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AI Jobs and Career
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- Full Stack Engineer [$150K-$220K]
- Software Engineer, Tooling & AI Workflow, Contract [$90/hour]
- DevOps Engineer, India, Contract [$90/hour]
- More AI Jobs Opportunitieshere
| Job Title | Status | Pay |
|---|---|---|
| Full-Stack Engineer | Strong match, Full-time | $150K - $220K / year |
| Developer Experience and Productivity Engineer | Pre-qualified, Full-time | $160K - $300K / year |
| Software Engineer - Tooling & AI Workflows (Contract) | Contract | $90 / hour |
| DevOps Engineer (India) | Full-time | $20K - $50K / year |
| Senior Full-Stack Engineer | Full-time | $2.8K - $4K / week |
| Enterprise IT & Cloud Domain Expert - India | Contract | $20 - $30 / hour |
| Senior Software Engineer | Contract | $100 - $200 / hour |
| Senior Software Engineer | Pre-qualified, Full-time | $150K - $300K / year |
| Senior Full-Stack Engineer: Latin America | Full-time | $1.6K - $2.1K / week |
| Software Engineering Expert | Contract | $50 - $150 / hour |
| Generalist Video Annotators | Contract | $45 / hour |
| Generalist Writing Expert | Contract | $45 / hour |
| Editors, Fact Checkers, & Data Quality Reviewers | Contract | $50 - $60 / hour |
| Multilingual Expert | Contract | $54 / hour |
| Mathematics Expert (PhD) | Contract | $60 - $80 / hour |
| Software Engineer - India | Contract | $20 - $45 / hour |
| Physics Expert (PhD) | Contract | $60 - $80 / hour |
| Finance Expert | Contract | $150 / hour |
| Designers | Contract | $50 - $70 / hour |
| Chemistry Expert (PhD) | Contract | $60 - $80 / hour |
Is Google’s Carbon Programming language the Right Successor to C++?
For years, C++ has been the go-to language for high-performance systems programming. But with the rise of multicore processors and GPUs, the need for a language that can take advantage of parallelism has never been greater. Enter Carbon, Google’s answer to the problem. But is it the right successor to C++?
Google has been in the news a lot lately for their new programming language, Carbon. It’s being billed as the successor to C++, but is it really? Let’s take a closer look.
On the surface, Carbon and C++ have a lot in common. They’re both statically typed, object-oriented languages with a focus on performance. They both have a learning curve, but once you know them, you can write code that is both readable and maintainable. However, there are some key differences that make Carbon a more attractive option for modern programmers.
For one, Carbon is garbage collected. This means that you don’t have to worry about manually managing memory, which can be a pain in C++. Carbon also has better support for concurrency than C++. With the rise of multicore processors, this is an important consideration. Finally, Carbon has a more modern standard library than C++. This includes features like string interpolation and pattern matching that make common tasks easier to accomplish.
According to Terry Lambert, Carbon Programming language is probably not the successor of C++. His reason are:
“Single inheritance is a deal-breaker for me, even though the eC++ utilized by IOKit in macOS and iOS has the same restrictions.
Although it specifies stronger type enforcement, which would — in theory — also eliminate RTTI and the reflection, which eC++ has historically eliminated as well, it’s doing it via expression-defined typing, rather than explicitly eliminating it. I expect that it would also prevent use of dynamic_cast, although that’s not explicitly called out.
Let’s see if Linus approves of someone compiling the Linux kernel with Carbon, and then starting to add Carbon syntax code, into that port of Linux.”
On the surface, Carbon seems like a great choice to replace C++. It is designed to be more reliable and easier to use than C++. In addition, it is faster and can be used for a variety of applications. However, there are some drawbacks to using Carbon. First, it is not compatible with all operating systems. Second, it does not have all of the features of C++. Third, it is not as widely used as C++. Finally, it is still in development and has not been released yet.
These drawbacks may seem like deal breakers, but they don’t necessarily mean that Carbon is not the right successor to C++. First, while Carbon is not compatible with all operating systems, it is compatible with the most popular ones. Second, while it does not have all of the features of C++, it has the most important ones. Third, while it is not as widely used as C++, it is gaining popularity rapidly. Finally, while it is still in development, it is expected to be released soon.
What Is Carbon?
Carbon is a statically typed systems programming language developed by Google. It is based on C++ and shares a similar syntax. However, Carbon introduces several new features that make it better suited for parallelism. For example, Carbon provides first-class support for threads and synchronization primitives. It also offers a number of built-in data structures that are designed for concurrent access. Finally, Carbon comes with a toolchain that makes it easy to build and debug parallel programs.
Why Was Carbon Created?
Google’s primary motivation for developing Carbon was to improve the performance of its search engine. To do this, they needed a language that could take advantage of multicore processors and GPUs. C++ was not well suited for this purpose because it lacked support for threading and synchronization. As a result, Google decided to create their own language that would be purpose-built for parallelism.
Is Carbon The Right Successor To C++?
In many ways, yes. Carbon addresses many of the shortcomings of C++ when it comes to parallelism. However, there are some drawbacks. First, Carbon is still in its infancy and lacks many of the features and libraries that have made C++ so popular over the years. Second, because it is designed specifically for parallelism, it may be less suitable for other purposes such as embedded systems programming or network programming. Overall, though, Carbon looks like a promising successor to C++ and is worth keeping an eye on in the future.
Conclusion:
So, is Google’s new Carbon programming language the right successor to C++? We think that Google’s Carbon programming language has the potential to be a great successor to C++.
With its garbage collection, better support for concurrency, and modern standard library, Carbon has everything that today’s programmer needs.
It is designed to be more reliable and easier to use than its predecessor. In addition, it is faster and can be used for a variety of applications. However, there are some drawbacks to using Carbon that should be considered before making the switch from C++.
So if you’re looking for a new language to learn, we recommend giving Carbon a try.
Programming paradigms 2022-2023
Programming paradigms are a way to classify programming languages based on their features. Languages can be classified into multiple paradigms.
Some paradigms are concerned mainly with implications for the execution model of the language, such as allowing side effects, or whether the sequence of operations is defined by the execution model. Other paradigms are concerned mainly with the way that code is organized, such as grouping a code into units along with the state that is modified by the code. Yet others are concerned mainly with the style of syntax and grammar.
Common programming paradigms include:
- imperative in which the programmer instructs the machine how to change its state,
- procedural which groups instructions into procedures,
- object-oriented which groups instructions with the part of the state they operate on,
- declarative in which the programmer merely declares properties of the desired result, but not how to compute it
- functional in which the desired result is declared as the value of a series of function applications,
- logic in which the desired result is declared as the answer to a question about a system of facts and rules,
- mathematical in which the desired result is declared as the solution of an optimization problem
- reactive in which the desired result is declared with data streams and the propagation of change
Six programming paradigms that will change how you think about coding
Practice Carbon Programming Language at Hackerrank or LeetCode or FreeCodeCamp
Leetcode and HackerRank coding tests don’t work in developer interviews.
Here’s the proof:
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Research has shown that work sample tests are VERY effective at determining if someone will we a good fit for a job. But here’s the problem: Work sample tests require applicants to perform tasks or work activities that mirror the tasks employees perform on the job.
When was the last time you had to “reverse an integer” or “find the longest substring without repeating characters”. These types of tests don’t mirror the tasks that software developers perform on the job.
AI- Powered Jobs Interview Warmup For Job Seekers
⚽️Comparative Analysis: Top Calgary Amateur Soccer Clubs – Outdoor 2025 Season (Kids' Programs by Age Group)
It’s like testing an architect by having them build a house out of playing cards. Leetcode problems are just brain teasers.
If you want to administer a work sample test, have them do a code review, build a tiny feature in your product, or read and explain some part of your product code. (Every developer knows 90% of your time is spent reading code.)
AI Jobs and Career
And before we wrap up today's AI news, I wanted to share an exciting opportunity for those of you looking to advance your careers in the AI space. You know how rapidly the landscape is evolving, and finding the right fit can be a challenge. That's why I'm excited about Mercor – they're a platform specifically designed to connect top-tier AI talent with leading companies. Whether you're a data scientist, machine learning engineer, or something else entirely, Mercor can help you find your next big role. If you're ready to take the next step in your AI career, check them out through my referral link: https://work.mercor.com/?referralCode=82d5f4e3-e1a3-4064-963f-c197bb2c8db1. It's a fantastic resource, and I encourage you to explore the opportunities they have available.
Developers are tired of Leetcode interviews. It’s time to stop wasting everyone’s time.
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Malbolge 2022 2023
RegEx is just Malbolge for Strings:
What is the hardest programming language? For me, I say C++, C, and Malbolge. Out of all of these, Malbolge is the hardest
Replit Mobile App: Code on Android and iOS.
Z-Library. The world’s largest ebook library
Top 50 Programming Languages Ranked by the Number of Influenced Languages
Programming Breaking News and Quiz
- Plan Cache Behavior in SQL Server
by Alexander Obregon (Programming on Medium) on April 20, 2026 at 6:51 pmStored procedures can run fast on one call and then slow down on the next, even if the T-SQL text stays exactly the same. SQL Server…Continue reading on Medium »
- Construyendo Aplicaciones Móviles Offline-First: Guía de un Principal Engineer hacia la Resiliencia
by Oscar Dennis Carantón Sánchez (Programming on Medium) on April 20, 2026 at 6:47 pmEn un mundo donde la conectividad se da por sentada, como arquitectos debemos recordar una verdad fundamental: La conectividad es un lujo…Continue reading on Casual Snack Reviews »
- Monday Grind Blueprint #4: 1:45AM, Alarm Set for 4AM, and a New RAM Optimizer
by Marcin Firmuga (Programming on Medium) on April 20, 2026 at 6:38 pmIt’s 1:44AM. My alarm is set for 4 AM. I should be asleep.Continue reading on Medium »
- The Thuban Resurrection: Why I’m Still Obsessed With a 15-Year-Old Six-Core Beast
by Hassanalisardar (Programming on Medium) on April 20, 2026 at 6:32 pmStop chasing the “Newest” and start chasing the “Purest.” Here is how to house the legendary AMD Phenom II X6 1055T.Continue reading on Medium »
- Why Programming Became the Proving Ground for AI
by Sean Falconer (Programming on Medium) on April 20, 2026 at 6:30 pmAI thrives in programming due to fast, objective feedback; other industries must build similar systems to make AI reliable at scale.Continue reading on Medium »
- Your Next Programming Language Might Be a Chess Game
by Pavao Zornija (Programming on Medium) on April 20, 2026 at 6:26 pmBoardLang turns legal chess moves into executable code — and uses the board itself as a weird, wonderful kind of memory.Continue reading on Medium »
- Rust Vs C: We Benchmarked The Same Parser At 8M Ops/sec — C Won Speed, Rust Won Productionby The Thread Whisperer (Programming on Medium) on April 20, 2026 at 6:16 pm
Our fastest service crashed in production because of one byte. Nobody caught it in code review.Continue reading on Medium »
- From Code to Communityby Beweb3 (Programming on Medium) on April 20, 2026 at 6:10 pm
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- A2A Protocol: Cross-Company Agent Collaboration
by Matteo Gazzurelli (Programming on Medium) on April 20, 2026 at 6:09 pmGoogle ADK: From 0 to Agentic AI — Part 8Continue reading on Medium »
- I Built a $0 Search Engine on Real Web Data (No Algolia or Elasticsearch)
by Prithwish Nath (Programming on Medium) on April 20, 2026 at 6:08 pmI got tired of grepping through JSON. So I built a local search index over live Google data using Python, Typesense, and Bright Data —…Continue reading on Python in Plain English »
- Streaming My Hard Drive to the Worldby /u/PulseBeat_02 (programming) on April 20, 2026 at 5:45 pm
submitted by /u/PulseBeat_02 [link] [comments]
- 🏆 THE ULTIMATE HIGH SCORE CHALLENGE! 🏆by /u/Technical-Edge4656 (programming) on April 20, 2026 at 5:39 pm
submitted by /u/Technical-Edge4656 [link] [comments]
- A leaky analogy for incident managementby /u/TheGUnit (programming) on April 20, 2026 at 4:07 pm
submitted by /u/TheGUnit [link] [comments]
- What if database branching was easy?by /u/Dear-Economics-315 (programming) on April 20, 2026 at 3:59 pm
submitted by /u/Dear-Economics-315 [link] [comments]
- Flutter session replay without screen-recording permissions: architecture and benchmarksby /u/narrow-adventure (programming) on April 20, 2026 at 3:57 pm
Disclosure: I'm the author of the linked article and maintainer of the project it references. I wanted session replay in Flutter to work the way it does on the web, capture a meaningful window of time before an exception so you have visual context alongside the stack trace. Every off-the-shelf approach I tried either needed elevated OS permissions, tanked battery life, or couldn't access the Flutter widget tree for redaction. I wrote up what I tried, what I ruled out, and what actually worked, with benchmarks on real Android hardware. Hard requirements: No new OS permissions No measurable frame-time regression Memory overhead bounded and predictable Work offline, sync when connectivity returns Affordable storage at scale Ruled out: FFmpeg on-device, captured the whole screen (needing permissions) and hurt battery Native screen-recording APIs via platform channels, same permission problem, no access to the widget tree for masking sensitive regions Raw RGBA frames from RepaintBoundary.toImage() ~500MB in-memory buffer, unusable Four engineering decisions that made it work: 1. PNG-encoded frames in the in-memory ring buffer. RepaintBoundary.toImage() returns a raw RGBA image. Keeping 150 of those in memory is ~500MB and kills the app on mid-tier devices. UI screenshots compress heavily (mostly flat colors) so re-encoding each frame as PNG drops each one to 30–80KB. 150 frames × 10 seconds of history = 5–12MB steady-state. The PNG encode is paid once per capture tick; everything downstream works with the compact form. 2. MP4 encoding only runs on exception. Continuous H.264 encoding was a non-starter for battery and CPU. The buffer just holds PNGs. When FlutterError.onError, PlatformDispatcher.onError, or runZonedGuarded fires, the encoder drains the buffer, decodes each PNG back to pixels, and feeds them into an H.264 encoder one at a time. Because exceptions are rare, this overhead is essentially invisible in aggregate. An encoding lock ensures rapid exception bursts don't stack up. 3. Blur masks and touch indicators are composited on exception, not on capture. During the hot loop the ring buffer stores three things per frame: the PNG bytes, the current touch position, and the list of active privacy mask regions, nothing is drawn yet. The actual compositing (drawing touch indicators on top of the image, applying blur to masked regions) runs during the encode pass. This keeps the capture tick cheap, and it means privacy masks that appear or disappear during the 10-second window still get applied correctly when the video is built. 4. Local disk persistence for durability. Exceptions and their recordings are written to disk immediately, not held in memory. If the app crashes again or the device loses network, nothing is lost. Sync happens opportunistically: 1.5s debounce to batch concurrent exceptions, retry after 10s on failure, queue capped at 5 files / 12 hours to avoid unbounded growth. When connectivity comes back, everything drains. Benchmarks on Pixel 5/6/8 via Firebase Test Lab (full harness in the article): No frame-time regression at p50 with recording enabled on any device tier Memory overhead: 14–29MB in steady-state idle Jank counts flat during normal operation Peak RSS during exception bursts stays under 70MB (user watching a video) even on the flagship tier 10-second recording on-disk after H.264 encoding: ~250KB Full article (architecture diagrams, ruled-out approaches, RAM-usage visualization, complete benchmark tables): Flutter Session Replay: See What the User Did Git (mobile): Traceway Flutter SDK · Git (backend + frontend): Traceway server iOS benchmarks are on the roadmap, and the harness doesn't yet automate encoding wall-clock or upload latency. If you've done similar work on the PNG capture or H.264 encoding paths, I'd genuinely like to hear what you'd do differently. submitted by /u/narrow-adventure [link] [comments]
- An interactive explainer of how audio fingerprinting lets Shazam identify a song in secondsby /u/Shriracha (programming) on April 20, 2026 at 3:00 pm
submitted by /u/Shriracha [link] [comments]
- State of the Art of Java in 2026 • Ben Evansby /u/goto-con (programming) on April 20, 2026 at 2:26 pm
submitted by /u/goto-con [link] [comments]
- The Power of the Pointer: How Memory Management Is Still Relevant Todayby /u/derjanni (programming) on April 20, 2026 at 2:21 pm
submitted by /u/derjanni [link] [comments]
- Why Crystal, 10 Years Later: Performance and Joyby /u/sdogruyol (programming) on April 20, 2026 at 1:29 pm
Hi everyone, I wrote the original "Why Crystal?" blog post back in 2015 when Crystal was just v0.9.1. Ten years and many versions later, I am revisiting that post to analyze the road to v1.20. If you are interested in how a language matures from a syntax experiment to a high performance standard, this one is for you. submitted by /u/sdogruyol [link] [comments]
- Yoda Principle for better integrationsby /u/Adventurous-Salt8514 (programming) on April 20, 2026 at 1:23 pm
submitted by /u/Adventurous-Salt8514 [link] [comments]
What are the Greenest or Least Environmentally Friendly Programming Languages?
How do we know that the Top 3 Voice Recognition Devices like Siri Alexa and Ok Google are not spying on us?
What are popular hobbies among Software Engineers?
