Nik Nenkov

[Nik Nenkov @nik_nenkov]

NENA | 99 Red Balloons [1984] (Official HD Music Video) https://t.co/7fSeiBGMwP via @YouTube

[Nik Nenkov @nik_nenkov]

The blue LED was almost impossible to make https://t.co/zXNN5HxH9B via @YouTube

[i²cjak @i2cjak]

there is ALWAYS a Japanese person who has already figured out what you need to do

[All day Astronomy @forallcurious]

The idea, now known as the Breit-Wheeler process, was inspired in part by the dawn of quantum mechanics during this period, which revealed that photons could interact on quantum levels in ways that are not predicted by classical mechanics. The physicists were also building on Albert Einstein’s famous mass-energy equivalence, written as E=mc2, which demonstrates that mass and energy are two sides of the same coin.

[Nik Nenkov @nik_nenkov]

@forallcurious can we see the docs

[All day Astronomy @forallcurious]

🚨: Scientists just created matter from pure light, proving Einstein's 90-years old theory E=mc², right in the lab!

[Physics Memes @ThePhysicsMemes]

Gotta go fast #algebra

[Nils @nilsxor]

Did you know a GeoJSON containing all country borders is only 1MB? Small enough to search in real-time

[Nik Nenkov @nik_nenkov]

The Top 10 Physics Paradoxes and Unsolved Problems https://t.co/fJ3LWngtVP via @YouTube

[Alice Loxton @history_alice]

Edinburgh! 🏴󠁧󠁢󠁳󠁣󠁴󠁿

[Nik Nenkov @nik_nenkov]

@LewisHowes sure but it wont matter if noone is following your delusion

[Nik Nenkov @nik_nenkov]

@Shazam found More to Lose by Miley Cyrus: https://t.co/Ixc7pDValU

[Nik Nenkov @nik_nenkov]

Check out “Happy Gilmore 2” on Netflix

https://t.co/idFOLhbPTJ

[Husker @husker_eth]

There were signs

[Ashish Pratap Singh @ashishps_1]

30 Blogs to Learn 30 System Design Concepts:

1. APIs: https://t.co/SFR7c1yi1Z

2. JWTs: https://t.co/hHSdPVqsML

3. Webhooks: https://t.co/789CPy1rXE

4. API Gateways: https://t.co/kjlIJy9ElI

5. Load Balancing: https://t.co/zrVmh7rURa

6. Proxy vs Reverse Proxy: https://t.co/AR8L9F2met

7. Scalability: https://t.co/Gbpjax24gd

8. Availability: https://t.co/GfakejdGQz

9. SPOF: https://t.co/5FtrH1Shrc

10. CAP Theorem: https://t.co/Aaq5s96WFU

11. SQL vs NoSQL: https://t.co/vDTE5PqNel

12. ACID Transactions: https://t.co/eQBBIIM6w9

13. Database Indexes: https://t.co/CKk39deBkk

14. Database Sharding: https://t.co/nIkBZ8FZtv

15. Consistent Hashing: https://t.co/cg1mZ4iuQy

16. CDC: https://t.co/YCesZ6Y8AN

17. Caching: https://t.co/Jed9uIFFim

18. Caching Strategies: https://t.co/xhxmMgVQvW

19. Cache Eviction Policies: https://t.co/eGUV3zzG3A

20. CDN: https://t.co/DVnDPGUsFC

21. Rate Limiting Algorithms: https://t.co/mjnf3S9PUA

22. Message Queues: https://t.co/BTX85efXZu

23. Bloom Filters: https://t.co/vNV9yFrixf

24. Idempotency: https://t.co/lsMSkZrS38

25. Concurrency vs Parallelism: https://t.co/DWmMDNjkxR

26. Long Polling vs WebSockets: https://t.co/MB628lZb2w

27. Stateful vs. Stateless Architecture: https://t.co/w7OkmUQLR8

28. Batch vs Stream Processing: https://t.co/q3MCCs26wd

29. Strong vs. Eventual Consistency: https://t.co/acdTNzakRK

30. REST vs GraphQL: https://t.co/p0aR5Xxnk3

♻️ Repost to help others in your network.

[LaurieWired @lauriewired]

Windows is one massive (private) Git repo.

When I was at MS, the Windows Source had around ~3k PRs a day!

Regular Git didn’t scale to those levels at the time.

Internally there was a progression from Git -> GVFS -> Scalar -> merge back to Git. Here's how it worked:

[Nikki Siapno @NikkiSiapno]

What is AI Gateway?

As AI moves into production, most teams hit the same wall:

Infra wasn’t built for this.

Apps, agents, orchestration layers, and context layers are all talking to models in real time.

And things get messy fast.

Infrastructure often falls behind, with challenges around authentication, rate limiting, data security, observability, and constant provider changes.

That's what AI Gateway solves.

It’s a proxy developed by Kong for AI infrastructure, where secure access, observability, and orchestration are first-class citizens.

Learn more here: https://t.co/fJb0uktUbG

It gives teams a way to:

• Expose APIs, and LLMs as secure, self-service products for agents

• Control and observe agent traffic across APIs, tools, and models

• Enforce rate limits, quotas, and usage throttles per agent

• Sanitize prompts by detecting and removing PII before reaching LLMs

• Provided a unified API interface access across model providers like OpenAI, Anthropic, and more

• Route traffic intelligently across models and backends via a variety of load balancing algorithms like lowest usage and lowest latency

There's a lot to manage and govern when rolling out AI. I think @kong's AI Gateway simplifies a lot of that complexity.

Thanks to Kong for simplifying AI infrastructure and partnering on this post.

💬 What have you found challenging about working with or building AI lately? 💭

[Nik Nenkov @nik_nenkov]

A Truly Crazy "Right" Triangle https://t.co/iLBEHUP0Fe via @YouTube

[Interesting STEM @InterestingSTEM]

This is why vertical farming is considered the future of 21st-century agriculture.