Hexmos

Hexmos is a group of curious, committed and disciplined builders aspiring to produce great software for the world.

[Hexmos @HexmosTech]

AI is getting cheaper, so why do devs still hit rate limits and worry about budgets?

While inference costs are crashing, our appetite for intelligence is growing even faster.

Inside the nuanced economics of token pricing & Tiered Super-Moore's Law:

https://t.co/kKhVfLlHWK

[Hexmos @HexmosTech]

AI is getting cheaper, so why do devs still hit rate limits and worry about budgets?

While inference costs are crashing, our appetite for intelligence is growing even faster.

Inside the nuanced economics of token pricing & Tiered Super-Moore's Law:

https://t.co/kKhVfLlHWK

[Hexmos @HexmosTech]

When your team uses a mix of Cursor, Claude Code, and Copilot, AI code drift is real.

In my latest article, I explain how to set up a standardized system to make your AI agents behave consistently.

Read the full post here! 👇

https://t.co/l0tj7Jdbep

[Hexmos @HexmosTech]

MCPs (Model Context Protocol) are a way for AI systems to connect with external tools and data. This article explains the basics and shows how you can build your own MCP server from scratch.

Read here:

https://t.co/RsCRZNeY5u

[Hexmos @HexmosTech]

Locking Down Nomad: How to Implement ACLs and Secure Your Cluster

Learn how to secure a HashiCorp Nomad cluster using ACLs, proper access controls, and secure workload practices to reduce unauthorized access and improve cluster security.

Read more:
https://t.co/711WQtBcEB

[Hexmos @HexmosTech]

Python threads not speeding up your code?

You probably just met the GIL.

Here's a practical deep dive into how the GIL actually works, why CPU-bound threads disappoint, and when threading does help.

https://t.co/uK6pey6e0T

[Hexmos @HexmosTech]

AI accountability is probably not solved by “better models” alone.

Civilizations handle dangerous power through responsibility, organization, incentives, and control structures.

A reflection on AI, Rickover, Herbert Simon, and responsible design:

https://t.co/UrUjyMHKp5

[Hexmos @HexmosTech]

AI accountability is probably not solved by “better models” alone.

Civilizations handle dangerous power through responsibility, organization, incentives, and control structures.

A reflection on AI, Rickover, Herbert Simon, and responsible design:

https://t.co/UrUjyMHKp5

[Hexmos @HexmosTech]

How does Spotify pick your next favourite song from 100M tracks in under a second? It’s not magic—it’s a search bottleneck solved with HNSW (Hierarchical Navigable Small Worlds).

Learn more: https://t.co/SVWn9Ht6wQ

[Hexmos @HexmosTech]

Dive into 4 key ideas that explain how RNNs build memory, why they're essential, and their limitations. Understand the basics of this ML concept today!

https://t.co/dQsquZyDz9

[Hexmos @HexmosTech]

How do smart devices perform multiple tasks so smoothly?

From Amazon Alexa smart speakers to robot vacuums and smartwatches, everything just works—no lag, no confusion.

What’s the logic behind it?
https://t.co/7S0ukxQdsB

[Hexmos @HexmosTech]

Most devs use Git daily—but don’t know what a commit really costs.

A 1-line change ≠ another full file.

This post shows how Git compresses history using packfiles + deltas (~50%+ savings).

Worth it if you care about performance & internals.

https://t.co/KyhcklE0hw

[Hexmos @HexmosTech]

How do AI systems correct mistakes and retry? 🤖

In this article, we explore LangGraph, a framework for building self-correcting AI systems. 🔄

Check out our latest article here: 🔗 https://t.co/kwglpViohg

[Hexmos @HexmosTech]

Is your software’s installation process hurting user adoption? Discover the 7 crucial pillars that determine whether users stay or leave, and how Installerpedia Manager (ipm) solves these issues. Read now to secure your user base!

https://t.co/1iZjnJNned

[maneshwar @athreyac4]

Sweet mails incoming!

try and star git-lrc on GH: https://t.co/Twrns5wIC3

#buildinginpublic #indie

[Hexmos @HexmosTech]

How Go Slices Work Under the Hood: What Makes Them Stand Out from Other Languages

Go slices look simple, but the algorithm behind them is elegant and efficient.
A quick dive into how they manage memory, growth, and performance.

https://t.co/osZFt346kK

[maneshwar @athreyac4]

git-lrc was #3 Product of the Day on @ProductHunt
and also has received 251 stars on @github .

Thanks to the community for recognizing a good product.

If you haven’t tried git-lrc yet, please do and star it, your support makes a difference :)

https://t.co/Twrns5wIC3

[maneshwar @athreyac4]

git-lrc was #3 Product of the Day on @ProductHunt

We’re now live on @Peerlist and currently standing at #9 of the week.

Thanks to the community for recognizing a good product.

If you haven’t upvoted yet, please do, your support makes a difference :)

https://t.co/ODZEu349HB

[maneshwar @athreyac4]

And if you like what we’re building, please drop a ⭐ on GH,
that early support genuinely makes a difference.

https://t.co/Twrns5wIC3

Thanks a ton :)

[maneshwar @athreyac4]

Built a tool that gives you unlimited AI code reviews that run on every commit.

AI agents write code fast. They also silently remove logic, change behavior, and introduce bugs -- without telling you. You often find out in production.

#BuildingInPublic #git #indiedev