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262k tokens. 5 novels of context. But here is what nobody is asking...
DeepSeek recently dropped a coding assistant with a 262k token context window. Impressive? Sure. Useful? That depends. More context does not mean better code. It means more room for the AI to get lost in irrelevant details. The real unlock is not bigger windows. It’s better targeting. Knowing what 5% of the codebase actually matters for the task at hand.
We are solving the wrong problem.
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Most agent bugs are invisible: the agent loops, drops context or calls a tool it shouldn't, and all you see is a wrong answer. I wrote an agent harness from scratch in Python — loop control, context compaction, permissioned tools, sub-agents — and Harness Studio, a web app that replays every run: one lane per agent, each event explained, and the exact context each agent held when it stopped.
I'm building midcode.
a tool that let's you turn code websites into no-code
super useful for AI-led sites where we want to edit things visually
This is the kind of AI workflow that gets me excited as an independent developer.
Faster ideation, faster prototyping, and more room to focus on turning ideas into real products. 🚀
What does sketch to shippable actually look like in real time? 🎥
Honestly, I went in doubting it, and came out convinced, for early concepting at least. 🤔 I recorded the whole process, doodle to final.
Calling all desginers to run it on your own idea and drop the result below....