It's like writing a novel in a week that no one wants to read. If in six months you can do it in an hour, there is still zero value.

I haven’t seen credible compiler engineers engage with it. Look at the repo: issues and pull requests look like spam.

Finally, if you read the description of the techniques used in the parallel agent harness: there are no novel ideas.

I mean the blog acknowledges this with things like: "This is a very early research prototype. I haven’t yet implemented any other method for communication between agents, nor do I enforce any process for managing high-level goals".

But this is 2026, and the company is on its way to a trillion dollar valuation. Maybe research some distributed systems first and then try to apply those in a way that is a unique fit for agents.

Couple of obvious ideas: use a CRDT, use some existing lightweight synchronization algorithm like Lamport's bakery. Do some initial TLA+ modeling. Anything really. Just show us something better than slop at the level of the harness and that of the code output.

One year old example of an impressive and useful agent harness: "TxGemma: Efficient and Agentic LLMs for Therapeutics" from https://deepmind.google/research/publications/153799/