Real users hit ML endpoints with unpredictable inputs. InferProbe lets you simulate that locally — no sanitized tests. What's one unpredictable scenario you wish you could test more easily?
devtools
Woah, this is super useful 😍
🌀 **rgx** — TUI regex tester with real-time matching
💯 Supports multiple engines (Rust, fancy-regex, PCRE2) with live previews
🚀 Syntax highlighting, plain-English explanations, undo/redo, mouse support
🦀 Written in Rust & built with @ratatui_rs
⭐ GitHub: https://github.com/brevity1swos/rgx
#rustlang #ratatui #tui #regex #terminal #devtools #programming #opensource
DirectX: Bringing Console-Level Developer Tools to Windows
https://devblogs.microsoft.com/directx/directx-bringing-console-level-developer-tools-to-windows/
Most AI-generated commit messages are useless 🤖❌
As Daniel Siegl points out, most AI tools today just read the diff & summarize the obvious. They tell you what changed, which you can already see in the code.
But what if instead of just generating text, the LLM validates the commit. Does this code actually solve the problem?
How often do you catch commits that have absolutely nothing to do with the Jira ticket they are linked to? 👇
ML endpoints in the wild see messy inputs: noise, typos, adversarial tricks. InferProbe simulates that mess locally. What's the most chaotic real input you've had to test?
Software Engineering Radio 711: Scott Hanselman on AI-Assisted Development Tools
https://se-radio.net/2026/03/se-radio-711-scott-hanselman-on-ai-assisted-development-tools/
InferProbe wants to let ML engineers test endpoints without fear — local, private, cheap. Perturbations + explanations on your machine. What one barrier is holding back your testing right now?
Jupiter stationed direct in Cancer today. I've been calling this 'the planning phase.' 11 agents, one pipeline, and nothing would quite click. Today it did. Orbit ran clean. Reply-analyst agent shipping this week.
Many ML models look great in dev but drift and fail in production. InferProbe lets you test for drift locally before it becomes a problem. Have you ever had a model break after going live?
Air Launches as Public Preview – A New Wave of Dev Tooling Built on 26 Years of Experience
ML endpoints in production see messy inputs: noise, adversarial attacks, typos. InferProbe simulates all of it locally. What's the most chaotic real input you've had to debug? #MachineLearning #ArtificialIntelligence #DevTools #ML #AI
If you're working with GitHub PR reviews, I can't recommend these two tools enough:
https://github.com/dlvhdr/gh-dash — a beautiful TUI dashboard for your PRs
https://github.com/dlvhdr/diffnav — the most comfortable diff navigation you'll find
Pair them together by changing the settings of gh-dash like this:
```
pager:
diff: "diffnav"
```
And your terminal becomes the best place to review code.
#devops #opensource #devtools
Edited 5d ago
Want to transcribe speech locally from your terminal? 👀
🎙️ **scriptor** — Real-time speech-to-text CLI & TUI
💯 Speak into your mic and get instant transcription. Fully local, no cloud!
🦀 Written in Rust & built with @ratatui_rs
⭐ GitHub: https://github.com/giacomopiccinini/scriptor
#rustlang #ratatui #tui #speech #terminal #transcription #devtools
InferProbe wants to move ML debugging from reactive to proactive: local aggressive testing + clear anomaly explanations. What one thing would help you ship ML features faster and safer?
If you're not stress-testing ML endpoints for hallucinations, you're shipping with unknown risk. InferProbe will provoke and explain them locally. What's the most surprising hallucination you've seen?
ML engineers often limit test coverage to control cloud costs or protect data. InferProbe removes that limit — aggressive perturbation testing happens locally. What edge case do you under-test right now?
AI-First Software Delivery is here — but what makes it sustainable? 🌐
At #ArcofAI, Wesley Reisz explores how spec-driven development and verification checkpoints keep agentic workflows scalable, auditable & trustworthy.
https://www.arcofai.com/speaker/7d1e0ac0820b49f0ac378365a185de1c
🎟️ Get tickets: https://arcofai.com
#AI #SoftwareDevelopment #AIFirst #AgenticAI #DevTools #DeveloperTools #TechConference #SpecDrivenDevelopment #EngineeringLeadership
Because we rely heavily on cloud to host our #code, it’s easy to think of them as the absolute source of truth.
But structurally? Git doesn't care about the cloud ☁️🚫
Every time you clone a #Git repo, you are downloading a full-fledged, 100% complete backup of the entire project history.
#SmartGit embraces this local-first power, giving you full control over your repo whether you have a Wi-Fi or not.
Have you ever had to keep working entirely offline during a server outage? 🌍💻
Open source maintainers are going to love this 😍
🐙 **gitv** — A terminal viewer for GitHub issues
⚡ Browse threads, react, edit comments, manage labels & close issues.
🦀 Written in Rust & built with @ratatui_rs
⭐ GitHub: https://github.com/jayanaxhf/gitv
🔧 Meet mise - a multi-purpose dev tool that handles:
• Tool installation (with version pinning!)
• Task running (like make/just)
• Environment variable management
Install specific versions effortlessly: mise use helm@3
Works seamlessly across macOS & Linux. Perfect for managing project-specific toolchains!
Read my post: https://blog.bitfoo.de/tools/mise/
#DevOps #linux #macos #engineering #tools #development #sysadmin #rust #cli #mise #DevTools #opensource #Softwaredevelopment #programming @jdx
RE: https://corteximplant.com/@kaiserkiwi/116115659776127177
PyCharm and other IntelliJ-based IDEs have similar problems. I attributed them to my base model m1 MacBook Air, but maybe it’s a software problem.
Adding AI for code generation is easy.
The real edge comes when you also upgrade how you manage branches, review changes, resolve conflicts, and keep a clean #Git history.
That’s exactly where SmartGit shines — giving you professional visual control so you can focus on judgment, not just execution.
Are you rethinking your full dev workflow in 2026, or just bolting on new tools?
What’s one change you’ve made to your Git process lately? 👇
#SmartGit #DeveloperProductivity #AI #DevTools
Ever spent hours fighting a bug that was literally invisible? 👻
On macOS, identical filenames can actually be different byte sequences (NFC vs NFD Unicode). It looks the same to you but it breaks your Git index.
SmartGit handles the deep digging into hex sequences so you don't have to.
Have you ever lost an afternoon to a bug that was literally invisible? Let’s hear your favorite "ghost" story in the comments 👇
#DevLife #MacOS #GitTips #DevTools #Git #SmartGit
Hello #Fediverse
I'm building pokedev.ch, a tool designed to help developers and architects navigate tech stacks and analyze tool characteristics.
The project is in its structural consolidation phase, and I’ve reached the limits of my current expertise in ontology and data schemas. I need your help to make it a professional-grade tool.
The Current State:
Cards & Raw Data: The foundation of the project. I'm still refining the ontology to ensure data consistency.
The Builder: A UI to compose stacks, currently under heavy development.
The Oracle: A logic engine (using miniKanren) to analyze relationships between cards and provide insights.
I'm looking for advice from:
- Software Architects: To review my schemas and recommendation logic.
- Data Engineers: To help refine the technology ontology.
- Specialists in languages like #Ada, #Rust, #C, or #Python to validate our tech cards.
If you have a few minutes to check https://www.pokedev.ch and give me some feedback on the structure, it would be invaluable!
#SoftwareArchitecture #BuildInPublic #DevTools #SystemDesign #OpenSource #PokeDev