Doesn't seem to agree with the data on https://layoffs.fyi/

I'm using mcp-agent and have tried the orchestrator workflow pattern[0]. For deep research I'm having mixed results. As far as I can tell, it's not using prompt caching[1] with Anthropic models, nor the gpt-5 responses API[2], which is preferable to the completions API. The many MCP tools from a handful of servers eat up a lot of context. It doesn't report progress, so it'll just spin for minutes at a time without meaningful indication. Mostly it has been high cost and high latency without great grounding in source facts. I like the interface overall, but some of the patterns and examples were convoluted. I'm aware that mcp-agent is being worked on, and I look forward to improvements.

[0]: https://docs.mcp-agent.com/workflows/orchestrator

[1]: https://docs.anthropic.com/en/docs/build-with-claude/prompt-...

[2]: https://platform.openai.com/docs/guides/migrate-to-responses

I made a musical game of life not long ago if you want something to play with https://matthewbilyeu.com/tone-of-life

When I was a kid, my dad and I were watching a cooking show together. I asked him "what do they do with all the food they make", and then, as if on cue, the host said, "In case you're wondering, the staff eat all the food we make here." My dad and I looked at each other with a silent look of "whoa".

From the title I expected this would be like talk radio (like NotebookLM style) discussion of random wiki pages.

Thanks for sharing. I’m a “destination” programmer most of the time, and I’ve welcomed LLMs into my work. I actually wrote about this from my perspective just the other day: https://matthewbilyeu.com/blog/2025-06-14/vibecoding-s-allur...

So soon there will be programs to generate papers keystroke by keystroke to mimic human drafting. It’s an arms race

I think we’ll see a lot more software. Lots of non tech people will increasingly have the ability to create custom software tools and prototypes. They’ll share and remix these. Some of them will be fully productized, at which point professional software engineers will be called in to help untangle the LLM spaghetti and create proper applications. So I think there will be more software work in consultancy.

I think we’ll see advancements in robotics and more hires there.

And I think there will be more jobs around the LLM ecosystem — progress on foundational models, inference optimizations, on prem migrations, networks of agents, AI more deeply integrated with existing sw.

Overall I think there will be more jobs in observability, security, and infrastructure.

I agree there will be fewer junior positions. I’ve written about some of these ideas before including a deskilling for new practitioners https://matthewbilyeu.com/blog/2025-03-08/ai