Jun 27 • General discussion
It's 4:30 AM Saturday and I'm down the Context Engineering rabbit hole. Send help (or coffee) ☕
Context Engineering is having a moment. Every AI executive is talking about it.
So obviously I had to build something to see what the fuss is about.
The Meta Experiment:
Built an AI system that teaches developers how to use AI... for their specific
use case. It generates personalized implementation tutorials based on what
you're trying to build.
Here's What's Wild:
Traditional approach: "Here's how to use AI for coding"
Context Engineering approach: "Here's how to use AI for YOUR specific SaaS with
YOUR tech stack solving YOUR unique challenges"
Example that broke my brain:
Asked for: "Real-time collaborative AI code editor with version control"
Got back: Complete architecture including:
- WebSocket implementation for real-time sync
- Conflict resolution algorithms
- AI integration points for code suggestions
- Even performance optimization strategies
The Bigger Picture:
We're moving from prompt engineering to context engineering. It's not about
crafting the perfect prompt anymore - it's about giving AI deep understanding
of your project context.
Deep dive into the tech:
Community Question: How are you currently providing context to AI in your
workflows? What's working? What's frustrating?
And seriously, anyone else coding at 4:30 AM on weekends? There's something
magical about early morning deep work when the world is quiet.
P.S. My coffee machine is judging me. It's making concerning noises. Worth it
though - this Context Engineering stuff is addictive.
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1 comment
It's 4:30 AM Saturday and I'm down the Context Engineering rabbit hole. Send help (or coffee) ☕
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