Is your agent wasting tokens on files

that don't matter? To get highquality

code, you need to feed the model

highquality signals. Let's talk about

context engineering. LLMs don't have

infinite attention. Every token is

budgeted. Blow your context window

budget and your agent gets slow, vague,

and starts messing up. A context window

is just the agent's working memory. Too

small and it forgets what matters. too

big and messy and it can't focus on the

right things. So, your job is to curate

your agents context. Keep what's

relevant to this step and compact or

dump the rest. Summaries instead of full

logs, key decisions instead of every

chat line. Delete stale stuff. Most

contacts should expire. One way to do

this is to adopt a multi- aent

architecture. Spin up specialized

instances. [music] one for research, one

for code, one for QA. Let them take

notes and make written reports for each

other [music] instead of piling

everything into one giant prompt. Don't

forget to clear context [music] or start

with fresh agents when changing tasks.

This works really well with spec driven

development. A clean spec and clean

context can help you achieve major

improvements to agent code [music]

quality. If you want agents that stay

accurate, efficient, and on track, learn

to manage and engineer their context, be

deliberate with what you load, and you

unlock agents that reason cleanly

instead of drifting into chaos.