rasha🪭 (@rasha_hantash) 's Twitter Profile
rasha🪭

@rasha_hantash

founding engineer @zingageai. humanitarian / ex-founder. prev president of LUG @ VCU

ID: 1222314809481400320

linkhttps://rasha.me calendar_today29-01-2020 00:25:56

317 Tweet

280 Takipçi

989 Takip Edilen

Shobhit Shrivastava (@shri_shobhit) 's Twitter Profile Photo

This is a great guide for reading anything complex. Also, nowadays, I start all reading by sending the document to Gemini for a summary first. I then read the summary, ask a few exploratory questions, and finally read the paper. Saves me a ton of time and effort!

derek guy (@dieworkwear) 's Twitter Profile Photo

it's crazy some of the homes you can get if you move out of cities. this 4 bed, 2 bath, 3.5k square foot home with a parlor, study, and dining room with original tiger oak and parquet floors is $635k. also minutes from amtrack 119 Academy Street, Poughkeepsie, NY 12601

it's crazy some of the homes you can get if you move out of cities. this 4 bed, 2 bath, 3.5k square foot home with a parlor, study, and dining room with original tiger oak and parquet floors is $635k. also minutes from amtrack

119 Academy Street, Poughkeepsie, NY 12601
Proton (@protonprivacy) 's Twitter Profile Photo

To help alleviate the humanitarian disaster in Gaza, Proton has donated $100,000 to the Palestinian Red Crescent Society and other aid organizations working on the ground.

Pontus Abrahamsson — oss/acc (@pontusab) 's Twitter Profile Photo

This is how I structure our multi-agent AI system: • 10 agents (triage + 9 specialists) • 43 tools (grouped by domain) • 12 artifacts (visual canvases) Each agent gets only the tools it needs. Clean and maintainable.

This is how I structure our multi-agent AI system:

• 10 agents (triage + 9 specialists)
• 43 tools (grouped by domain)
• 12 artifacts (visual canvases)

Each agent gets only the tools it needs. Clean and maintainable.
Render (@render) 's Twitter Profile Photo

Debugging infra at scale is rarely about one big “aha” moment. In our latest engineering blog post, Brian Stack (github.com/imbstack/) recounts his journey through the "Kubernetes hypercube of bad vibes" and how one small flag change led to a significant impact.

Cloudflare (@cloudflare) 's Twitter Profile Photo

Learn how a common pattern of using Go's HTTP/2 client can lead to unintended errors and the solution to avoiding them. cfl.re/4qzqfhd

Kaivalya Apte - The Geek Narrator (@thegeeknarrator) 's Twitter Profile Photo

This is one nicely written blog about a major re-engineering that was done to improve the performance (and cost) of “needle-in-the-haystack” queries. It goes through the entire journey, timeline and some PR details which makes it very interesting. Give it a read here:

This is one nicely written blog about a major re-engineering that was done to improve the performance (and cost) of “needle-in-the-haystack” queries.

It goes through the entire journey, timeline and some PR details which makes it very interesting.

Give it a read here:
rasha🪭 (@rasha_hantash) 's Twitter Profile Photo

“Rasha when I think of you I think of a black cat, Monica Bellucci, and Steve Jobs’ absolute distaste for building products that have no spirit, no taste, and above all no humanity in them.”

David K 🎹 (@davidkpiano) 's Twitter Profile Photo

Correction: workflows are *not* DAGs! The cycles can be implicit (e.g. retry policies or compensation logic) or they can be long-running. Workflows are state machines at a higher level of abstraction.

Correction: workflows are *not* DAGs!

The cycles can be implicit (e.g. retry policies or compensation logic) or they can be long-running.

Workflows are state machines at a higher level of abstraction.