Ries

I'm back from grinding
Still grinding though, but will be on here for AI and dev news

[Visual Studio Code @code]

⚡ @typescript 7 is here!

Built with a native Go implementation, it brings up to 10× faster builds while maintaining compatibility with your existing TypeScript projects.

Read more: https://t.co/PbkiA47Sda

[TypeScript @typescript]

📣 The moment is here. 📣

TypeScript 7 is officially released! 7️⃣

https://t.co/D7Mbq7vWpy

[Ries @coptran0401]

why the hell is internet so slow suddenly wth take 1 minute to see the first splash on x

[La prière🌟 @Lapriere_info]

・･･━━━━━━━━･･・

MV『 Ritus Inanis 』
Full：https://t.co/WZzMlPqkdY

・･･━━━━━━━━･･・

Lyrics：Feryquitous
Compose：satella
Arrangement：satella, Feryquitous

Vo：La prière
棗いつき/藍月なくる/nayuta

#らぷりえーる

[Diα - ディア @fused_dia]

新曲のMV投稿されました -`📢

「残声」という曲です。

作編曲：Feryquitous様
作詞：Diα

https://t.co/8Emrnq0YMO

┈┈┈┈┈┈

「──あたしに気付いて。」

[VNGD @VNGD_official]

SECOND PHASE、襲来。

衝撃、再臨―。
"VANGUARD 2"

Available at M3
– 2026.04.26(sun)

▼INFORMATION / XFD / WEB
– see replies.

[Shann³ @shannholmberg]

what is agent looping

for the last two years we prompted agents one task at a time. that is starting to change

instead of asking an agent to build the landing page and then driving every step yourself, you set up a loop that handles discovery, planning, the work, checking, and iterating until the goal is met

looping is a setup you build. almost any agent harness can run it, it just depends on how you wire it up

at its simplest, looping is one agent working on itself:

> researches
> drafts
> checks the draft against a goal
> fixes what is weak
> runs that cycle again until the work clears the requirements

you are not prompting each step anymore. the agent repeats the cycle for you

the bigger version is a fleet looping. you give an orchestrator agent a goal, it breaks the goal into pieces, hands each piece to a specialist agent, and those specialists hand smaller jobs to their own subagents

the whole tree keeps looping through discovery, planning, execution, and verification until the goal is met

one agent looping is like a person redoing their own draft. a fleet looping is a whole team running a project end-to-end

you create a goal, and the system runs the loop until it finishes within the reqs you set

open and closed looping:

OPEN LOOPING is exploratory. it still has conditions and a goal, but you give the agent or the fleet a wide space to move in. it can try different paths, discover things, build something you did not fully spec out

this is the exciting end, it is what Peter and others are doing, and tbh it is where I want to spend more time

the catch is cost, an open loop with real room to explore burns an insane amount of tokens. for the 90 percent of people without an unlimited budget it is not runnable yet, and pointed at projects with a loose standard it turns into a slop machine

CLOSED LOOPING is bounded. a human designs the end-to-end path first:

> clear goal
> defined steps
> an eval at each step
> a point where it stops or hands back to you (and feeds back performance data)

the agents still loop, but inside framework you built. it gets better every run because each pass feeds the next, and it runs on a normal budget because the path is tight.

for most marketing work, closed is the one that pays off today.

> the orchestrator owns the goal
> the specialists own the steps
> the subagents do the narrow work
> an eval gate make sure its not slop

[Tony Simons @tonysimons_]

⚕️ Just dropped a guide on how to set up a real grounded-research loop on @NousResearch Hermes Agent + @obsdmd + @NotebookLM.

Sources go in, grounded answers come out, every morning at 6:30am a @telegram briefing lands in my phone.

Bash, Python, two Hermes cron jobs.

Point your Hermes here:
🔗 https://t.co/vGNOSvS9bQ

It'll take care of the rest for you. 🤘

[Khairallah AL-Awady @eng_khairallah1]

Anthropic engineer:

"You're not supposed to prompt Claude. You're supposed to build a system that prompts itself."

this is one of the best workflows I've seen in a long time

in this video he breaks down exactly how most people are using Claude:

- the 14% you lose to CLAUDE.md before typing a word
- the plugins that 95% of users have never installed
- the caching setup that keeps it at 95% hit rate and almost free
- why starting every chat from zero is the slowest way to use Claude

if you've been using Claude for more than a month and never left the chat window, you've been using one project when you could be running a team of them

instead of another show tonight, watch this

make sure to bookmark it before it gets lost in your feed

full guide in the article below

[Nous Research @NousResearch]

Hermes Agent v0.14.0 - “The Foundation Release”

Changelog below

[Zecheng Zhang @zechengzh]

Introducing Mirage, a unified virtual filesystem for AI agents!

6 weeks. 1.1M+ lines of code. We rewrote bash from the ground up so cat, grep, head, and pipes work across heterogeneous services. S3, Google Drive, Slack, Gmail, GitHub, Linear, Notion, Postgres, MongoDB, SSH, and more, all mounted side-by-side as one filesystem.

Bash that AI agents already know works on every format! cat, grep, head, and wc parse .parquet, .csv, .json, .h5, even .wav! One pipe can stitch S3, Drive, GitHub, Slack, and Linear together, same Unix semantics throughout.

Workspaces are versioned too. Snapshot, clone, and roll back the whole thing with one API call. A two-layer cache turns repeated reads into local lookups, so agent loops stay fast and cheap.

Drop a Workspace into FastAPI, Express, or a browser app. Wire it into OpenAI Agents SDK, Vercel AI SDK, LangChain, Mastra, or Pi. Run it alongside Claude Code and Codex.

Site: https://t.co/zo1orc2wA9
GitHub: https://t.co/zeRAKri7I9

#AIAgents #OpenSource #AgenticAI #Strukto #Filesystem #VFS

[Guillermo Rauch @rauchg]

𝚗𝚙𝚡 𝚍𝚎𝚎𝚙𝚜𝚎𝚌

We're introducing an open-source agent orchestrator for deep security reviews.

We built it for internal use, and after running it against some major OSS projects, we gained conviction to share it with the world.

Coding agents can now find critical vulnerabilities in minutes that would take teams of people months (if they can spot them at all). Since 𝚍𝚎𝚎𝚙𝚜𝚎𝚌 is optimized to work with Vercel Sandbox, you can effectively harness the power of thousands of agents scrutinizing your codebase in parallel.

I encourage you to try this on your repositories. BTW: If you run an OSS project and want us to sponsor a run, my DMs are open.

[Maxwell Hammad @mvxvvll]

@npmjs @GHSecurityLab there is an active supply chain attack on [email protected] which pulls in a malicious package published today - [email protected] - someone took over a maintainer account for Axios

[Ries @coptran0401]

codex the goat, have less headache when using it than cc

[Ries @coptran0401]

real shit

[Rohit @rohit4verse]

https://t.co/H4KCn5WwNx

[Simplifying AI @simplifyinAI]

You can now give Claude Code a visual map of your entire codebase 🤯

Someone just open-sourced a tool that builds a local graph of your entire project so Claude instantly knows how every file is wired together.

- Runs 100% locally on your machine.
- Maps out your entire repository structure automatically.
- Gives Claude Code the exact context it needs to build without hallucinating.

100% open source.

[Ries @coptran0401]

@OpenAIDevs Seems like the change is not on the Codex app on windows yet

[鳥三@CG集製作中 @tori33]

元々はこの絵ミクさんの日用に用意してた絵ですが、そもそもラビットホールさんはミクさんじゃない事を思い出したので通常の金曜日にあげる絵の方に回しました。
今日は鉄棒ぬらぬら塗れたので満足です。またテカテカ塗りたいです。

[Nick Spisak @NickSpisak_]

https://t.co/br90QMVLjI