rakyll
We met quite a large number of customers in the last few months, and several teams inside Google, who are asking for a stack that runs on any cluster.
There are several reasons for a layer like this.
(a) Today, it's extremely hard to deliver large agentic applications to someone else's compute, and it kills adoption for products that need to run closer on customer data plane, e.g. large scale code scanning product.
(b) It's tedious to build systems that set up the environment, deal with networking policies, provide integrations for session storage, memory curation, skills retrieval and mounting, etc while all you want to do is to focus on building applications.
(c) People want a truly transparent stack for compliance/auditing, and all other non functional capabilities most people don't usually think about until they have to.
AX is a layer that is closer to job orchestration, Agent Substrate. It's NOT an agentic framework. We use Antigravity for a few generative features but are abstracting away some of these components so anyone can bring their own. AX is trying to solve some tedious things everyone has to deal with. Layering execution with the underlying stateful worker, wiring up the network correctly, providing sub "task" identity, provisioning the right environment, proving stateful branching, auto discovery.
We want to keep Agent Substrate free of generative features and still need a layer above for some integrations that require agentic concepts and identity.
Google compute services are under GCP and I work on Kubernetes. So the comparison with Gemini CLI is not relevant here.
Code instrumented with OpenCensus can export to any backend by changing the registered backend.
The future of latency profiling in Go
Custom pprof profiles
HTTP/2 Server Push
Style guideline for Go packages
Debugging code generation in Go
Anyways, the point is I don't understand the point of err != nil bashing here, given there are two programs in the article that only contain one error check each.
EPFL or ETH are definitely not something I'd consider as just "Swiss education system". These schools are what Stanford or Berkeley are in their region, and are highly international.
Apply transformations to Go code with eg
Go tooling essentials
Irrelevant but flush your biases and assumptions down to the toilet. Java can statically compile to microcontroller architectures with minimal runtime footprint. Stop blaming the languages, blame the runtime implementations.