@michael_chomsky @dillon_mulroy Cloudflare is such a buy it’s insane.
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David Parks
2.4K posts
David Parks
@dparksdev
AI @upwork, founding product engineer @objective_inc (acq), @tendrill_ai, @hackreels
Milwaukee, WI Katılım Mayıs 2020
904 Takip Edilen1.4K Takipçiler
The more I build with agents the clearer it is that a very significant percentage of the worlds agents will run on Cloudflare.
Jordan Coeyman@acoyfellow
I built some Flue agents on Cloudflare to see what the pattern feels like.. TLDR: feels nice flue.coey.dev
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@ivanburazin AWS is too clunky for this.
Agents need a lean stack that they can spin up and kill in seconds.
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A cloud built specifically for agents is coming.
It will have:
- web search
- sandboxes
- databases
- storage
+ all the primitives (purpose-built for agent access patterns). Hopefully, it will be the answer to the unpredictable demand spikes brought on by agents.
It'll look more like Stripe than AWS (a consumption API, not a general-purpose cloud)
OpenAI wants to build it. Vercel wants to build it. We want to build it. It's the next addition to the stack and one of the biggest prizes in infra rn.
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The answer was @daytonaio volumes
👇
daytona.io/docs/en/volume…
David Parks@dparksdev
You need: - Shared org-wide knowledge base - Per-user knowledge base and context store which also has the org wide context How would you architect this? A read-only file system mounted for org context, and then a read write sandbox per user?
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You need:
- Shared org-wide knowledge base
- Per-user knowledge base and context store which also has the org wide context
How would you architect this? A read-only file system mounted for org context, and then a read write sandbox per user?
English
@subproject_22 @vercel @rauchg It’s @paper shaders. Just gotta generate a deterministic seed for the user for color
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biased but i highly recommend using coss.com/ui for your next side project
such a joy to work with + its using @base_ui under the hood
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google alerts on steroids, for your agent
the web thinks for you in the background to give your agents the context they need when the world changes
Parallel Web Systems@p0
Today, we’re announcing the general availability of the Parallel Monitor API. The web is shifting from pull to push, and agents are coming online. This release marks a major step towards a more proactive model, where the web pushes updates directly to your background agent. Monitor now includes: - Lite and Base processors - Event streams and snapshots - Rich attribution (Basis) on every event - Advanced domain filtering - Interactions for persistent follow-on research
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design slop everywhere.
now have to anti-prompt on:
- left border accent
- italicized serif 𝒉𝒊𝒈𝒍𝒊𝒈𝒉𝒕 words
- indigo/blurple
- glowey gradients
- certain icon packs
- blocky grids
sos
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Too much Charlie Kelly in the training data
OpenAI@OpenAI
We’re talking about Goblins. openai.com/index/where-th…
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The best web search for agents is now free.
Upgrade to Parallel's web search tools in any MCP-supported tool or agent, for free, in under 60 seconds.
No account. No API keys. Zero cost.
docs.parallel.ai/integrations/m…
GIF
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@NotionHQ I’ll film a video of me jumping into Lake Michigan (42 degrees) with a notion logo drawn on my chest
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Me in 2025: My agent needs custom tools, orchestration, handoff, tool use approval, sub agents, code execution, MCPs
Me in 2026: My agent needs bash and a sandbox.
Vercel Developers@vercel_dev
Vercel Sandboxes can now automatically save their filesystem state when stopped and restore it when resumed. Automated persistence enable your sandboxes to continue where agents left off, without manually snapshotting. Available in beta ↓ vercel.com/changelog/verc…
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for everyone trying to build ai products or whatever there's literally just one product to build. any successful llm app is literally just:
llm in a for loop with tools and prompts
products like these scale with intelligence, and will continue improving exponentially, so maybe don't try to innovate over this (many such cases)
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