What launched and what it changes
New models, frameworks and developer tools, judged on what they actually make possible.
Trends • AI Tooling • Industry Domains
KubeKite tracks what is changing across software and computing, packages the tooling that makes engineers faster, and follows the industries AI is reshaping.
All of it free: a weekly read on the landscape, open-source repos you can clone today, and notes on where the work is heading next.
Trends
A weekly read on software and computing: what shipped, what broke, what teams are adopting and what is quietly being abandoned. Signal and context, not press releases.
New models, frameworks and developer tools, judged on what they actually make possible.
Agents, code review, testing and the workflows teams are rebuilding around AI.
Compute, inference and the operational costs behind everything running in production.
Funding, releases and end-of-life notices, read for what they mean for the work ahead.
Published weekly on LinkedIn, with the highlights collected in KubeKite Weekly.
Follow on LinkedInRepos
Open-source repos for working smartly in the AI era — the setups, hooks and templates that turn AI assistants into something genuinely useful on real codebases. Free to clone, read and adapt.
Hooks that run checks, formatting and guardrails automatically instead of relying on memory.
Reusable skills and agent definitions for reviews, migrations and repeatable engineering work.
Markdown context, project memory and conventions that make AI assistants useful on real codebases.
Small reference architectures and templates that show a working setup end to end.
workflow-builder — a workflow automation platform. More repos land here as they are published.
Browse the GitHub orgIndustries
AI is not landing evenly. These are the domains growing fastest around it — what is being built in each, what the hard problems are, and what an engineer moving into one should understand.
The most regulated place AI is being deployed, and the one with the least tolerance for a wrong answer.
Where model output turns into money moved, and every call has to survive an audit.
A field built entirely on documents, now the most natural fit for language models — and the most exposed.
Physical AI, where latency, safety and the gap between simulation and reality decide everything.
Grids, materials and climate models — plus the growing question of what AI itself consumes.
Satellite and sensor data at a scale only machines can read, under unusually hard constraints.
About
KubeKite is a founder-led engineering brand for the AI era: tracking how software is changing, building open-source tooling that makes engineers faster, and following the industries AI is reshaping fastest.
The work is published in the open — weekly on LinkedIn, in repos on GitHub, and in longer pieces on Medium. It is free, and it stays free.
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KubeKite is focused on publishing in the open. Reach out about the writing, the repos, or a trend worth covering.
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