A principal Google engineer says recent advances in coding agents are no longer theoretical and are already matching complex internal systems built by large teams.
In a new post on X, Jaana Dogan says Google has been working on distributed agent orchestration systems for more than a year, with mixed alignment and slow progress across teams.
A distributed agent orchestration system coordinates multiple specialized AI agents to work together on complex tasks, forming a unified system that communicates, shares data and manages workflows.
She says she gave Anthropic’s coding model a detailed description of the same problem her team had been tackling and got unexpected and impressive results.
“I’m not joking, and this isn’t funny. We have been trying to build distributed agent orchestrators at Google since last year. There are various options, and not everyone is aligned. I gave Claude Code a description of the problem, and it generated what we built last year in an hour.”
She notes that while the output was not perfect, it was functionally close enough to serve as a foundation.
“It’s not perfect, and I’m iterating on it, but this is where we are right now. If you are skeptical of coding agents, try it on a domain you are already an expert of. Build something complex from scratch where you can be the judge of the artifacts.”
Kath Korevec, director of product at Google Labs, chimes in, noting that the real impact lies in how fast working prototypes can unblock large organizations.
“The breakthrough isn’t ‘Claude vs Google,’ it’s [about prototyping] fast enough to move a stalled org forward. The production path still has reviews and constraints, yet a working prototype collapses debate into something concrete. Also, Claude Code is genuinely incredible at what it does, so is Jaana. Pro move.”
The exchange highlights how AI coding agents are beginning to compress development timelines, shifting internal debates from abstract design discussions to concrete systems that teams can evaluate, refine and ship.
In October, reports emerged that Anthropic was targeting $20 to $26 billion in annual revenue run rate (ARR) for 2026, driven by its 300,000 enterprise customers. At the time, the firm’s code-generation tool, Claude Code, had already hit $1 billion in ARR.
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