Agam Agarwal

🇮🇳🇮🇳
Working for IT Profession and Trading for Passion | Cash Markets only, no FnO | Investments ||

[AiMind @AIMind_Ai]

4 dead office PCs on a bedroom floor became an AI cluster that bills clients $3,200 a month. Hardware cost: $420.

No rack. No server room. A mechanical keyboard sits on the stone floor next to a motorcycle helmet.

The parts, all bought used:

A Dell micro desktop, the kind offices dump by the pallet when they refresh. $60.
Two retired laptops with dead batteries and working CPUs. $120 each.
One old tower with a cheap GPU. $120.
$420 total. Every one of them was somebody else's e-waste 6 months ago.
They run as one machine. Small models split across the boxes: a 3B for classification on the mini PC, a 7B for drafting on the tower with the GPU; the laptops handle file watching and queueing. Nothing touches a cloud API.

Then the math flips.

Inbox triage and drafted replies, $500 a month per client.
Invoice and receipt processing, $300.
Content drafting from their own notes, $800.

Four clients on the middle tier is $3,200 a month against a $12 electricity bill.

Nobody in that room owns a GPU worth more than $150. The subscription stack he cancelled cost more than the entire cluster.
It was e-waste 6 months ago. Now it makes payroll.

[tomato 🍅 @neembu_paani31]

Super proud of my repo file-ITR.

It has 170 starts, and 36 forks.

People with 8-10 years of industry experience are raising PRs on it and using it to streamline their ITR filling.

The reason I’m proud is because this is the first time I have done something which people are using.

[painn @_0xpainn]

Alibaba made Qwen 3.8 Max free on Qoder Desktop for 14 days

it's their 2.4T parameter model. rivals Fable 5 on coding benchmarks. runs in a desktop IDE.

what you get for $0:
-2.4 trillion parameters
-Qwen3.8-Max-Preview in a full agentic IDE
-code completion, test generation, file editing
-2-week Pro trial, then 90-98% off preview pricing

what this replaces:
-Fable 5 at $30/M output tokens
-$20/mo Pro coding subs

how to set it up (2 min):
1. Download at https://t.co/Nj6i2193fV
2. Sign up with email
3. Add Qwen3.8-Max-Preview in Settings → Models

Works on macOS, Windows, Linux.

Important: 2-week free trial. No card needed. Preview pricing after is 90-98% off.

Use it before they take it off

[Puneet Patwari @system_monarch]

A month ago, I told everyone:

"I've been a backend Engineer for 12+ years. Today, I'm a Principal Engineer at Atlassian.

I've designed systems that handle millions of requests. Sat on both sides of system design interviews.

Reviewed more architecture docs than I can count.

Starting today, I'm breaking down the fundamentals of scaling for the next 25 days.

If you're learning system design bookmark this thread, you're going to get a lot of learning from this."

FYI, the series has concluded. Here are all the concepts, please bookmark, share, learn and the most important build from the learnings you get.

Also, if you have any ideas on what you'd like to see from me, please let me know, any other series or concepts to be broken down.

[painn @_0xpainn]

How to run ~1.6B FREE tokens/month through one endpoint in 2 minutes 😳

OmniRoute is an open-source router that aggregates 50+ free AI provider tiers into a single OpenAI-compatible endpoint.

What it gives you:
- Mistral: 1B tokens/mo (their free research tier)
- Groq: 117M tokens/mo (fast inference)
- Cloudflare: 30M tokens/mo (includes GLM-5.2)
- Cerebras: 30M, SambaNova: 30M
- permanent no-cap: SiliconFlow, GLM-4-Flash (CN), Tencent, Baidu
- first month hits ~2.1B tokens with signup credits
- 15-95% token savings via RTK + Caveman compression

Setup (2 min):
> 1. npx omniroute
> 2. Point agent to http://localhost:3000
> 3. 231 providers auto-route with fallback

Works with: Claude Code, Codex, Cursor, Cline, Hermes Agent, OpenClaw, Aider, Continue anything with an OpenAI-compatible client.

No API keys. No credit card.

7.1K stars on GitHub.

If you are still paying for every token, you are doing it wrong.

bookmark this before the providers tighten the tiers.

[Harshit Khosla @Harry_The_Nerd]

Found this channel today
Felt like a goodie underrated new channel

He has covered stuff like High-Level-Design, Design Patterns, DB concepts, gRPC, etc.

[How To Prompt @HowToPrompt__]

China has killed the entire vector database industry.

They open-sourced TencentDB Agent Memory. It gives any AI agent long-term memory that runs 100% locally.

No Pinecone. No cloud APIs. No repeating yourself every session.

- 61% fewer tokens
- PersonaMem accuracy: 48% → 76%
- Zero external API dependencies
- Runs on plain SQLite

Most memory systems compress your history into an opaque vector pile. when recall goes wrong, you're guessing. this one doesn't compress, it builds a semantic pyramid.

L0 Conversation → L1 Atom → L2 Scenario → L3 Persona.

Short-term state gets encoded as a Mermaid graph in your agent's context. verbose tool logs get offloaded to disk. when the agent needs proof, it drills back via node_id to the exact raw log.

no lossy compression. every layer is readable markdown you can just open and inspect.

5.1k stars. 100% Open Source.

[ginni @ginniyaar]

AI Engineer interview questions i got
couldn’t find many while preparing, so sharing these. hope it helps :)

[kaize @0x_kaize]

Claude Code just dropped "Getting Started with Loops"

This is their first official document about Loop Engineering.

Spoiler: prompt engineering didn't survive.

Here's the full guide in one post:

1. Turn-based

Every prompt you send already runs as a loop: Claude gathers context, takes action, checks its own work, and repeats until it decides the task is done or realizes it needs your input.

2. Goal-based

You define what "done" looks like with /goal, and Claude keeps iterating toward it. Every time it tries to stop, a separate evaluator model checks your condition - if it's not met, Claude gets sent back to work until the goal is reached or the turn limit hits.

3. Time-based

This is the /loop command: нou set an interval and a prompt fires on schedule. For example, every 5 minutes Claude checks your PR, addresses review comments, and fixes failing CI.

4. Proactive

Here you set up an event once, and the loop triggers itself whenever that event happens - with zero human input.

Anthropic also shared optimization advice - and this part matters most:

- Loop quality depends on system quality.
- Tokens are the real cost

None of this is magic. It's the same familiar parts - /goal, /loop, Skills, Hooks - composed into systems that run without you.

I built exactly that kind of system in my article:

Loop that wakes up at 6 AM, finds work on its own, reviews itself, and leaves ready PRs for you. Step by step, from SKILL(.)md to cron trigger:

[Kanika @KanikaBK]

Omg.. this can't be true...

I kept building AI agents on my eventually list because everything I read made it sound like a six month project requiring a technical background I did not have.

One Reddit thread changed that by saying the one thing nobody had said clearly: pick the smallest possible problem and finish it completely before you try to build anything impressive.

MY ARTICLE IS THE CLAUDE CODE VERSION OF THAT LESSON.
Working agent - Under one hour - Zero coding.

Full guide below.

[Neo Kim @systemdesignone]

If you want to become good at system design (in 2026), learn these 26 case studies:

[Ayaan 🐧 @twtayaan]

The DevOps roadmap nobody told you about 🤯

Here are 14 hands-on projects you can build this weekend:

→ Project 1: Set up an AWS account
→ Project 4: Secure packages with CodeArtifact
→ Project 6: Deploy a web app with CodeDeploy
→ Project 7: Build a full CI/CD pipeline with AWS
→ Project 8: Launch a Kubernetes cluster
→ Project 10: Create Kubernetes manifests
→ Project 11: Deploy a backend with Kubernetes
→ Project 14: Create S3 buckets with Terraform

All free. All hands-on. No videos to watch and forget.

Nearly 5,000 people have already completed just the first project.

Thousands more are working through the rest right now.

Start here: https://t.co/8ACKVQ9pjM

[CyrilXBT @cyrilXBT]

PEOPLE ARE PAYING FOR AI ENGINEERING BOOTCAMPS BUILT FROM THIS EXACT MATERIAL.

Andrew Ng gave 3 hours of it away free.

00:00 Building agentic AI systems
04:25 Where AI engineering is actually headed
23:38 The full prompting course
2:52:17 Building an app with AI in 30 minutes

The man who taught 8 million people AI just handed you the 2026 curriculum for free.

Watch it, then read the self improving system guide below.

Follow @cyrilXBT

[Amit Shekhar @amitiitbhu]

Take the 100 Days of AI challenge - learn one AI concept a day, from machine learning basics to AI agents in production, in 100 days.

Start here: https://t.co/fFNuWj1ZAN

#100DaysOfAI

[yash.jsx @yashmp2004]

Jokes apart

All you really need is Gaurav Sen's system design playlist to land a job.

[Rahul @sairahul1]

Google Brain founder, Andrew Ng:

"100% of my tasks are done by ai agents, self-improving loops are next.

Give it 3-6 months and prompting is gone."

32 minutes of clear explanation on building loops from scratch.

Worth more than any $500 agentic course.

Watch it, then read the full guide below.

[Ayaan 🐧 @twtayaan]

If you are getting into DevOps, bookmark this repo. It covers everything.

Here is what you will find inside:

→ Which cloud platforms to know and how they differ from each other

→ How to run and manage containers with Docker, Kubernetes, Podman and more

→ How to set up CI/CD pipelines using Jenkins, GitLab CI, Argo, Tekton and GitHub Actions

→ How to write Infrastructure as Code with Terraform, Pulumi, Ansible and OpenTofu

→ How to monitor your systems with Prometheus, Grafana, Loki and Netdata

→ How to manage secrets safely with HashiCorp Vault, Infisical and SOPS

→ How to set up service mesh and discovery using Istio, Linkerd, Consul and Envoy

→ How to run chaos engineering experiments with Chaos Monkey, Litmus and Chaos Mesh

→ How to build Internal Developer Platforms with Backstage, Port and Kratix

→ DevOps books, blogs, conferences and roadmaps all in one place

4k stars. 811 forks. Free forever.

Repo link: https://t.co/tYoRitqdwh

[Swapna Kumar Panda @swapnakpanda]

Learning AI & ML becomes SUPER EASY when you finish THESE COURSES:

[K2S @k2sbhai]

Top 5 FREE AI API providers i found this week

No credit cards
No trials
Just API keys 😳

1. Runtime by Bad Theory Labs

10M free tokens/month

GPT 5.5, Opus 4.8, DeepSeek V4, GLM 5.2, Kimi

- Google login
- No card required
- OpenAI-compatible

2. Mistral

1B free tokens on signup

Mistral Large 3, Codestral, Mathstral

- Gmail signup
- No card required
- OpenAI-compatible

3. NVIDIA Build

80+ models with one API key

Qwen 3.5 397B, DeepSeek V4 Flash, Kimi K2.6, Minimax M3

- Email + phone
- No card required

4. Zenmux

GLM 5.2, Kimi K2.7 Code, Step 3.7 Flash

- Gmail signup
- No card required
- Free API access

5. OpenRouter (Nex N2 Free)

397B frontier model

80.8% SWE-Bench

- Google login
- No card required
- Free endpoint available

Works with:

Cursor
Cline
Claude Code
Aider
Roo Code

5 providers
$0 cost

Bookmark this before the free tiers change 👀