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Curious as a potential video topic - what should developers be looking out for in the AI space in 2026?

What do you mean?

Are there particular products or subjects where you think there’s going to be a lot of progress?

Ah I see. Based on mostly vibes… - I think we’ll see 10m token context windows and substantially better long context performance so context engineering will be less important. - I think we’ll see the first usable continuous learning models towards the end of 2026, no idea what to do about that.

- I really want local models to become more of a thing but I think the RAM shortage is going to make it very hard to justify the cost of running them. They’ll continue to get better but you’ll need to use them through some inference provider for the foreseeable.

- GitHub will probably release their “agent HQ” feature that they keep talking about and try to rebuild the GitHub experience around it, with other parts of the product folding into it or languishing. There will be lots of people mad about it.

- I really want to see more companies spring up focusing specifically on agentic code review. I think current tooling is woefully insufficient. I’m thinking there’s got to be loads of great low hanging fruit in augmenting code review tools with LSP data.

These are awesome! Thanks for sharing. What do you focus on to stay up to date?