Ibrahima Ndiaye

Android Magician | Full stack developer | Speaker | Smart home enthusiast

[Ibrahima Ndiaye @its_dabrahim]

Thank you @gdg_dakar for having me over. It was a pleasure to talk about Clean Architecture and @Android with a room filled with passionate programmers !

[Ibrahima Ndiaye @its_dabrahim]

@Na2sim__ Si tu décides de prendre un NAS, il ne faudra pas oublier de gérer les backups offsite sinon le jour où il y’a un petit incident, bye bye les données 😅

[Richard Wu @0xrwu]

SpaceXAICursor master plan:

Step 1: offer free git hosting = loss leader
Step 2: upsell intelligence in new software factory
Step 3: acquire unique data on the entire software flow (not just commits)
Step 4: use data to train models to replace all of SaaS (macrohard vision)

[WinRAR @WinRAR_RARLAB]

Yay! We finally got paid! 🤑🤑🤑😎😍🥳🤣

[Nous Research @NousResearch]

The next evolution of Hermes Agent is here!

Introducing Hermes Desktop: everything you love about Hermes, now native on your machine.

First demoed in Jensen's GTC keynote, it's now in public preview.

[Taylor Otwell @taylorotwell]

The gap between having an idea and putting it in front of real users keeps getting smaller.

If there's a side project you've been sitting on, build it.

If you've never tried Laravel and want to give it a shot, we made a prompt for you to paste into your agent. It tells the agent how to get started with Laravel, and even how to install PHP if necessary: https://t.co/VvqEH7MOYa

[Jerry Liu @jerryjliu0]

We've created the world's fastest PDF parser ⚡️

And it's more accurate than any other open-source, model-free PDF parser out there (pymupdf, pypdf, markitdown, pdftotext, opendataloader, pymupdf4llm)

Introducing LiteParse v2 - we rewrote the entire library into Rust and adapted it as native packages for Python and Node.

It supports 50+ different document types, can be triggered directly or installable directly within your favorite AI agent.

Blog: https://t.co/ckb0G73ESs

Repo: https://t.co/JNER0mVcB8

[Mario Zechner @badlogicgames]

introducing pipi, the shitty robot.

brain lives on my laptop, sensors/UI live on the mounted phone. time to completion: 24h (minus sleep, knight festival, lunch, dinner, and play)

built with https://t.co/oUoqqL9hAp

[Viv @Vtrivedy10]

https://t.co/Lb2gtM9SNs

[Alex Ker 🔭 @thealexker]

https://t.co/bH3vLdUiwW

[Daniel San @dani_avila7]

One confusing thing when using Skills that call subagents, the subagent doesn't show up in the Claude Code interface

Everything works fine, but you can't tell if it's actually the subagent you added in the skill frontmatter or just a built-in agent doing the work

Would it be possible to surface this in the TUI?
CC @lydiahallie

[Arena.ai @arena]

GLM-5.1 by @Zai_org is now #3 in Code Arena - surpassing Gemini 3.1 and GPT-5.4, and now on par with Claude Sonnet 4.6.

The first frontier level open model to break into the top 3. It’s a major +90 point jump over GLM-5, and +100 over Kimi K2.5 Thinking.

Huge congrats to @Zai_org on pushing open model progress forward 🚀

[Sandhya @sandhya]

https://t.co/uAxtFPV5mC

[Muratcan Koylan @koylanai]

https://t.co/7kZ0k7nbxI

[Lance Martin @RLanceMartin]

i just published a short article on building applications w/ Claude. captures a few lessons from my own work and many discussions with others at Anthropic.
https://t.co/VYnSSGwDet

[Lance Martin @RLanceMartin]

https://t.co/ic6S68DVPd

[Ayaan 🐧 @twtayaan]

🚨 S3 is no longer just Object Storage.

Yesterday (April 7, 2026), AWS officially launched Amazon S3 Files.

This is the biggest update to S3 in 20 years.

It can:
→ Mount S3 buckets as native file systems
→ Provide sub-millisecond file access
→ Handle POSIX permissions (UID/GID) natively
→ Connect to Lambda, EC2, and EKS directly
→ Eliminate the need for s3fs or data staging

Your AI agents can read/write to S3 like a local disk, while your data team access the same objects via API.

DevOps just got a massive upgrade.

Source: https://t.co/gwGIhDlInU

[DAIR.AI @dair_ai]

Agent skills look great in demos.

Hand them a curated toolbox, and they shine.

But what happens when the agent has to find the right skill from a large, unfiltered collection on its own?

New research benchmarks LLM skill usage in realistic settings and finds that performance gains degrade consistently as conditions become more realistic, with pass rates approaching no-skill baselines.

The fix is to introduce query-specific skill refinement, which substantially recovers lost performance. On Terminal-Bench 2.0, this approach improved Claude Opus 4.6's pass rate from 57.7% to 65.5%.

As skill and tool ecosystems grow, agents won't have curated toolboxes handed to them.

They'll face noisy, overlapping, and irrelevant options.

Paper: https://t.co/Dm7JxredRI

Learn to build effective AI agents in our academy: https://t.co/LRnpZN7L4c

[superwhisper @superwhisper]

Superwhisper's next update might be too powerful to release publicly.

The new voice model is so fast at transcription it started finishing sentences users hadn't thought of yet...

We even put it in a sandbox and it dictated its way out.

It also identified a flaw in the English language that had gone unnoticed for 600 years. Linguists have been informed.

Out of an abundance of caution, we are withholding the update until further notice.

Sincerely,
The Superwhisper Team

[Z.ai @Zai_org]

Introducing GLM-5.1: The Next Level of Open Source

- Top-Tier Performance: #1 in open source and #3 globally across SWE-Bench Pro, Terminal-Bench, and NL2Repo.
- Built for Long-Horizon Tasks: Runs autonomously for 8 hours, refining strategies through thousands of iterations.

Blog: https://t.co/hmyDe4Nel3
Weights: https://t.co/CuUjXcPKJD
API: https://t.co/fz6reja4fb
Coding Plan: https://t.co/Nk8Y98HNhU

Coming to https://t.co/WCqWT0qCQb in the next few days.