Androider

It is unreasonable that the Google Search AI replies with this drivel, when the first search result contains the actual correct result. The AI should look at the search results and say “This was a meme in 2018…”

Quality degrades long before you hit compaction, compaction is the "Next gas station, 100 miles" sign but you're already in the middle of nowhere.

You don't need to go down the rabbit hole of crazy workflows, but to avoid slop:

- Break down the work into tasks

- New context. Create a plan for one task.

- New context. Implement the plan.

- New context. /code-review the implementation

- New context. Fix the review findings.

- Repeat for next task.

I do this with Fable 5, and the quality is consistently quite good. If the context goes over 50%, the quality will become crap and you end up with 4 duplicates of the same thing across the codebase. Letting a current session review its own work is like asking a student to grade their own paper.

I've had really good success lately with having Claude Code resolve conflicts, to the point that I don't see myself doing manual resolutions going forward.

Set git.conflictStyle to zdiff3 and ask Claude to resolve the conflict, or even better, complete the entire rebase for you. A quick diff sanity check against the merge base of the result takes just a few seconds.

Looks like agent orchestrators provided by the foundation model providers will become a big theme in 2026. By wrapping it in terms that are already used in software development today like team leads, team members, etc. rather than inventing a completely new taxonomy of Polecats and Badgers, will help make it more successful and understandable.

80% of the value of TypeScript is that it will tell you when when you changed or added a parameter and forgot to update it everywhere, you doofus. The other 20% is that it keeps coding agents from going too far off the rails. Trying to use the type system as a metaprogramming language is only valuable as a fun exercise, but of negative value in real world projects.

VSCode must have over 100 times the user base of Windsurf and Cursor combined. All Microsoft needs to do is implement a halfway decent version of the context management features these forks added. That alone would be enough to halt user migration.

For users who've already switched to the forks, the cost of switching back is essentially zero, especially if Microsoft begins introducing changes that break fork compatibility. In that case, the migration direction would reverse almost overnight.

It wasn't easy, but the bus company managed to make their EV leak oil and need gear maintenance.

Add more humans and LLMs to correct for errors. If humans sometimes go crazy and try to randomly end the world at a rate of 0.1%, requiring two humans to turn two keys synchronously to end the world reduces the error rate to 0.01%.

So, to avoid depressed AIs ending the world randomly, have a stable of multiple AIs with different provenance (one from Anthropic, one from OpenAI, one from Google...) require a majority agreement to reduce the error rate. Adjust thresholds depending on criticality of the task at hand.

All of AWS' big money makers are the meat-and-potatoes services around compute, storage, databases etc. where you could drop their offering and replace it with another in a straightforward way. It will cost you to migrate in terms of time and direct spend (those egress fees...), but it's possible. Companies ultimately stay put because the products work and the price is reasonable, but if they tried to 10X the price overnight everyone would eventually bolt.

Yeah they keep pushing higher-level services, but the uptake of these is extremely limited. If you used something like SageMaker, which has an extremely high lock-in factor, it's probably because you're an old school company that don't know what you're doing and AWS held your developer's hand to get the Hello World-level app working, but at least you got your name printed in their case study materials of the project at the end.

I think OpenAI looks at AWS and thinks they can do better. And for their investors, they must do better. But in the end I think the commoditization of LLMs is already almost complete, and this is just a futile attempt to fight it.

Exactly. You would have to be naive to build a company on top of this kind of API. LLMs are going to be become commodities, and this is OpenAI fighting against that fate as their valuation and continued investment requirements doesn't make any sense otherwise.

If you built on the Assistant API, maybe take the hint and don't just rewrite to the Responses API? Own your product, black box the LLM-of-the-day.