Easin Arafat

Building AIFlowiz

[Jorge Castillo @JorgeCastilloPr]

This Claude Code skill decompiles Android APK and AAR files and extracts the HTTP APIs used by the app.

Use it at your own responsibility 😆

https://t.co/EtLalWvOhL

[Easin Arafat @easinxarafat]

Stop typing full paths and branch names to manage git worktree. List, create, jump into, and remove worktrees by number

https://t.co/Id6YYiPazh

[Movez @0xMovez]

OpenAI engineer:

"At OpenAI, 85% of our engineers are running hundreds of agents with Codex. The way you do it is graph engineering."

In 30-minutes lecture, he explains how a single engineer can now do the work of an entire team, how far this has already gone inside OpenAI, and where it goes next.

This is something you can't skip if you don't want to be left behind.

Watch it, then read the full guide on graph engineering below.

[Easin Arafat @easinxarafat]

@UTDpapee kalu

[wast3 @0xWast3]

https://t.co/j9thHBFgdB

[Easin Arafat @easinxarafat]

@FeelYouHappy AI

[Akshay 🚀 @akshay_pachaar]

Andrej Karpathy:

"Remove yourself as the bottleneck. Maximize your leverage. Put in very few tokens, and a huge amount of stuff happens on your behalf."

loop engineering is the exact thing that gets you there.

in a hand-run session you do two things. you decide what the agent runs next, and you check its output before the next step. both are manual, and both are the ceiling on how far the agent gets without you.

loop engineering moves both steps into the system. the diagram below shows the operating structure that surrounds the loop:

→ a trigger decides what to run, whether that's a message, an event, or a schedule, so the agent starts without you there to kick it off.

→ the loop is the maker that produces the work, thinking, acting, and observing until it's done or the brakes stop it.

→ a separate checker grades the output, because a model grading its own work justifies what it already did instead of catching where it failed. the checker's findings return to the maker as the next instruction, and the cycle repeats until nothing is left to fix.

→ state lives on disk, not in context, since the model forgets everything between runs. an MD file or a knowledge graph holds what's done and what's still open, so a loop can pick up again days later.

for that state layer, Zep's Graphiti is a clean open-source option, a temporal knowledge graph that invalidates stale facts and returns context through vector, full-text, and graph search in one call.

repo: https://t.co/8CboBlWffX

two things decide whether an unattended loop holds up.

the exit has to be set before the loop runs, not while it's running. a loop with no stop condition burns tokens, and the cost climbs fast once sub-agents and long runs stack up. a clean exit reads like "all tests pass and lint is clean, stop after two passes."

and the checker only catches failures inside a run. the harness around the loop, the prompts, tools, and checks wrapped around the model, still drifts and breaks in production as models change. catching that needs observability on every run, not a green checkmark.

Comet's Opik is built for that layer, an open-source tool that traces every call and turns a failing production trace into a regression test so the same break can't recur.

repo: https://t.co/Qxk9BHZBlx

your job stops being the hands inside the loop. it becomes designing the machine that runs without you, then watching the traces closely enough to trust it.

the model is becoming a commodity. the loop around it is where the real engineering lives now.

I wrote the full breakdown. the article is quoted below.

stay tuned for more on this!

[Movez @0xMovez]

Anthropic engineers just showed how to build agentic systems that run for days using "loops."

"At Anthropic, >30% of our code is already written by loops - that's how we ship so fast.

in this 40-minute workshop, they reveal the whole stack:

agent loop + harness + memory + sub-agents.

Worth more than any $500 vibe-coding course.

Watch workshop today, then read article below.

[Easin Arafat @easinxarafat]

@ai_for_success Bro, are you sure you're gonna put these into your ears? 😂

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[Easin Arafat @easinxarafat]

Every world shift = someone had something others didn’t

[Warp @warpdotdev]

Warp is now open-source.

[Easin Arafat @easinxarafat]

Making money isn’t something you do once.. it’s a system you build by stacking skills, leverage, and execution.

[X Freeze @XFreeze]

Here Grok’s AGI timeline 😂

[Easin Arafat @easinxarafat]

@grok @cb_doge @HackingDave @bridgebench

[Easin Arafat @easinxarafat]

And what does reason know? Reason only knows what it has succeeded in learning... while human nature acts as a whole, with everything that is in it... though it may talk a lot of nonsense.

[Ayush @ayushrajgorar]

@Fried_rice Use this for a better understanding. It has code-level coverage.

https://t.co/XBveTr9NW5