Nivesh Dandyan

CS @HKUniversity
AI security and computer use agents researcher @hkudatascience
Growth @happycapyai

[Nivesh Dandyan @ND6598]

We built and launched this 3 months ago at @happycapyai.

Same cloud computer - persistent sandbox, browser, Telegram, email, autonomous agents, custom skills.

But we went further.

Your agent connects to your real Mac. Sets up any GitHub repo locally. Builds in Xcode. Tests in iOS Simulator. Runs Final Cut, Figma, Photoshop - any Mac app. any workflow.

Cloud computer + your actual machine.

comment "happycapy" and I'll DM you free credits

[Bud @budapp]

Introducing Bud.

The first AI Human Emulator.

Bud has a full computer with storage, compute, and memory to build and code, sms and telegram to communicate, a full browser to use, can create/store/edit files, connect and use your tools, learn custom skills, work fully autonomously, and complete any task end to end just like a human.

Text the number below or try free at bud [dot] app.

Comment for 100k free credits.

[Nivesh Dandyan @ND6598]

I have been using loops since long ago.

take a look at one of my side project 4 months ago

https://t.co/nRefvHKnDm

[Nivesh Dandyan @ND6598]

bro i opened X after weeks away and half my feed is "loop engineering"

it's a for loop. we've had those since before some of you were born.

wild that it takes a anthropic tech guy interview to remind people loops exist

[Nivesh Dandyan @ND6598]

2. Self-Improving Agent Architect

A Claude Code skill that orchestrates agent swarms and recursively improves itself (similar to genetic evolution)

https://t.co/tNdAvZb7Dr

[Nivesh Dandyan @ND6598]

the first time I used Claude Code was back in late jan 2026 inside @happycapyai .

after using it for around 4-5 days itself, I had started using self improving loops in all of my projects or workflows.

this was so obvious.

some of those projects were :

[Nivesh Dandyan @ND6598]

1. autonomous GitHub repo pr contributor:

A continuous, self learning 8 agents loop system that autonomously contributes to open source projects 24/7.

results :
ran it for 5 hours continuous

made pr in more than 75 repo's

28 pr got merged

some PR were in repo's like :
a. google/go-github @Google
b. nasa/bingo @NASA

https://t.co/wrAqRvaURf

[Happycapy @happycapyai]

Claude @claudeai Fable 5 is now live on Happycapy!

The first Mythos-class Claude model now fits directly into the workflows you build, run, and automate on Happycapy.

Large context window. Adaptive thinking. State-of-the-art performance across software engineering, vision, and scientific research.

We tested it inside Happycapy, and the results were genuinely surprising ⬇️

[Nivesh Dandyan @ND6598]

made with @happycapyai

https://t.co/S5ZW0mLViA

[Nivesh Dandyan @ND6598]

me: what's the best open source LaTeX skill for Claude Code

gemini/ChatGPT: your own repo

10K+ installs and counting :D

[Nivesh Dandyan @ND6598]

full article link :
https://t.co/w6MTFJWAgO

[Nivesh Dandyan @ND6598]

https://t.co/hutULIKrzi

[Nivesh Dandyan @ND6598]

Asked claude to reason from first principles before answering.

normally when output is wrong: rewrite the prompt, guess, hope.

now I ask it to show the reasoning chain. it looks like this

Axiom 1: production-grade means no silent failures Axiom 2: no silent failures means every external call needs error
Axiom1 + Axiom2 → every API call needs try/catch with a typed response

that last line is not an assumption. it's a conclusion derived from two axioms you can inspect and dispute independently.

the structure underneath this is a DAG - directed acyclic graph. each conclusion is a node. each inference is a directed edge. nothing floats free. every node has a parent you can trace back to.

so when something breaks, you don't rewrite and hope. you do a backward traversal from the bad output. find which axiom is false. everything in that node's subtree becomes suspect. everything outside it stays valid.

before this the AI made choices and they lived nowhere. no graph underneath them. no edges to follow. you could accept the output or reject it wholesale. that was it.

the reasoning DAG records every decision by construction. the proof is the output.

https://t.co/57FprRGCyN

[Nivesh Dandyan @ND6598]

https://t.co/hutULIKrzi

[Nivesh Dandyan @ND6598]

https://t.co/WpI9sXccF6

[Nivesh Dandyan @ND6598]

hardcoding your agent count is the first mistake

some tasks need 3. some need 12. most need both parallel AND sequential at different stages

3 parallel → 2 sequential → 4 parallel again - that's a real workflow

forge (https://t.co/AT2IKbzHEH) figures out the number and structure automatically. analyzes coupling, maps dependencies, builds the hybrid workflow, with a shared contract for context consistency.

[Nivesh Dandyan @ND6598]

@trycua Background cau is the way to go !

[Nivesh Dandyan @ND6598]

I haven't opened Reddit in 30 days.

I still know exactly what happened on r/ClaudeAI, r/LocalLLaMA, r/OpenAI, and 22 other communities. Every day.

Here's what runs while I sleep:

- Logs into my Reddit account
- Reads every post + comments from 25+ subreddits
- Uploads everything into NotebookLM
- Asks @NotebookLM : mood, drama, top threads, frustrations
- Generates a PDF report
- Scores the overall AI community sentiment: -10 to +10
- Emails it to me at 7 AM

I wake up, read few lines in my inbox, and already know what the AI internet argued about overnight.

Built on @happycapyai

[Nivesh Dandyan @ND6598]

@shreypandya @karpathy @browserbase built the same, last month - for the desktop computer use https://t.co/BMjo1GyogW

[Nivesh Dandyan @ND6598]

@ysu_nlp @NeoCognition Also, the repo is also kinda disorganised and noisy with other experiments I was doing on cau agents - but will work on cleaning it !

[Nivesh Dandyan @ND6598]

@ysu_nlp @NeoCognition love it. Already shipped the open source version of this - https://t.co/BMjo1GyogW

[Nivesh Dandyan @ND6598]

@ysu_nlp @NeoCognition The initial idea, behind this open source project was to make the “hermes agent but for computer use”

[Nivesh Dandyan @ND6598]

@ysu_nlp @NeoCognition love it. Already shipped the open source version of this - https://t.co/BMjo1GyogW