D (Programming Language)
C++
Nim (programming language)
V (programming language)
Go Programming Language
Perl
Pike programming language
Crystal (programming language)
Hatica
LinearB
Waydev
GitPrime
Swarmia
Haystack Analytics
Athenian
Teamplify
Hatica equips engineering teams with work visibility dashboards, actionable insights and effective workflows to drive team productivity and engagement in remote and in-office environments alike. Free forever plans to help you get started quickly.
Features: Engineering metrics dashboards 100+ metrics from 20+ apps including Github, Jira, Slack, Zoom, Google Workplace Remote work insights Aggregated work overview, sprint and retro dashboards DORA metrics, CI/CD performance insights and code review analytics Collaboration analytics Team Goals based on dev metrics Async stand-ups and developer check-ins via Slack and Email Code quality metrics Automated Code reviews
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Till we started using Hatica, most managers had 10s of tabs open, sifted through each one, and had to piece together work to get a picture of whatโs happening at work. With Hatica, these tabs are gone, and is replaced with one app! Especially the activity dashboards that show all activity along with check-ins from our team. Practically solved all our needs!
This is a young product with ambitious plans to become a comprehensive engineering metrics platform. This means, we can expect great surprises and some room for improvement.
The founders vision is clear and it shows in every release of the product. Plus, with such frequent feature releases, they might just achieve their vision! Responsive founders make the process of reporting bugs and requesting features a breeze and actually see it implemented in the app in a blazing fast turnaround time
Hatica provides all inputs needed for an engineering team! From gauging whether work load is balanced, to understanding peopleโs actual work hours, to finally looking at code churn - Hatica provides all of these in one place! Would love to see a TV mode so that we can present these dashboards in our workforce planning meetings.
Based on our record, D (Programming Language) seems to be more popular. It has been mentiond 60 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
I've spent 2 weeks (2-4h per day) to make D language[1] version of Sciter SDK [2] Choice of AI "tooling" was by accident - typed something like "how to define copy constructor in D for custom structure" in Microsoft's Copilot in Edge browser that gives context for AI. The answer was good enough for me and so I went with it further. [1] D language HQ : https://dlang.org/. - Source: Hacker News / about 2 months ago
> Mostly, I am not really trying to compete with C/C++/Rust on speed, but I'm not going to add a GC either. So I'm somewhere in there. Out of curiosity, how would you compare the goals of Rue with something like D[0] or one of the ML-based languages such as OCaml[1]? 0 - https://dlang.org/ 1 - https://ocaml.org/. - Source: Hacker News / 7 months ago
The D language home page has something similar with a drop down with code examples https://dlang.org/. - Source: Hacker News / 12 months ago
What is this? There's a lot of red flags here. * The name "D" for a programming language was taken in 1999: https://dlang.org/. - Source: Hacker News / about 1 year ago
>For me the biggest gap in programming languages is a rust like language with a garbage collector, instead of a borrow checker. I cannot agree more that's the much needed sweet spot/Goldilock/etc. Personally I have been advocating this approach for some times. Apparently the language is already widely available and currently has stable and wide compiler support including the venerable GNU compiler suite (GDC). It... - Source: Hacker News / over 1 year ago
C++ - Has imperative, object-oriented and generic programming features, while also providing the facilities for low level memory manipulation
LinearB - LinearB delivers software leaders the insights they need to make their engineering teams better through a real-time SaaS platform. Visibility into key metrics paired with automated improvement actions enables software leaders to deliver more.
Nim (programming language) - The Nim programming language is a concise, fast programming language that compiles to C, C++ and JavaScript.
Waydev - Waydev analyzes your codebase from Github, Gitlab, Azure DevOps & Bitbucket to help you bring out the best in your engineers work.
V (programming language) - Simple, fast, safe, compiled language for developing maintainable software.
GitPrime - GitPrime uses data from any Git based code repository to give management the software engineering metrics needed to move faster and optimize work patterns.
