Web Developer Travis McCracken on Building a Private API with Rust
via DEV Community: rust (author: Travis McCracken Web Developer)
via DEV Community: rust (author: Travis McCracken Web Developer)
Telegraph
Web Developer Travis McCracken on Building a Private API wit…
Building Robust Backends with Rust and Go: Insights from Web Developer Travis McCracken Hey everyone! I'm Travis McCracken, a passionate Web Developer specializing in backend development, and today I want to share some insights into how Rust and Go are transforming…
Introducing hatch - a capability-based sandbox for MCP
Github repo
Hatch is a capability-based sandbox for MCP (Model Context Protocol) servers on Linux and macOS. Each server runs under a signed TOML manifest that declares its network destinations, filesystem paths, subprocess permissions, and per-tool argument rules in a CEL subset, enforced by user/mount/pid/net namespaces + cgroups + iptables on Linux and sandbox-exec + PF on macOS, plus an SNI-filtering proxy and DNS allowlist for egress. The threat model is the contract: "what hatch does NOT protect against" sits right next to "what it does."
via DEV Community: rust (author: Irfan)
Github repo
Hatch is a capability-based sandbox for MCP (Model Context Protocol) servers on Linux and macOS. Each server runs under a signed TOML manifest that declares its network destinations, filesystem paths, subprocess permissions, and per-tool argument rules in a CEL subset, enforced by user/mount/pid/net namespaces + cgroups + iptables on Linux and sandbox-exec + PF on macOS, plus an SNI-filtering proxy and DNS allowlist for egress. The threat model is the contract: "what hatch does NOT protect against" sits right next to "what it does."
via DEV Community: rust (author: Irfan)
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An Open-Source Gym-Style Backtesting Framework for Algorithmic Trading in Rust
via DEV Community: rust (author: Len)
via DEV Community: rust (author: Len)
Telegraph
An Open-Source Gym-Style Backtesting Framework for Algorithm…
End-to-end workflow: Running make run in the chapaty-template project executes the example strategy from this blog post and produces a QuantStats tearsheet. TL;DR: Chapaty is an open-source Rust backtesting framework with a Gym-style [1] reset / step / act…
How I turned a Rust book into a multilingual, interactive learning platform
via DEV Community: rust (author: born1987-ir)
via DEV Community: rust (author: born1987-ir)
Telegraph
How I turned a Rust book into a multilingual, interactive le…
🦀 The Land of Rust – from an idea to a complete platform Months ago, I started writing a Rust book for my own children. No prior programming experience assumed. Just a story: a space crab named Ferris crashes his spaceship and has to learn Rust to fix it.…
Ditch the Clunky GUIs: Meet ComChan, the Blazingly Fast Rust Serial Monitor
via DEV Community: rust (author: Vaishnav-sabari-girish)
via DEV Community: rust (author: Vaishnav-sabari-girish)
Telegraph
Ditch the Clunky GUIs: Meet ComChan, the Blazingly Fast Rust…
If you spend any significant amount of time doing embedded systems development, you know the drill. You write your firmware, flash the microcontroller, and then… you stare at a serial monitor. For years, the options have been a bit of a mixed bag. You have…
A tiny Rust CLI I made while learning the language
I'm still pretty new to Rust, and I find I learn best by building small things. So here's one: isdown — a little CLI that checks if services like GitHub, Slack, AWS, or Cloudflare are having issues.
It just queries each service's public status endpoint — no API keys or setup. You can also pass any URL, or add
It's nothing groundbreaking, but it gave me a reason to actually use
Repo: https://github.com/dariush624/isdown
If you spot something that could be better, I'd genuinely love the feedback — issues and PRs are very welcome. 🙏
via DEV Community: rust (author: Dariush Moshiri)
I'm still pretty new to Rust, and I find I learn best by building small things. So here's one: isdown — a little CLI that checks if services like GitHub, Slack, AWS, or Cloudflare are having issues.
$ isdown check github slack
GitHub: Up
Slack: Degraded
· Slow API (investigating)
It just queries each service's public status endpoint — no API keys or setup. You can also pass any URL, or add
--json for scripting.cargo install --path .
It's nothing groundbreaking, but it gave me a reason to actually use
clap, reqwest, async, and a bit of macro magic for the provider registry. I learned a lot, and I'm sure there's plenty I got wrong.Repo: https://github.com/dariush624/isdown
If you spot something that could be better, I'd genuinely love the feedback — issues and PRs are very welcome. 🙏
via DEV Community: rust (author: Dariush Moshiri)
Termim Is Becoming More Than Just “Better Terminal History”
A few weeks ago, I introduced Termim as a way to stop shell history from bleeding across projects.
The idea was simple:
You run a
then later press
That friction always felt unnecessary.
Since then, Termim has evolved quite a bit — both technically and conceptually.
From “Project-Aware” to Directory-Aware
One thing I realized while building this:
“Project-aware” wasn’t precise enough.
A lot of work happens inside projects:
● nested backend folders
● monorepos
● temporary workspaces
● isolated environments
So Termim now scopes history to your actual directory context, not project root.
That means:
● cleaner recall
● less irrelevant history
● less searching through noise
● What Changed Recently
● Binary-First Installers
Here's What Changed Recently
Binary-First Installers
Installers were rewritten for:
● Bash
● Zsh
● Fish
● PowerShell
Instead of forcing local builds, Termim now downloads the correct Rust binary automatically.
Also added:
● SHA256 checksum verification
● idempotent installs
● instant activation on Windows
● In-Memory Secret Redaction
In-Memory Secret Redaction
This became important pretty quickly.
Termim now scrubs sensitive data before history is written:
● API keys
● JWTs
● passwords
● tokens
The filtering happens in-memory, so secrets never touch disk history.
Still Zero-Daemon
One thing I wanted to preserve from day one:
No background services.
Termim stays lightweight:
● no daemon
● low latency
● Rust-native execution
● minimal overhead
The shell should still feel fast.
Cross-Shell Parity
Behavior is now consistent across:
● Bash
● Zsh
● Fish
● PowerShell
The core interaction model is:
One Unexpected Thing
The most useful feedback I got wasn’t praise.
It was people saying:
That feedback forced me to explain the product more concretely, which ended up improving the direction of the project itself.
The real value of Termim isn’t “AI workflow optimization.”
It’s much simpler:
keeping terminal history relevant to where you actually are.
Architecture & Internals
I also added a detailed
● state management
● locking
● prediction flow
● shell integration
● execution model
For anyone interested in the internals.
GitHub: https://github.com/akhtarx/termim
Still early. Still refining.
But the direction feels much clearer now.
via DEV Community: rust (author: Md Mim Akhtar)
A few weeks ago, I introduced Termim as a way to stop shell history from bleeding across projects.
The idea was simple:
You run a
Docker command in one repo…then later press
↑ (arrow-up key) somewhere completely different and get unrelated history back.That friction always felt unnecessary.
Since then, Termim has evolved quite a bit — both technically and conceptually.
From “Project-Aware” to Directory-Aware
One thing I realized while building this:
“Project-aware” wasn’t precise enough.
A lot of work happens inside projects:
● nested backend folders
● monorepos
● temporary workspaces
● isolated environments
So Termim now scopes history to your actual directory context, not project root.
That means:
● cleaner recall
● less irrelevant history
● less searching through noise
● What Changed Recently
● Binary-First Installers
Here's What Changed Recently
Binary-First Installers
Installers were rewritten for:
● Bash
● Zsh
● Fish
● PowerShell
Instead of forcing local builds, Termim now downloads the correct Rust binary automatically.
Also added:
● SHA256 checksum verification
● idempotent installs
● instant activation on Windows
● In-Memory Secret Redaction
In-Memory Secret Redaction
This became important pretty quickly.
Termim now scrubs sensitive data before history is written:
● API keys
● JWTs
● passwords
● tokens
The filtering happens in-memory, so secrets never touch disk history.
Still Zero-Daemon
One thing I wanted to preserve from day one:
No background services.
Termim stays lightweight:
● no daemon
● low latency
● Rust-native execution
● minimal overhead
The shell should still feel fast.
Cross-Shell Parity
Behavior is now consistent across:
● Bash
● Zsh
● Fish
● PowerShell
The core interaction model is:
↑ → your directory history↓ → predicted next commandsOne Unexpected Thing
The most useful feedback I got wasn’t praise.
It was people saying:
“I still don’t understand what this actually does.”And honestly, they were right.
That feedback forced me to explain the product more concretely, which ended up improving the direction of the project itself.
The real value of Termim isn’t “AI workflow optimization.”
It’s much simpler:
keeping terminal history relevant to where you actually are.
Architecture & Internals
I also added a detailed
ARCHITECTURE.md covering:● state management
● locking
● prediction flow
● shell integration
● execution model
For anyone interested in the internals.
GitHub: https://github.com/akhtarx/termim
Still early. Still refining.
But the direction feels much clearer now.
via DEV Community: rust (author: Md Mim Akhtar)
Introducing Octomind: an Open-Source AI Agent Runtime in Rust
Install agents, not frameworks.
Octomind is an open-source AI agent runtime written in Rust. One binary. 48+ pre-configured specialists. Real MCP host. No framework lock-in. Apache 2.0.
Why we built it
After a year of shipping AI-native developer tools at Muvon, we kept hitting the same walls with existing agent stacks:
● Framework lock-in. Pick LangChain, you marry Python and a graph DSL. Pick Autogen, you marry Microsoft's mental model. Pick an SDK-only path, you re-invent everything that should be infrastructure.
● Brittle long sessions. Most agents fall off a cliff once the context window saturates. Real engineering tasks take hours.
● Single-vendor lock-in. "Just use Claude" is fine until the API has a bad day, your bill triples, or a model is deprecated.
● MCP as an afterthought. Servers added at startup, not runtime. No real host primitive.
Octomind is the runtime we wanted to use. Rust because we wanted atomic writes, type safety on the critical path, and one binary that ships without a Python venv.
What you get
● 48+ specialist agents across 12 domains — engineer, DevOps, security, lawyer, doctor, finance researcher, etc. Each is a YAML manifest, not a class hierarchy. You can write your own in 20 lines.
● MCP host with dynamic registration. Add or remove MCP servers at runtime, not just at startup. This unlocks workflows where one agent installs the tools the next agent will use.
● Multi-provider, zero lock-in. 13+ providers out of the box: OpenAI, Anthropic, Google, OpenRouter, Mistral, Ollama, vLLM, plus anything that speaks the OpenAI API. Switch with one config line.
● Adaptive compression for 4+ hour sessions. A compression scheduler that watches the token budget and rewrites earlier turns into structured summaries before they fall out of context. Sessions that used to die at hour two now run overnight.
● Hard spending caps. Per-session and per-request budgets that the runtime enforces, not a comment in your README.
A quick taste
How it compares
Try it
● Docs: octomind.run/docs
● Repo: github.com/muvon/octomind
● Specialists catalog: octomind.run/tap
We'd love your feedback — issues, PRs, or just star the repo if you want to follow along. The roadmap, the docs, and every commit are in the open.
Octomind is built by Muvon Un Limited, the team behind Octocode (Rust semantic code indexer with GraphRAG) and Octobrain (persistent agent memory). We build infrastructure for AI-native developers.
via DEV Community: rust (author: Don Hardman)
Install agents, not frameworks.
Octomind is an open-source AI agent runtime written in Rust. One binary. 48+ pre-configured specialists. Real MCP host. No framework lock-in. Apache 2.0.
curl -fsSL https://octomind.run/install.sh | sh
Why we built it
After a year of shipping AI-native developer tools at Muvon, we kept hitting the same walls with existing agent stacks:
● Framework lock-in. Pick LangChain, you marry Python and a graph DSL. Pick Autogen, you marry Microsoft's mental model. Pick an SDK-only path, you re-invent everything that should be infrastructure.
● Brittle long sessions. Most agents fall off a cliff once the context window saturates. Real engineering tasks take hours.
● Single-vendor lock-in. "Just use Claude" is fine until the API has a bad day, your bill triples, or a model is deprecated.
● MCP as an afterthought. Servers added at startup, not runtime. No real host primitive.
Octomind is the runtime we wanted to use. Rust because we wanted atomic writes, type safety on the critical path, and one binary that ships without a Python venv.
What you get
● 48+ specialist agents across 12 domains — engineer, DevOps, security, lawyer, doctor, finance researcher, etc. Each is a YAML manifest, not a class hierarchy. You can write your own in 20 lines.
● MCP host with dynamic registration. Add or remove MCP servers at runtime, not just at startup. This unlocks workflows where one agent installs the tools the next agent will use.
● Multi-provider, zero lock-in. 13+ providers out of the box: OpenAI, Anthropic, Google, OpenRouter, Mistral, Ollama, vLLM, plus anything that speaks the OpenAI API. Switch with one config line.
● Adaptive compression for 4+ hour sessions. A compression scheduler that watches the token budget and rewrites earlier turns into structured summaries before they fall out of context. Sessions that used to die at hour two now run overnight.
● Hard spending caps. Per-session and per-request budgets that the runtime enforces, not a comment in your README.
A quick taste
# Run the engineer specialist on a fix
octomind run engineer "find the cause of the flaky e2e test in checkout"
# Mount an MCP server at runtime — no restart
octomind mcp add github --token=$GITHUB_TOKEN
# Swap the model on the next turn
octomind run engineer --model anthropic/claude-sonnet-4-6 "now propose the patch"
How it compares
Try it
● Docs: octomind.run/docs
● Repo: github.com/muvon/octomind
● Specialists catalog: octomind.run/tap
We'd love your feedback — issues, PRs, or just star the repo if you want to follow along. The roadmap, the docs, and every commit are in the open.
Octomind is built by Muvon Un Limited, the team behind Octocode (Rust semantic code indexer with GraphRAG) and Octobrain (persistent agent memory). We build infrastructure for AI-native developers.
via DEV Community: rust (author: Don Hardman)
Sorting Wars: Benchmarking Selection, Insertion, Gnome e Bubble Sort em 5 Linguagens
via DEV Community: rust (author: Bernardo Lebron)
via DEV Community: rust (author: Bernardo Lebron)
Telegraph
Sorting Wars: Benchmarking Selection, Insertion, Gnome e Bub…
Algoritmos quadráticos são lentos — isso todo mundo sabe. Mas o quão lentos? E a linguagem escolhida importa mais do que o algoritmo em si? Foi exatamente isso que nossa turma de Algoritmos e Estruturas de Dados I do CEFET-MG decidiu testar empiricamente.…
Data Sanitization is a Design Flaw: How Penta-V Prevents Data Pollution at the Hardware-Software Boundary
via DEV Community: rust (author: Issac Andrew | Protocol Architect)
via DEV Community: rust (author: Issac Andrew | Protocol Architect)
Telegraph
Data Sanitization is a Design Flaw: How Penta-V Prevents Dat…
Go to GitHub, search for "data cleaning library," and you will find thousands of repositories. From Pandas to Pydantic, the entire software engineering industry has been conditioned to treat data sanitization as a reactive, post-facto chore. You ingest data…
How We Built Penta-V: A Rust Kernel That Wipes Out 50% of Technical Debt in AI Pipelines Under 1ns
via DEV Community: rust (author: Issac Andrew | Protocol Architect)
via DEV Community: rust (author: Issac Andrew | Protocol Architect)
Telegraph
How We Built Penta-V: A Rust Kernel That Wipes Out 50% of Te…
Every software architect fears the same ghost: Technical Debt. We’ve all been there—choosing the quick, dirty hack over clean architecture to hit a deadline. We promise ourselves, "We’ll refactor it later." But "later" never comes. Instead, we pay compounding…
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https://en.liujiacai.net/2026/05/16/bun-rust-port/ great read
My Thoughts on Bun's Rust Rewrite | Jiacai Liu's personal website
Before we discuss Rewrite Bun in Rust, there's something that needs to be said, because no one is saying it. Bun stands where it does today because of Zig. Jarred chose Zig back then not because it was "cool," but because Zig enabled a small team to rapidly prototype a high-performance JS runtime without a GC, without a heavy runtime. Zig's low friction, direct memory manipulation, and straightforward C interop were the core reasons Bun could punch above its weight on performance with an extremely small team in its early days. The architecture, data structures, and low-level design of Bun that you see today – that was shaped by Zig.
en.liujiacai.net
via DEV Community: rust (author: david duymelinck)
My Thoughts on Bun's Rust Rewrite | Jiacai Liu's personal website
Before we discuss Rewrite Bun in Rust, there's something that needs to be said, because no one is saying it. Bun stands where it does today because of Zig. Jarred chose Zig back then not because it was "cool," but because Zig enabled a small team to rapidly prototype a high-performance JS runtime without a GC, without a heavy runtime. Zig's low friction, direct memory manipulation, and straightforward C interop were the core reasons Bun could punch above its weight on performance with an extremely small team in its early days. The architecture, data structures, and low-level design of Bun that you see today – that was shaped by Zig.
en.liujiacai.net
via DEV Community: rust (author: david duymelinck)
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Benefits of Professional Coursework Assistance
https://www.academicwriter.co.uk/termpaper-writing-service/
Improves coursework structure and organization
Helps students manage academic deadlines
Enhances research and referencing quality
Supports better academic writing standards
Reduces stress during heavy coursework periods
Provides guidance for complex assignments and topics
Get Professional Coursework Writing Assistance Today
Whether you need help with coursework research, case studies, reports, editing, or academic formatting, our professional coursework writing service is ready to provide reliable academic support tailored to your educational requirements.
via DEV Community: rust (author: Academic Writer Uk)
https://www.academicwriter.co.uk/termpaper-writing-service/
Improves coursework structure and organization
Helps students manage academic deadlines
Enhances research and referencing quality
Supports better academic writing standards
Reduces stress during heavy coursework periods
Provides guidance for complex assignments and topics
Get Professional Coursework Writing Assistance Today
Whether you need help with coursework research, case studies, reports, editing, or academic formatting, our professional coursework writing service is ready to provide reliable academic support tailored to your educational requirements.
via DEV Community: rust (author: Academic Writer Uk)
Web Developer Travis McCracken on Running Backend Services in a Monorepo
via DEV Community: rust (author: Travis McCracken Web Developer)
via DEV Community: rust (author: Travis McCracken Web Developer)
Telegraph
Web Developer Travis McCracken on Running Backend Services i…
Exploring Backend Development with Rust and Go: Insights from Web Developer Travis McCracken As a passionate web developer diving deep into the world of backend systems, I’ve come to appreciate the immense power and flexibility that languages like Rust and…
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via DEV Community: rust (author: Dissertation Online Uk)
Our professional term paper writing service is designed to provide reliable academic support for students across undergraduate and postgraduate levels. Whether you need help with topic selection, research, writing, editing, formatting, or complete term paper preparation, our experienced academic writers provide customized, well-researched solutions tailored to university requirements. Academic writing platforms commonly emphasize originality, subject expertise, and timely delivery as key features of term paper services. (dissertationonline.co.uk)
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Our Term Paper Writing Services
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We create fully customized term papers based on your topic, academic level, instructions, and university guidelines.
Research-Based Term Papers
Our writers use credible academic sources, journals, and books to produce well-structured and evidence-based papers.
Analytical & Critical Writing
We help students develop strong arguments, critical evaluation, and structured academic discussion.
Editing & Proofreading
We improve grammar, structure, clarity, referencing, formatting, and overall academic quality.
Referencing & Formatting Support
We follow major citation styles including APA, Harvard, MLA, Chicago, and IEEE as required by universities.
Many academic writing providers commonly include research support, editing, proofreading, and citation assistance as part of their term paper services. (writers.com.pk)
via DEV Community: rust (author: Dissertation Online Uk)
Why We Built a Blockchain That Can't Be Hacked by Quantum Computers — And Why We Did It Before Anyone Else
via DEV Community: rust (author: MUHAMMAD ATTAHIR)
via DEV Community: rust (author: MUHAMMAD ATTAHIR)
Telegraph
Why We Built a Blockchain That Can't Be Hacked by Quantum Co…
There is a specific moment I remember when the decision became obvious. I was reading through the archived transaction records of an early Ethereum wallet — hundreds of signed transactions, every one of them sitting permanently in the public chain. The signatures…
Why your media parsers are a 0-click attack surface (and how to harden them)
via DEV Community: rust (author: Alan West)
via DEV Community: rust (author: Alan West)
Telegraph
Why your media parsers are a 0-click attack surface (and how…
I spent last Tuesday staring at a crash dump from a fuzzing run, watching a perfectly innocent-looking image decoder eat a malformed header and write 16 bytes past the end of a heap buffer. No user interaction. No clicks. Just a file that arrived over the…
Shipping 31 Rust crates in five days: a small-LLM dev stack, in the open
via DEV Community: rust (author: Mukunda Rao Katta)
via DEV Community: rust (author: Mukunda Rao Katta)
Telegraph
Shipping 31 Rust crates in five days: a small-LLM dev stack,…
I spent the last five days publishing 31 Rust crates to crates.io. Most of them are tiny, 150 to 300 lines of code each. None of them are a framework. Each one fixes one specific thing that breaks when you point a smaller open model at a real task. This is…