Topic
Context engineering for teams
Getting the right context in front of every model, done once for the whole team instead of ad hoc in every prompt.
10 posts
Bigger context windows won't fix team knowledge
Every model ships a bigger context window, but team knowledge is not a capacity problem. Here is why more tokens won't fix what shared context solves.
Semantic, episodic, procedural: the types of AI memory
AI memory comes in three kinds borrowed from cognitive science: semantic, episodic, and procedural. Here is what each one is and why teams need all three.
Just-in-time context: give your AI the right slice, not everything
Stuffing the whole window hurts answers. Just-in-time context delivers the right slice at the right moment. Here is how to do it across your team's tools.
Prompt engineering is not enough anymore
The perfect prompt era is ending. Reliable AI comes from architecture, not phrasing. Why context engineering is the skill that actually moves output quality.
Context engineering vs prompt engineering
Prompt engineering tunes one question. Context engineering builds the system the model answers from. Here is the difference, and why teams need the second one.
What is context rot, and how to avoid it
Context rot is when an AI's answers get worse as its context window fills with stale or irrelevant information. Here is why it happens and how to keep context clean.
What is context engineering for teams?
Context engineering is the discipline of getting the right information in front of a model. For teams it means doing it once, shared, so every tool answers well.
Why does AI need context to be useful?
AI needs context because a model only knows what is in front of it. Without your company, project, and decisions, it guesses. Here is why context wins.
What is RAG? Retrieval-augmented generation, explained simply
RAG is when an AI looks something up first, then answers using what it found. Here is what retrieval-augmented generation means, how it works, and its limits.
What is a context window? A plain-English guide
A context window is how much text an AI can hold in mind at once: your prompt plus its reply. Here is what it is, why it matters, and where it breaks.
Get your team's AI tools on the same page
BaseThread is the shared context-graph that Claude Code, Cursor, and every AI tool your team uses can read, so no one re-explains the same context twice.
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