Adding to $INTC here for Christmas. Donāt followš
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Embedded Nature retweeted
Anyone else unable to load the @tradingview app on macOS Tahoe?
Just spent some time building a terminal-based trading dashboard using @textualizeio and I'm impressed with how powerful this library is for creating rich TUIs in Python.
Soo many ways to leverage this and apply in other CLI apps I have.
Supervisor agent is live, coordinating our three trading agents.
Testing it out now, then moving to LangGraph for full orchestration.
Things are humming šÆ
Why am I now leaning about @tursodatabase. Such a straightforward service
Real engineers donāt sleep; they just oscillate faster. @Tesla
A nice light read on deep
Agents by @_philschmid
philschmid.de/agents-2.0-deeā¦
Is this the first time we donāt have a black iPhone Pro? @dbrand be ready!
Hi @googlephotos, can you explain why you need access to ALL photos and not selected for your app to work?
Most teams think building powerful AI agents means stacking frameworks and wiring up every tool under the sun.
After weeks of debugging, here's what actually moved the needle:
It wasn't more complexity it was stripping things down to the patterns that actually work in production.
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If you're building agentic systems, here are the keys:
1. Start simpleāprove value before adding complexity.
2. Make every step transparent.
3. Build in human oversight from day one.
4. Test, measure, and iterate relentlessly.
(8/9)
Ready to build? Get my MCP starter kitāfree: agentic.embeddednature.com/sā¦
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