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Context engineering

Control what Claude sees, not just what you ask.

Knowledge cards
Concept
Curate the Context — Don't Just Dump It
Context engineering: deliberately choosing what Claude sees — the relevant files, facts, and constraints — rather than pasting everything and hoping the model finds the signal.
L4 · Multi-AI systems
Workflow
Give Claude a Memory File for Long Projects
A pattern for work that spans many sessions: keep a single, hand-curated 'memory' document — key decisions, constraints, current state, open questions — and paste it (or attach it) at the start of each new chat. It's the durable spine the context window can't provide on its own.
L4 · Multi-AI systems
Best practice
Put the Most Important Context Where Claude Looks
A placement habit for long prompts: put the material that most determines the answer at the start or the very end of the context, and let bulk reference material sit in the middle. Order is not cosmetic — where a fact sits changes how strongly it lands.
L4 · Multi-AI systems
Best practice
Strip the Context Down to What Changes the Answer
A discipline of removing context that doesn't change the answer before you send the prompt. The test for every file, paragraph, or example is simple: if I delete this, would a correct answer change? If not, it's noise — cut it.
L4 · Multi-AI systems
Context engineering

Curate what Claude sees

Context engineering is the discipline of controlling what goes into Claude's context — not just what you ask, but what it can see while it answers. A large context window tempts people to dump everything in, but the advanced move is the opposite: give Claude the slice that matters — the relevant files, the key constraints, the pertinent history — and leave the rest out. Done well, this is the single biggest lever on output quality, more than any phrasing trick. The window is a tool to fill deliberately, not a bucket to fill fully.

Signal, not volume

More context is not better context. Irrelevant material dilutes the signal and can actively degrade the answer, because Claude has to work out what matters before it can use it. The skill is selection: what does this task actually require, and what is just noise? Structure the context so the important parts are prominent, drop what does not bear on the question, and keep long conversations focused rather than letting them accumulate cruft. Curate deliberately and even a huge window stays sharp.

Frequently asked
What is context engineering?

The practice of deliberately curating what goes into Claude's context — the right files, constraints, and history — so the relevant signal is not diluted by noise. It is the top lever on output quality.

Does a bigger context window mean I should include more?

No. Irrelevant material dilutes the signal and can worsen the answer. The goal is the right context, not the most, even with a large window.

How do I keep long conversations sharp with Claude?

Keep them focused — include what the task needs, drop accumulated cruft, and structure the context so the important parts stand out. Deliberate curation keeps even a huge window effective.