Sumit

Software engineer by occupation, Photographer by Passion and I am still thinking which button i click on time mouse click or cam.

[Annatar.md @AnnatarXBT]

this is straight f*cking gold for anyone on Claude Code

you already pay for Fable 5.1, and while Opus 5.5 does all the work it just sits there

one command puts it on your session as a senior reviewer:

/advisor fable

Opus 5.5 keeps writing the code
Fable 5.1 reads the whole session, every tool call included, and speaks up at three moments only:

> before a plan: is this the right approach?
> when the same error comes back: am I digging in the wrong place?
> before "done": what did I miss?

Fable 5.1 reviews. Opus 5.5 ships

Jev engineering does the same thing one layer down: forks that need no thinker (which file, which tool, retry or stop) go to Jev in under half a second, and the big model only sees the ones that actually split

• the full tree
> Opus 5.5 on high runs the main session
> explorer reads the code
> worker edits and runs tests
> researcher pulls the docs
> all three on medium
> Fable 5.1 on call as the advisor

paste the tree and this prompt into Claude Code ↓

"Rebuild my Claude Code setup around this tree:

1. Check ~/.claude/agents and .claude/agents for subagents that already fit explorer, worker and researcher. Draft new ones only for missing roles. Give each model: opus, effort: medium. Skip any that pin a different model and list them.

2. Set the main session to high via effortLevel in ~/.claude/settings.json, and set advisorModel to fable.

3. Find anything that keeps the advisor off (CLAUDE_CODE_DISABLE_ADVISOR_TOOL, DISABLE_TELEMETRY, any variable that stops feature-flag fetching) plus CLAUDE_CODE_EFFORT_LEVEL, which overrides subagent effort. Report them, change nothing.

4. Add one rule to ~/.claude/CLAUDE.md: consult the advisor before a large plan, when an error repeats, and before calling a long task done.

Show me every change as a diff first. No edits until I say go"

↳ https://t.co/E69hNP0Z4U

[Sumit @trsumit]

@Ai_Vaidehi ML

[Dr Milan Milanović @milan_milanovic]

𝗦𝗼𝗳𝘁𝘄𝗮𝗿𝗲 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿 != 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗲𝗿

Software Engineer == Problem Solver

Don't attack problems with code. Try first to understand them from a business perspective and then a technical perspective. When you do this, make a plan for how to solve it.

Try to solve without coding. The best code is not code.

If you must code, then do it.

Remember, 𝗰𝗼𝗱𝗲 𝗶𝘀 𝗮 𝗹𝗶𝗮𝗯𝗶𝗹𝗶𝘁𝘆, 𝗻𝗼𝘁 𝗮𝗻 𝗮𝘀𝘀𝗲𝘁.

#technology #softwareengineering #programming #developers #coding

[Tanishka Yadav @tanishka__yadav]

50% of my journey in Tech is from YouTube📺

I've never invested in buying courses of Web Development because of these channels👇

🧱HTML & CSS -
Bro Code
Coding Tech
Free Code Camp
The Net Ninja

👩‍💻Javascript
Codedamn
Dev Ed
Andy Sterkowitz
Steve Griffith
Akshay Saini

🎨ReactJs
Traversy Media
The Net Ninja
Programming with Mosh
Web Dev Simplified

🎮Projects
Clever Programmer
Sonny Sangha
Code With Antonio
Javascript Mastery

Opportunities & resources in Tech are endless! All you need is a will to start from today 🎯

[Swapna Kumar Panda @swapnakpanda]

75 YouTube channels you will never regret subscribing to:

❯ C ➟ Jacob Sorber
❯ C++ ➟ TheCherno
❯ Java ➟ amigoscode
❯ C# ➟ kudvenkat
❯ Python ➟ Corey Schafer
❯ JavaScript ➟ developedbyed
❯ Golang ➟ Jon Calhoun
❯ Swift ➟ CodeWithChris
❯ Kotlin ➟ PhilippLackner
❯ PHP ➟ ProgramWithGio
❯ Ruby ➟ DriftingRuby
❯ Rust ➟ NoBoilerplate
❯ Lua ➟ Steve's teacher
❯ R ➟ marinstatlectures
❯ SQL ➟ Joey Blue

❯ JavaScript ➟ Akshay Saini
❯ TypeScript ➟ basarat
❯ TypeScript ➟ TypeScriptTV
❯ C# ➟ Microsoft Developer [Bob Tabor]
❯ C# ➟ dotnet [Scott/Kendra]
❯ Node.js ➟ Traversy Media
❯ React ➟ Dave Gray
❯ Vue ➟ Vue Mastery
❯ Django ➟ CodingEntrepreneurs
❯ Laravel ➟ LaravelDaily
❯ Blazor ➟ James Montemagno
❯ Spring ➟ SpringSourceDev
❯ SpringBoot ➟ amigoscode
❯ Ruby on Rails ➟ GorailsTV
❯ HTML/CSS ➟ Kevin Powell

-- DSA --

❯ mycodeschool
❯ Abdul Bari
❯ Kunal Kushwaha
❯ Jenny's Lectures CS IT
❯ CodeWithHarry

-- Full Stack --

❯ Traversy Media
❯ NetNinja
❯ Dave Gray

❯ Projects ➟ WebDevSimplified
❯ UI Design
➟ developedbyed
➟ DesignCourse

-- DevOps --

❯ GIT ➟ The Modern Coder
❯ Linux ➟ Learn Linux TV
❯ DevOps ➟ DevOpsToolkit
❯ CI/CD ➟ TechWorld with Nana
❯ Docker ➟ Bret Fisher
❯ Kubernetes ➟ Kubesimplify
❯ Microservices ➟ freeCodeCamp
❯ Selenium ➟ edureka!
❯ Playwright ➟ Jaydeep Karale

-- Cloud Computing --

❯ AWS ➟ amazonwebservices
❯ Azure ➟ Adam Marczak
❯ GCP ➟ edureka!
❯ Serverless ➟ Serverless
❯ Jenkins ➟ DevOps Journey
❯ Puppet ➟ simplilearn
❯ Chef ➟ simplilearn
❯ Ansible ➟ Learn Linux TV

-- Data Science --

❯ Mathematics
➟ 3Blue1Brown
➟ ProfRobBob
➟ Ghrist Math

❯ Machine Learning
➟ sentdex
➟ DeepLearningAI
➟ StatQuest

❯ Excel ➟ ExcelIsFun
❯ Tableau ➟ Tableau Tim
❯ PowerBI ➟ Guy in a Cube

-- Free Education --

➟ freecodecamp
➟ Simplilearn
➟ edureka!

-- Most Valuable --

➟ TechWithTim
➟ programmingwithmosh
➟ Traversy Media
➟ BroCodez
➟ thenewboston
➟ Telusko
➟ Derek Banas
➟ CodeWithHarry
➟ MySirG .com
➟ Leila Gharani
➟ Kunal Kushwaha
➟ TechWorld with Nana
➟ KodeKloud

[Igor De Souza @Igfasouza]

Exactly-once semantics with Kafka transactions.

#apachekafka

Which are the main components that are involved in a transaction lifetime?

https://t.co/tkrjyQX59s

[Javarevisited @javarevisited]

10 Advanced Algorithms you should learn before System Design Interview by @AlexYu
read - https://t.co/ZnWwDtx65O

[Dr Efi Pylarinou @efipm]

📌 @thisisinsider book picks for #generativeAI! Check the 3 latest & more details 👉 https://t.co/AQlvcKx7FQ
#ChatGPT
@EvaSmartAI @andi_staub @nafisalam @sarbjeetjohal @dinisguarda @jenstirrup @SimonCocking @DalithSteiger @Khulood_Almani @Xbond49

[Santiago @svpino]

You can download this Data Science and Machine Learning book for free.

There are 4 sections for those who are starting:

• Linear Algebra and Functional Analysis
• Probability and Statistics
• Python Primer
• Multivariate Differentiation and Optimization

The rest of the chapters:

• Importing, Summarizing, and Visualizing Data
• Statistical Learning
• Monte Carlo Methods
• Unsupervised Learning
• Regression
• Regularization and Kernel Methods
• Classification
• Decision Trees and Ensemble Methods
• Deep Learning

Download the book here: https://t.co/wNK3BfAxul

[Javarevisited @javarevisited]

Have you read this yet?

Learning Software Architecture, System Design, and Microservices?
find more books on my post - https://t.co/InSvnhBlCz

[Naoya Takahashi @zuNaoya]

CLIPSep: Learning Text-queried Sound Separation with Noisy Unlabeled Videos
We propose a text-queriable sound separation model that can be learned w/o text-audio pair data.
Work is done with and first authored by @salu133445 during an internship @Sony.
https://t.co/QUbmhgOtze

[Sumit @trsumit]

https://t.co/nEAuukQ2ce

[AI Breakfast @AiBreakfast]

🤯 Full body tracking now possible using only WiFi signals

A deep neural network maps the phase and amplitude of WiFi signals to UV coordinates within 24 human regions

The model can estimate the dense pose of multiple subjects by utilizing WiFi signals as the only input

🧵

[Daily AI Papers @papers_daily]

Multimodal Deep Learning

https://t.co/IJTXLlK5NK

This book is the result of a seminar in which we reviewed multimodal approaches and attempted to create a solid overview of the field. We also cover other modalities...

🧵 👇

[Daniel Kelley @danielmakelley]

30 cybersecurity search engines for researchers:

1. Dehashed—View leaked credentials.
2. SecurityTrails—Extensive DNS data.
3. DorkSearch—Really fast Google dorking.
4. ExploitDB—Archive of various exploits.
5. ZoomEye—Gather information about targets.

[Karen X. Cheng @karenxcheng]

1/ Now you can create "drone" shots from your phone footage, thanks to NeRF
Collab with @justlv / software @nerfstudioteam / see below for our process
#NeRF #neuralrendering #artificialintelligence #instantNeRF

[Library Mindset @librarymindset]

48 Books That Will Change Your Life In 365 days

(thread)

[Jean de Nyandwi @ ✈️🌁COLM 26 @Jeande_d]

First Principles of Computer Vision, Columbia University

Really nice lectures on the physical and mathematical foundations of computer vision.

140 videos that you can watch at your pace. Slides are also provided to follow along.

https://t.co/GqPlV2SzSU

[Peter Henderson @PeterHndrsn]

So thrilled to finally release “Pile of Law: Learning Responsible Data Filtering from the Law and a 256GB Open-Source Legal Dataset” w/ @markskrass @lucia__zheng @NeelGuha @chrmanning @jurafsky & @DanHo1.

Paper: https://t.co/qvzB2HlA7V
Dataset: https://t.co/dzwXi3wA4t

🧵👇

[Sumit @trsumit]

@swissairlines Almost 1 hour 40 minutes and still counting just to collect a boarding pass and no one on the counters. Definitely going to avoid it next time.