Sudarshan Sharma​

Software Engineer- Full stack | JavaScript | React | Next.js | Angular | Node.js | MERN Stack | MEAN Stack 💻

[Tech with Mak @techNmak]

If you are trying to understand where AI agents are going, learn harness engineering.

A capable model is only one part of an agent system. Once the model begins reading files, calling tools, modifying state and working across many steps, the quality of the system depends increasingly on the software around it.

Consider a coding agent working through a large repository. The model can decide that it needs to inspect a file, search for a symbol, make an edit or run a test, but those decisions do not execute themselves.

The surrounding runtime has to decide which resources are available, whether the requested action is permitted, how the operation should be performed, what result should be retained, and what information should be presented to the model on the next step.

This becomes harder as the run gets longer. As history accumulates, replaying everything can become costly and less effective. The harness has to decide what should remain in context, what should be summarized or retrieved later, and what belongs in persistent state outside the context window.

Execution has similar problems. A long-running agent may need to survive an interruption, avoid repeating completed work, enforce permissions around consequential actions, and preserve enough history to reconstruct what happened when the final result is wrong.

These are harness problems.

The harness is the layer that manages context, tools, execution, state, checkpoints, limits and traces around the model.

Harness engineering is the work of designing and improving that layer. Engineers inspect execution traces, evaluate agents on representative tasks, look for recurring failure modes, and then change things such as context selection, tool interfaces, state handling or execution controls.

That last part matters because agent failures are often not fixed by changing the model. Sometimes the useful change is in what the model sees, how a tool is exposed, what state is preserved, or what the runtime does after a failed step.

As agents take on longer tasks, the demands on this surrounding software grow. Model capability remains essential, but harness engineering is what turns that capability into an execution process that can be controlled, inspected, tested and improved.

[Ichigo @iiiichigo_chan]

https://t.co/Esm9l92Hkb

[Sudarshan Sharma​ @sud2896]

I earned my "Introduction to generative AI and agents" badge! I’m so proud to be celebrating this achievement and hope this inspires you to start your own @MicrosoftLearn journey!

https://t.co/NxfZz4iBGK #MSLearnBadge

[CyrilXBT @cyrilXBT]

this is pure f*cking treasure

how to build your first ai agent (complete walkthrough)

if someone handed me this a year ago, i would’ve launched my first agent in a single day instead of burning two weeks

with the right person behind it, this rewrites the whole game:

try: https://t.co/4rEItVdKAW

[Anatoli Kopadze @AnatoliKopadze]

The engineer who built Claude Code just dropped a 28-minute video on how to write prompts that actually work.

I've seen $300 courses that don't cover what he shows in the first 10 minutes.

CLAUDE.md files, memory shortcuts, parallel sessions, prompting patterns.

Watch it, then read the guide below on the Claude features 99% of users never find.

[Anatoli Kopadze @AnatoliKopadze]

Anthropic engineer:

"You can build 5 assistants in one afternoon. Each one handles a task you've been doing manually every single day."

In 45 minutes he shows exactly how to build them from scratch, step by step.

Most people are still doing all of this by hand.

Watch it, then read the guide below on the easiest way to build your own AI agent team.

[Anatoli Kopadze @AnatoliKopadze]

https://t.co/AAWIZD1pNL

[Lily @TechWithLilyAi]

Anthropic pays $750,000+ a year for engineers who can build LLM architectures from scratch. Stanford taught the entire thing in 1 hour lecture & released it for free.

Bookmark & watch this today before someone takes it down and read this article below.

[Lily @TechWithLilyAi]

INSTEAD OF WATCHING AN HOUR OF NETFLIX TONIGHT.

The "Wealth Building" course prepared by MIT.

[Lily @TechWithLilyAi]

INSTEAD OF WATCHING NETFLIX TONIGHT. Spend 2 hour with this. Claude AI FULL COURSE that teaches you how to BUILD and AUTOMATE anything. The people who watch this tonight will wake up tomorrow with a new skill. Watch it and bookmark it now.

[Lily @TechWithLilyAi]

🚨Anthropic just showed a 24-minute workshop on how to actually do prompts for Claude.

Taught by the people who built it.

Free. No registration. No paywall.

I've seen $300 courses that don't cover what they teach in the first 8 minutes.

Watch it and bookmark it now!

[Lily @TechWithLilyAi]

Instead of spending 2 hours on a movie...

Spend 1 hour watching this Anthropic Claude for Finance lecture.

It might be the most valuable free resource on quant AI available right now.

Bookmark it, make time for it today, and thank yourself later.

[Swati Gupta @hrswatigupta]

Anthropic engineer:

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

In 45 minutes, she breaks down how Anthropic builds agents that remember, learn from their mistakes, and get smarter with every run.

Worth more than any paid course you'll find on building agents.

Watch this and bookmark

[Nitesh Singh @nitesh_singh5]

After reviewing so many resumes, I kept getting the same questions from freshers and students.

📌 How do I improve my resume?
📌 Where should I build it?
📌 Which template should I choose?

[AqibAi @Aqib__786Ai]

DURING A JOB INTERVIEW, IF THEY ASK:

"WHY ARE YOU LEAVING YOUR CURRENT JOB?"

USE THE GOLDEN RESPONSE:

[Anuj @anujcodes_21]

🚨Anthropic just showed a 24-minute workshop on how to actually do prompts for Claude.

Taught by the people who built it.

Free. No registration. No paywall.

I've seen $300 courses that don't cover what they teach in the first 8 minutes.

Watch it and bookmark it now.

[Ruben Hassid @rubenhassid]

https://t.co/0j9ObTybve

[Swati Gupta @hrswatigupta]

https://t.co/4o3bjre7tc

[Anuj @anujcodes_21]

🚨 Anthropic just showed a 24-minute workshop on how to actually do prompts for Claude.

Taught by the people who built it.

Free. No registration. No paywall.

I've seen $300 courses that don't cover what they teach in the first 8 minutes.

Watch it and bookmark it now.