No one has this figured out. Much respect but this advice is if you have unlimited ammo. Cheat code. Haves and have nots. The real winners will be the ones that discover efficient loops, tactical.
So far it seems agents prefers simpler setups.
RAG was the hot thing for a minute, until we realized grep/sed was good enough. Local CLIs seem to perform much better than MCPs.
I don't think serverless is going to work well either. I doubt the majority of agentic loads will be running on Cloudflare, Lambda, or Vercel.
SITUATION DETECTED: OpenAI has launched a new memory system for ChatGPT called Dreaming, which automatically synthesizes and updates user context in the background across conversations without requiring explicit save requests.
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We just published internal data on how much of Claude's development is already being done by Claude:
- Over 80% of all code merged into our codebase is now written by Claude
- It's been months since many researchers at Anthropic hand-wrote code
- The typical Anthropic engineer
We’ve been researching new ways for ChatGPT memory to carry context across conversations and keep it useful over time.
Today, that work is rolling out as a more capable memory system in ChatGPT. openai.com/index/chatgpt-…
@tadasayy Ehhh...I dunno. Who says anything is predictable or certain here? It's like the industrial revolution is happening, the steam engine was invented, a lot changed in a short amount of time, and then people said "surely this pace of change will slow down"...and it didn't.
@sqs I agree with this. The only thing I say would change that is on non coding tasks in workflows. But that still requires layers and routing depending on need of the task.
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