#rustlang — Public Fediverse posts
Live and recent posts from across the Fediverse tagged #rustlang, aggregated by home.social.
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iai-callgrind gives you deterministic, instruction-count benchmarks. The catch: it needs Valgrind, and Valgrind has zero Apple Silicon support.
Here's how I run them locally on an M-series Mac in a native arm64 container - seccomp trap and all.
#rust #rustlang #performance #benchmarking #applesilicon #valgrind
https://martinhicks.dev/articles/running-iai-callgrind-on-apple-silicon
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Zig programming language is competing with rust and go. It's a non profit and I believe they have a healthy transparent FOSS model
I like this interview of the creator @andrewrk
https://www.youtube.com/watch?v=iqddnwKF8HQ#foss #OpenSource #nostringsattached #zig #rust #rustlang #go #software #development
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Manage your life from the terminal 🔥
🕴️ **tuxedo** — A terminal todo manager with Vim-style controls
💯 Natural-language task parsing, phone capture via QR code, fuzzy command palette & instant file sync
🦀 Written in Rust & built with @ratatui_rs
⭐ GitHub: https://github.com/webstonehq/tuxedo
#rustlang #ratatui #tui #productivity #terminal #todo #cli #opensource
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You don't have to rewrite your C firmware in Rust all at once. Christian Meusel's workshop at Oxidize 2026 is about doing it incrementally - starting from build integration and FFI calls, through to third-party crates for QR generation.
🔗 https://oxidizeconf.com/sessions/integrate_rust_into_existing_embedded_c_applications
#Oxidize2026 #RustLang #EmbeddedRust #FFI #BareMetalRust #Firmware
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Working on something outside the usual AI paradigm sharing a preliminary note, not a "Eurkea".
The project (Aleph) explores whether biological organizational principles can replace neural architectures for embedded AI. No weights, no pre-training, no LLM. The core question: do the same solutions biology found over billions of years: specialization, quiescence, emergent coordination translate to digital systems?
Methodology follows Telesio's empirical approach: observation before theory, measurement before assertion. Every behavior in this post has a log file and a timestamp.
One verified result worth sharing:
Three independent components: a health monitor, a kernel, and an audio output organ — have no knowledge of each other. No shared state, no direct communication. When the watchdog process dies, the system emits a 220Hz tone. No explicit rule produces this. It emerges from composition.
This is weak emergence: predictable by reading the code. Not strong emergence. The distinction matters and we're not overstating it.
Current stack: Rust, Alpine Linux, SQLite, Unix sockets. Hardware: Dell Inspiron i5, 3.7GB RAM. ~452KB binary binary. ~39°C at rest.
What we don't know yet: whether this approach scales, whether the Bayesian learning converges usefully, whether the biological clock model holds across real day/night cycles.
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Working on something outside the usual AI paradigm sharing a preliminary note, not a "Eurkea".
The project (Aleph) explores whether biological organizational principles can replace neural architectures for embedded AI. No weights, no pre-training, no LLM. The core question: do the same solutions biology found over billions of years: specialization, quiescence, emergent coordination translate to digital systems?
Methodology follows Telesio's empirical approach: observation before theory, measurement before assertion. Every behavior in this post has a log file and a timestamp.
One verified result worth sharing:
Three independent components: a health monitor, a kernel, and an audio output organ — have no knowledge of each other. No shared state, no direct communication. When the watchdog process dies, the system emits a 220Hz tone. No explicit rule produces this. It emerges from composition.
This is weak emergence: predictable by reading the code. Not strong emergence. The distinction matters and we're not overstating it.
Current stack: Rust, Alpine Linux, SQLite, Unix sockets. Hardware: Dell Inspiron i5, 3.7GB RAM. ~452KB binary binary. ~39°C at rest.
What we don't know yet: whether this approach scales, whether the Bayesian learning converges usefully, whether the biological clock model holds across real day/night cycles.
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Working on something outside the usual AI paradigm sharing a preliminary note, not a "Eurkea".
The project (Aleph) explores whether biological organizational principles can replace neural architectures for embedded AI. No weights, no pre-training, no LLM. The core question: do the same solutions biology found over billions of years: specialization, quiescence, emergent coordination translate to digital systems?
Methodology follows Telesio's empirical approach: observation before theory, measurement before assertion. Every behavior in this post has a log file and a timestamp.
One verified result worth sharing:
Three independent components: a health monitor, a kernel, and an audio output organ — have no knowledge of each other. No shared state, no direct communication. When the watchdog process dies, the system emits a 220Hz tone. No explicit rule produces this. It emerges from composition.
This is weak emergence: predictable by reading the code. Not strong emergence. The distinction matters and we're not overstating it.
Current stack: Rust, Alpine Linux, SQLite, Unix sockets. Hardware: Dell Inspiron i5, 3.7GB RAM. ~452KB binary binary. ~39°C at rest.
What we don't know yet: whether this approach scales, whether the Bayesian learning converges usefully, whether the biological clock model holds across real day/night cycles.
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Working on something outside the usual AI paradigm sharing a preliminary note, not a "Eurkea".
The project (Aleph) explores whether biological organizational principles can replace neural architectures for embedded AI. No weights, no pre-training, no LLM. The core question: do the same solutions biology found over billions of years: specialization, quiescence, emergent coordination translate to digital systems?
Methodology follows Telesio's empirical approach: observation before theory, measurement before assertion. Every behavior in this post has a log file and a timestamp.
One verified result worth sharing:
Three independent components: a health monitor, a kernel, and an audio output organ — have no knowledge of each other. No shared state, no direct communication. When the watchdog process dies, the system emits a 220Hz tone. No explicit rule produces this. It emerges from composition.
This is weak emergence: predictable by reading the code. Not strong emergence. The distinction matters and we're not overstating it.
Current stack: Rust, Alpine Linux, SQLite, Unix sockets. Hardware: Dell Inspiron i5, 3.7GB RAM. ~452KB binary binary. ~39°C at rest.
What we don't know yet: whether this approach scales, whether the Bayesian learning converges usefully, whether the biological clock model holds across real day/night cycles.
-
Working on something outside the usual AI paradigm sharing a preliminary note, not a "Eurkea".
The project (Aleph) explores whether biological organizational principles can replace neural architectures for embedded AI. No weights, no pre-training, no LLM. The core question: do the same solutions biology found over billions of years: specialization, quiescence, emergent coordination translate to digital systems?
Methodology follows Telesio's empirical approach: observation before theory, measurement before assertion. Every behavior in this post has a log file and a timestamp.
One verified result worth sharing:
Three independent components: a health monitor, a kernel, and an audio output organ — have no knowledge of each other. No shared state, no direct communication. When the watchdog process dies, the system emits a 220Hz tone. No explicit rule produces this. It emerges from composition.
This is weak emergence: predictable by reading the code. Not strong emergence. The distinction matters and we're not overstating it.
Current stack: Rust, Alpine Linux, SQLite, Unix sockets. Hardware: Dell Inspiron i5, 3.7GB RAM. ~452KB binary binary. ~39°C at rest.
What we don't know yet: whether this approach scales, whether the Bayesian learning converges usefully, whether the biological clock model holds across real day/night cycles.
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I just made it to Fireship! 🤯
🐀 Ratty terminal was featured in "10 weird OSS projects you need to know about"
🧀 A GPU-rendered terminal emulator with inline 3D graphics
🦀 https://ratty-term.org▶️ Watch it here: https://www.youtube.com/watch?v=qPuzWFvRajk
**#rustlang** **#ratatui** **#ratty** **#opensource** **#terminal** **#3d** **#fireship**
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I just made it to Fireship! 🤯
🐀 Ratty terminal was featured in "10 weird OSS projects you need to know about"
🧀 A GPU-rendered terminal emulator with inline 3D graphics
🦀 https://ratty-term.org▶️ Watch it here: https://www.youtube.com/watch?v=qPuzWFvRajk
**#rustlang** **#ratatui** **#ratty** **#opensource** **#terminal** **#3d** **#fireship**
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I just made it to Fireship! 🤯
🐀 Ratty terminal was featured in "10 weird OSS projects you need to know about"
🧀 A GPU-rendered terminal emulator with inline 3D graphics
🦀 https://ratty-term.org▶️ Watch it here: https://www.youtube.com/watch?v=qPuzWFvRajk
**#rustlang** **#ratatui** **#ratty** **#opensource** **#terminal** **#3d** **#fireship**
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I just made it to Fireship! 🤯
🐀 Ratty terminal was featured in "10 weird OSS projects you need to know about"
🧀 A GPU-rendered terminal emulator with inline 3D graphics
🦀 https://ratty-term.org▶️ Watch it here: https://www.youtube.com/watch?v=qPuzWFvRajk
**#rustlang** **#ratatui** **#ratty** **#opensource** **#terminal** **#3d** **#fireship**
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I just made it to Fireship! 🤯
🐀 Ratty terminal was featured in "10 weird OSS projects you need to know about"
🧀 A GPU-rendered terminal emulator with inline 3D graphics
🦀 https://ratty-term.org▶️ Watch it here: https://www.youtube.com/watch?v=qPuzWFvRajk
**#rustlang** **#ratatui** **#ratty** **#opensource** **#terminal** **#3d** **#fireship**
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@mre Oh wow, this is soooo good! :awesome:
I've just done a search on "smol" and all the relevant resources have popped up (especially blog posts by notgull).
This is so much needed in the era of #LLM slop content flooding everything and making normal search engines unusable.
Thank you so much for this, Matthias! ❤️
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@mre Oh wow, this is soooo good! :awesome:
I've just done a search on "smol" and all the relevant resources have popped up (especially blog posts by notgull).
This is so much needed in the era of #LLM slop content flooding everything and making normal search engines unusable.
Thank you so much for this, Matthias! ❤️
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@mre Oh wow, this is soooo good! :awesome:
I've just done a search on "smol" and all the relevant resources have popped up (especially blog posts by notgull).
This is so much needed in the era of #LLM slop content flooding everything and making normal search engines unusable.
Thank you so much for this, Matthias! ❤️
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@mre Oh wow, this is soooo good! :awesome:
I've just done a search on "smol" and all the relevant resources have popped up (especially blog posts by notgull).
This is so much needed in the era of #LLM slop content flooding everything and making normal search engines unusable.
Thank you so much for this, Matthias! ❤️
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@mre Oh wow, this is soooo good! :awesome:
I've just done a search on "smol" and all the relevant resources have popped up (especially blog posts by notgull).
This is so much needed in the era of #LLM slop content flooding everything and making normal search engines unusable.
Thank you so much for this, Matthias! ❤️
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Today we will talk about the future of terminals at "Terminal Tuesdays" podcast! 📢
🎙️ Today's guest: Raphael Amorim (@mustache) - the creator of Rio terminal
📅 19:00 CET
📍 Join our Discord: https://terminalcollective.org/
▶️ YouTube: https://www.youtube.com/@TerminalCollectiveOrg -
Terminal pixel-art office for coding agents 😍
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Terminal pixel-art office for coding agents 😍
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Terminal pixel-art office for coding agents 😍
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Terminal pixel-art office for coding agents 😍
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Terminal pixel-art office for coding agents 😍
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RE: https://social.troll.academy/@clonejo/116637115628528203
hashtag-importer, my tool to import hashtags into your own instance is famous now: @clonejo did a comparison with his own tool (also written in Rust 🦀) which uses a similar approach. Do give it a try to see if it matches your needs!
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RE: https://social.troll.academy/@clonejo/116637115628528203
hashtag-importer, my tool to import hashtags into your own instance is famous now: @clonejo did a comparison with his own tool (also written in Rust 🦀) which uses a similar approach. Do give it a try to see if it matches your needs!
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RE: https://social.troll.academy/@clonejo/116637115628528203
hashtag-importer, my tool to import hashtags into your own instance is famous now: @clonejo did a comparison with his own tool (also written in Rust 🦀) which uses a similar approach. Do give it a try to see if it matches your needs!
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RE: https://social.troll.academy/@clonejo/116637115628528203
hashtag-importer, my tool to import hashtags into your own instance is famous now: @clonejo did a comparison with his own tool (also written in Rust 🦀) which uses a similar approach. Do give it a try to see if it matches your needs!
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RE: https://social.troll.academy/@clonejo/116637115628528203
hashtag-importer, my tool to import hashtags into your own instance is famous now: @clonejo did a comparison with his own tool (also written in Rust 🦀) which uses a similar approach. Do give it a try to see if it matches your needs!
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Greg KH Calls For More Rust Linux Developers (phoronix.com)
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InterpN is getting B-splines, and a 3x speedup at the same time!
Implementing B-splines exposed some opportunities for optimizations in the existing cubic Hermite methods, especially for larger data. Now, all InterpN cubic methods, both Hermite and B-spline, are at least 3x faster than scipy even asymptotically for large data, and >10x faster for latency-dominated small samples.
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I spent most of this year so far figuring out possible designs to solve those problems.
RustWeek + All Hands were phenomenally useful! I worked w/ rustdoc, types, compiler, cargo, and other folks to poke holes in the designs and then patch them.
Thank you @rustnl for making it happen!
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I spent most of this year so far figuring out possible designs to solve those problems.
RustWeek + All Hands were phenomenally useful! I worked w/ rustdoc, types, compiler, cargo, and other folks to poke holes in the designs and then patch them.
Thank you @rustnl for making it happen!
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I spent most of this year so far figuring out possible designs to solve those problems.
RustWeek + All Hands were phenomenally useful! I worked w/ rustdoc, types, compiler, cargo, and other folks to poke holes in the designs and then patch them.
Thank you @rustnl for making it happen!
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I spent most of this year so far figuring out possible designs to solve those problems.
RustWeek + All Hands were phenomenally useful! I worked w/ rustdoc, types, compiler, cargo, and other folks to poke holes in the designs and then patch them.
Thank you @rustnl for making it happen!
-
I spent most of this year so far figuring out possible designs to solve those problems.
RustWeek + All Hands were phenomenally useful! I worked w/ rustdoc, types, compiler, cargo, and other folks to poke holes in the designs and then patch them.
Thank you @rustnl for making it happen!
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🚀 Ah, the dream of turning off Rust's borrow checker—because nothing says "I'm a coding genius" like breaking one of the language's core features for a laugh. 😂 But never fear, the "youcan" crate's here to let you shoot yourself in the foot with both barrels! 💥
https://docs.rs/you-can/latest/you_can/attr.turn_off_the_borrow_checker.html #RustLang #YouCan #Crate #CodingHumor #BorrowChecker #ProgrammingJokes #HackerNews #ngated -
Found a TUI for debugging shell pipelines 🔥
🧪 **rura** — A terminal scratchpad for iterating on shell commands
💯 Live previews, partial pipeline execution, regex search, syntax highlighting & history
🦀 Written in Rust & built with @ratatui_rs
⭐ GitHub: https://github.com/tlipinski/rura
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Found a TUI for debugging shell pipelines 🔥
🧪 **rura** — A terminal scratchpad for iterating on shell commands
💯 Live previews, partial pipeline execution, regex search, syntax highlighting & history
🦀 Written in Rust & built with @ratatui_rs
⭐ GitHub: https://github.com/tlipinski/rura
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Found a TUI for debugging shell pipelines 🔥
🧪 **rura** — A terminal scratchpad for iterating on shell commands
💯 Live previews, partial pipeline execution, regex search, syntax highlighting & history
🦀 Written in Rust & built with @ratatui_rs
⭐ GitHub: https://github.com/tlipinski/rura
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Found a TUI for debugging shell pipelines 🔥
🧪 **rura** — A terminal scratchpad for iterating on shell commands
💯 Live previews, partial pipeline execution, regex search, syntax highlighting & history
🦀 Written in Rust & built with @ratatui_rs
⭐ GitHub: https://github.com/tlipinski/rura
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Found a TUI for debugging shell pipelines 🔥
🧪 **rura** — A terminal scratchpad for iterating on shell commands
💯 Live previews, partial pipeline execution, regex search, syntax highlighting & history
🦀 Written in Rust & built with @ratatui_rs
⭐ GitHub: https://github.com/tlipinski/rura
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Fuzzing finds bugs in Rust code - reliably so. But async Rust has largely stayed out of reach with its complexity making it hard for fuzzers to explore meaningfully.
At Oxidize 2026, Morgan Hill (@pcwizz) walks through what it takes to actually fuzz async Rust: the naive approaches that don't work, and an involved technique that does - involving LibAFL, user mode QEMU, and a fair amount of head scratching.
🔗 https://oxidizeconf.com/sessions/awaiting_exploitation
#Oxidize2026 #RustLang #Fuzzing #SecurityResearch #AsyncRust
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Fuzzing finds bugs in Rust code - reliably so. But async Rust has largely stayed out of reach with its complexity making it hard for fuzzers to explore meaningfully.
At Oxidize 2026, Morgan Hill (@pcwizz) walks through what it takes to actually fuzz async Rust: the naive approaches that don't work, and an involved technique that does - involving LibAFL, user mode QEMU, and a fair amount of head scratching.
🔗 https://oxidizeconf.com/sessions/awaiting_exploitation
#Oxidize2026 #RustLang #Fuzzing #SecurityResearch #AsyncRust
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Fuzzing finds bugs in Rust code - reliably so. But async Rust has largely stayed out of reach with its complexity making it hard for fuzzers to explore meaningfully.
At Oxidize 2026, Morgan Hill (@pcwizz) walks through what it takes to actually fuzz async Rust: the naive approaches that don't work, and an involved technique that does - involving LibAFL, user mode QEMU, and a fair amount of head scratching.
🔗 https://oxidizeconf.com/sessions/awaiting_exploitation
#Oxidize2026 #RustLang #Fuzzing #SecurityResearch #AsyncRust
-
Fuzzing finds bugs in Rust code - reliably so. But async Rust has largely stayed out of reach with its complexity making it hard for fuzzers to explore meaningfully.
At Oxidize 2026, Morgan Hill (@pcwizz) walks through what it takes to actually fuzz async Rust: the naive approaches that don't work, and an involved technique that does - involving LibAFL, user mode QEMU, and a fair amount of head scratching.
🔗 https://oxidizeconf.com/sessions/awaiting_exploitation
#Oxidize2026 #RustLang #Fuzzing #SecurityResearch #AsyncRust
-
Fuzzing finds bugs in Rust code - reliably so. But async Rust has largely stayed out of reach with its complexity making it hard for fuzzers to explore meaningfully.
At Oxidize 2026, Morgan Hill (@pcwizz) walks through what it takes to actually fuzz async Rust: the naive approaches that don't work, and an involved technique that does - involving LibAFL, user mode QEMU, and a fair amount of head scratching.
🔗 https://oxidizeconf.com/sessions/awaiting_exploitation
#Oxidize2026 #RustLang #Fuzzing #SecurityResearch #AsyncRust
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«Scaling Rust codebases: Lessons learned organizing large projects and managing errors»
Puh... yes, I'm still learning about that…
🦀 https://kerkour.com/rust-organize-large-projects-code-error-handling
#rustlang #coding #learning #rust #learning #largeproj #large #mang #errors
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«Scaling Rust codebases: Lessons learned organizing large projects and managing errors»
Puh... yes, I'm still learning about that…
🦀 https://kerkour.com/rust-organize-large-projects-code-error-handling
#rustlang #coding #learning #rust #learning #largeproj #large #mang #errors