Amit Kushwaha

DevOps/SRE #autoops #docker #kubernatese #Automatio #Monitoring #ChatBot
#DevOps/SRE/PlatformEngineering

[tom @tgeissinger]

Price Targets for these 10 Stocks…

1) AMD $AMD - $608
2) ServiceNow $NOW - $144
3) Oracle $ORCL - $237
4) Micron $MU - $1,600
5) Nebius $NBIS - $287
6) CoreWeave $CRW - $139
7) Microsoft $MSFT - $555
8) Google $GOO - $502
9) ASML $ASML $1,850
10) NVIDIA $NVDA - $287

[Jayita Bhattacharyya (JB) @jayitabhattac11]

Few books I'd recommend for anyone starting up with AI engineering. These books have the best of explanation in simplest terms and written keeping in mind first principles basics.

@chipro @JayAlammar @MaartenGr @rasbt

[Kunal Kushwaha @kunalstwt]

18k ⭐️ on a GitHub repo. Organically.

My friend @ghumare64 is a great example of building in public for the community. The guy is genuinely passionate about what he does and builds open-source projects that get serious traction.

His latest project, agentmemory, a persistent memory layer for AI coding agents based on real-world benchmarks, and hit the number 1 trending spot. Incredible milestone.

Check it out here: https://t.co/LRiUtwoWdq

[Amit Kushwaha @amitstwt_]

@systemdesignone Playbook

[Neo Kim @systemdesignone]

API Design Playbook

Giveaway Alert!!!

• Core API fundamentals.
• Clean & scalable design principles.
• Popular patterns used in real-world systems.
• Practical concepts for interviews & building projects.

(24 hours only.)

To get it for free:

1 Follow @systemdesignone [MUST]
2 Like & Retweet to get DM
3 Reply "Playbook"

Then I'll DM you the details.

[Ivan Velichko @iximiuz]

Docker 101: Container Lifecycle 🐳

There is more to Docker than "docker run" followed by Ctrl+C. You can create, start, pause, unpause, stop, restart, kill, and remove containers. Learning these operations is the key to efficient usage of containers.

https://t.co/VDlZOTUEy7

[Julius Fedorovicius 🇺🇦 @fedorovicius]

New video: Need to install Google Tag Manager on Squarespace? In this quick guide, you'll learn how to install GTM properly, connect it with GA4, and test your setup.

https://t.co/OMSjmxClXW

#gtm #googletagmanager

[Matteo | B2B Product Marketing ⚡️ @matteo_titta]

AI isn't replacing teams, it's amplifying them. GTM engineering is a force multiplier, aiming to double or triple a person's output, not replace them. Think scaling capacity, not reducing headcount. #AI #GTM #FutureOfWork

[Apoorv Agrawal @apoorv03]

MS&E 435 with @alighodsi - the most insight dense conversation I've had this year.

We cover the death of software, AI's jagged frontier, AGI implications, open source AI vs closed, advice for students as they navigate education and careers!

[Nitin.nn @NitinthisSide_]

𝟯𝟬 𝗕𝗹𝗼𝗴𝘀 𝘁𝗼 𝗟𝗲𝗮𝗿𝗻 𝟯𝟬 𝗦𝘆𝘀𝘁𝗲𝗺 𝗗𝗲𝘀𝗶𝗴𝗻 𝗖𝗼𝗻𝗰𝗲𝗽𝘁𝘀:

1. APIs: https://t.co/rotPrzmqsW
2. API Gateways: https://t.co/H8o6JdAvtK
3. JWTs: https://t.co/xDKeDaUwKc
4. Webhooks: https://t.co/DnlnlnQHeA
5. REST vs GraphQL: https://t.co/nxE4WDGLtv
6. Load Balancing: https://t.co/oHhi0BCJg4
7. Proxy vs Reverse Proxy: https://t.co/9yybEKFKpY
8. Scalability: https://t.co/RZAnwKWRfc
9. Availability: https://t.co/6otmmY4qab
10. SPOF: https://t.co/hMwAshtd9W
11. CAP Theorem: https://t.co/1mtupEuHiS
12. SQL vs NoSQL: https://t.co/Yiuz6ohNeG
13. ACID Transactions: https://t.co/oJfATYxxtw
14. Database Indexes: https://t.co/zIUkaDPtxy
15. Database Sharding: https://t.co/f9X4H3nBhf
16. Consistent Hashing: https://t.co/T3kslsUovA
17. CDC: https://t.co/AbAEINF7Ql
18. Caching: https://t.co/wZ9jvagVgg
19. Caching Strategies: https://t.co/4VgCVdCZV4
20. Cache Eviction Policies: https://t.co/2ki1YZPVSv
21. CDN: https://t.co/9BJXTl6osT
22. Rate Limiting Algorithms: https://t.co/IxdITzUgjI
23. Message Queues: https://t.co/qG1LmQdZSS
24. Bloom Filters: https://t.co/HgS8txD8aW
25. Idempotency: https://t.co/jboMnpQjAV
26. Concurrency vs Parallelism: https://t.co/gNDO7kiNUu
27. Long Polling vs WebSockets: https://t.co/yrxQTC4Gip
28. Stateful vs. Stateless Architecture: https://t.co/IoF9d93ECe
29. Batch vs Stream Processing: https://t.co/iLOkjLjKOh
30. Geohashing: https://t.co/T2xROIXPEj

🔁 Repost to help a friend.
📌 Save this post for later.

[Neo Kim @systemdesignone]

If you're just getting started with SYSTEM DESIGN, learn these 16 concepts (not joking):

1 The Computer Science Stack, Simply Explained
→ https://t.co/qfZnlyCSN5

2 Modular Monolith Architecture
→ https://t.co/VVV6v3KGHJ

3 How RPC Works
→ https://t.co/yeIgcmAxQx

4 How JWT Works
→ https://t.co/SZXXrlBsWH

5 Capacity Planning
→ https://t.co/umTNhM2dVY

6 How Bloom Filters Work
→ https://t.co/ntZXq7LxVn

7 How Consistent Hashing Works
→ https://t.co/7d6EipPcKF

8 How Service Discovery Works
→ https://t.co/BcL3tgxx1u

9 API Versioning - A Deep Dive
→ https://t.co/OHAtKSUgVN

10 Concurrency Is Not Parallelism
→ https://t.co/BwRHeuJ5AF

11 How Idempotent API Works
→ https://t.co/afe7ACuSYE

12 Saga Design Pattern
→ https://t.co/2CffTodOHL

13 How Databases Keep Passwords Securely
→ https://t.co/KSfIhpAT2j

14 API Design Best Practices
→ https://t.co/I2ejJ0kbYq

15 How Apache Kafka Works
→ https://t.co/8rOy9KgCMo

16 Distributed Systems 101
→ https://t.co/yi0K5K5RIE

What else should make this list?

===

👋 PS - Want my System Design Playbook (for free)?

Join my newsletter with 200K+ software engineers now:
→ https://t.co/ByOFTtOihX

===

💾 Save now & RT to help others start with system design.
👤 Follow @systemdesignone + turn on notifications.

[Alok Pathak @1005Alok85200]

5 BEST GitHub Repositories to Learn AI Engineering in 2026:

1. Awesome Machine Learning. https://t.co/E9EFe6Lz6F…

2. Full Stack Deep Learning. https://t.co/tEDhJiBTcf…

3. LangChain. https://t.co/FOKqdQ9qGm…

4. LlamaIndex. https://t.co/aASAj7qY6A…

5. Hugging Face Transformers. https://t.co/l6YlQyZ9ZS…

👇Comment "Git" if you find this helpful.

Repost so others can benefit.

Follow for more.

[AI Engineer @aiDotEngineer]

🎥🔴AI Engineer Europe 2026: Day 2 livestream starting now!

Keynotes + Coding Agents breakout track.

https://t.co/JAXzshN6x8

Featuring:

@osanseviero - DevX Lead, Google DeepMind
@dsp_ - Creator of MCP, Anthropic
@idosal1 - Creator of AgentCraft, Creator of MCP-UI, MCP Apps
@badlogicgames - Baker, Pi
@mitsuhiko - Founder, Earendil
@cristinaponcela - Software Engineer, Earendil
@GergelyOrosz - Moderator, The Pragmatic Engineer
@artman - CTO, Linear
@petergostev - AI Capability Lead Arena AI
@jacsebl - CTO, Legora
Kalbir Sohi, Chief AI Officer, UK Government (DSIT)
@davidgomes - Engineer, Cursor
@luebken - Founder, Tavon AI
@sarahchieng - Head of Developer Experience, Cerebras
@lawrjones - Founding Engineer, Incident IO
@matangrinberg - CEO, Factory
@luke_alvoeiro - Product/Tech Lead, Factory
@ben_burtenshaw - ML Engineer, Hugging Face
@mrwoofster - Founder, Cmd+Ctrl
@liamchampton - Senior Cloud Advocate, Microsoft

[Govardhana Miriyala Kannaiah @govardhana_mk]

25 Blogs to Learn 25 DevOps Concepts 👇

1) Terraform Project Structure: https://t.co/RCd6GViEQF
2) Terraform State: https://t.co/g9MgHnK6J8
3) Terraform Graphs: https://t.co/fIUI9vPzeg
4) Terraform Dynamic Blocks: https://t.co/55OU1DgC5s
5) Crossplane with ArgoCD: https://t.co/QbUUv0Pufy
6) GitOps Push vs. Pull Architecture: https://t.co/4MMWiei0oe
7) Kyverno with ArgoCD: https://t.co/jQOZb2bmY7
8) Multi Cloud GitOps Workflow: https://t.co/ePKz8nZU8P
9) Dockerfile vs. Docker Compose: https://t.co/dyl0SckVos
10) Docker Image: https://t.co/rncpfjqeZo
11) Docker Cache: https://t.co/8IBdT1THxL
12) Docker Stats: https://t.co/eUfChMb9Yg
13) Docker Scout: https://t.co/1BPuRjLJ8r
14) GitHub Actions Workflow: https://t.co/KP8khyEMVZ
15) GitHub Actions Optimization: https://t.co/YqnQ7jkfXo
16) GitHub Branching Strategy: https://t.co/JYoBX6WnzN
17) Ansible Architecture: https://t.co/wevEiODC6M
18) Ansible Roles: https://t.co/Ut4iRgPhTa
19) Ansible Dynamic Inventory: https://t.co/pYGP9HVyaL
20) Kubernetes Architecture: https://t.co/PuZ6YExqKt
21) POD Lifecycle: https://t.co/7yXNhSBcwl
22) pod.yaml Breakdown: https://t.co/JhnPhMJb4i
23) VPC Network Segmentation: https://t.co/ueOV6X1Hvh
24) Lambda Integrations: https://t.co/jHa82Yyzdb
25) Serverless Architecture: https://t.co/KeUOuuekkw

55K+ read my DevOps and Cloud newsletter: https://t.co/WBucLdwLhJ

What do we cover:
DevOps, Cloud, Kubernetes, IaC, GitOps, MLOps

🔁 Consider a repost if this is helpful.

[Dhairya @dkare1009]

“RAG = vectors” is outdated.

A new shift is happening: Vectorless RAG.

Instead of embeddings + vector DBs, it uses:
• BM25 / keyword search
• SQL queries
• Knowledge graphs
• Direct context injection

→ No embeddings
→ No re-indexing
→ Lower infra cost

Why this matters:

Vector RAG has problems:
• Chunking breaks context
• Embedding drift
• Expensive infra
• Misses exact matches

Vectorless RAG works best when:
• Data is structured
• You need exact answers
• Context fits in window

But here’s the truth:

It’s not vector vs vectorless.

The future is hybrid retrieval 👇

• Keywords → precision
• Vectors → semantics
• Graphs → relationships
• SQL → exact data

One query.
Multiple retrievers.
Best result wins.

💡 Real insight:

RAG is no longer retrieval.

It’s routing.

Save this 💾
Follow for AI engineering insights 🚀

[Forward Future @ForwardFuture]

"The models have to touch reality for you to know where things break."

@jonsid Founder & CEO @turingcom says:

“In consumer, models like ChatGPT and Gemini have tight feedback loops.”

“In enterprise, that loop barely exists. Adoption is still near zero.”

“There’s massive headroom, but the data just isn’t there yet.”

“That’s why we focus on real human data and real operational data from deployed systems.”

“We’re even resurrecting ‘dead’ companies — their code, Slack, and email — to preserve that intelligence.”

[Dhairya @dkare1009]

Claude Code Project Structure (Quick Guide)

Most projects start with just CLAUDE.md.
That’s why they stay basic.

Here’s the structure that turns Claude into an engineering partner 👇

📌 Core Files
• CLAUDE.md → project rules & context
• CLAUDE.local.md → personal overrides
• mcp.json → connects tools (GitHub, Slack, DBs)
• claude/settings.json → permissions + models

📂 claude/ (real power)
• rules/ → coding + testing standards
• commands/ → reusable workflows (/review, /fix)
• skills/ → auto-loaded expertise (on-demand)
• agents/ → specialized sub-agents
• hooks/ → automation + guardrails

💡 Better structure = better output

Set it once → every session improves.

What does your setup look like?

Save 💾 • Follow for AI workflows 🚀

[Logan Thorneloe @loganthorneloe]

Whether you're an ML engineer building LLMs or an AI engineer building with them, understanding how to evaluate LLMs and their applications is a skill you need to have.

This is the best overview of LLM benchmarks I've read.

Source by @cwolferesearch: https://t.co/QtzUxAsXpy

[Rohit Ghumare @ghumare64]

As I read this, trust me - you need to install https://t.co/7eUyynx2Ol plugin for claude.

https://t.co/xooQShRvQA

[Kyros @IamKyros69]

Oracle Founder Larry Ellison: Elon and I are begging Jensen for GPUs