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Show HN: A working reference implementation of context engineering

https://github.com/outcomeops/context-engineering
22•linsys•2d ago
I've been presenting at local meetups about Context Engineering, RAG, Skills, etc.. I even have a vbrownbag coming up on LinkedIn about this topic so I figured I would make a basic example that uses bedrock so I can use it in my talks or vbrownbags. Hopefully it's useful.

Comments

slashdave•1h ago
> the information an AI system needs to produce accurate ... outputs

I would have stuck a qualifier in there

r4ge•1h ago
I feel like AI is going to be doing all the fun stuff and I will just left organizing the data and docs it needs to generate code.
ayuhito•48m ago
Welcome to becoming a project manager.
mdswanson•13m ago
https://x.com/anyware/status/2022116613559091241?s=20
tmpz22•1h ago
Putting engineering after a term doesnt make it engineering.
slashdave•1h ago
Probably just using the convention started by the term "prompt engineering", which is forgivable.
sroussey•46m ago
not sure i forgive "prompt engineering"
jryio•17m ago
Software engineering is certainly not engineering. Even at the highest levels. Real engineering have infinitely more complex interactions in the physical world than symbolic institutions for machines.
rao-v•17m ago
I don’t really think this reflects the current era of challenges?

The “enforcement layer” is the hardest and most important part, and is barely addressed.

- is the answer structurally / syntactically valid?

- is it appropriately grounded and evidenced?

- is it accurate? In what ways does it fall short?

Each of these should be triggering an agent to rework and resubmit etc. or failing that a disclosure to the user about how the answer falls short and should be reviewed / remediated.

This feels like it’s from the era of trying to oneshot a good enough answer.

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Show HN: A working reference implementation of context engineering

https://github.com/outcomeops/context-engineering
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