants to own. It works, it is expensive to change, and it holds business rules nobody fully remembers. A 24-month target to refactor 98 percent of it is less a coding exercise than a bet that AI tools can read, test and rewrite code faster than a team of engineers can, without breaking the business in the process.

The proof-of-concept month matters more than the headline number. If a two-person team can show a working pipeline in four weeks, the project moves from a pitch to a programme; if it cannot, the 98 percent figure is a slogan. The report does not say what happens after the four weeks.

What unlimited tokens actually buy

Unlimited AI tokens are a strange benefit to advertise, and they reveal something about how the work is expected to be done. Token limits are the practical constraint on agentic coding: an agent that reads a codebase, writes tests and iterates burns far more tokens than a person typing into a chat window. Removing the budget makes the tool a utility rather than an expense to justify.

It also shifts the constraint elsewhere. If tokens are free at the margin, the limits become review capacity, test coverage and the cost of a mistake in code that other systems depend on. A company can buy as much model usage as it wants; it cannot buy back a broken release.

The hiring argument underneath

Patel's bet is also a comment on hiring. Fortune framed the story against a backdrop of youth unemployment rising as AI takes over entry-level work, with companies saying they plan to hire fewer graduates because AI can do the job more cheaply. The Cisco example runs the other way: a junior employee is given one of the largest mandates in the company.

Patel said he wants more hires in that mould, people who challenge the system and the status quo and who energise the teams around them. That is a hard profile to interview for, and the story does not say how many such people Cisco expects to find internally or externally. It is one data point, chosen because it is vivid.

What a 98 percent refactor actually risks

Refactoring almost all of a large company's legacy code is not a single project; it is a series of migrations whose failure modes differ. Some systems are internal and forgiving, others carry billing, authentication or network control, and a rewrite that changes behaviour in one of those is an outage rather than a bug. The 98 percent figure is only meaningful if the remaining 2 percent contains the parts nobody dares touch.

That is also why the two-person claim is the interesting part. Two engineers plus models can produce a lot of rewritten code, but they cannot personally hold the domain knowledge of every service. The test of the project is whether the AI pipeline can extract that knowledge from tests, logs and the people who still remember, which is a different capability from writing code quickly.

What is established, and what is not

Established: a 27-year-old employee, Padmanabhan Krishnamurthy, was given the task of refactoring 98 percent of Cisco's legacy code within 24 months; he joined through the EzDubs acquisition; Patel said he had unlimited tokens and told him to go nuts; four weeks were set as a proof of concept; Patel wants more hires of the same type. Not established: whether the proof of concept succeeded, what the 98 percent target covers technically, and how many other employees get similar mandates.

For readers, the useful signal is that AI coding tools are now being used to change the maintenance backlog rather than to write new features. This site has covered a former GitHub chief executive building an AI coding forge, OpenAI's enterprise workflow partnership with ServiceNow and the scale of AI spending commitments. All three describe companies buying capacity to rework what they already run.

Sources & reporting limits

  1. Cisco is letting a 27-year-old refactor 98% of its legacy code with unlimited AI tokens: 'Go nuts'
  2. Cisco gives 27-year-old engineer unlimited AI tokens to rewrite 98% of the company's legacy code in 24 months
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