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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
- Linux Internals: How /proc/self/mem writes to unw
by /u/Dear-Economics-315 (programming) on March 9, 2026 at 3:28 pmsubmitted by /u/Dear-Economics-315 [link] [comments]
- Is legal the same as legitimate: AI reimplementation and the erosion of copyleftby /u/hongminhee (programming) on March 9, 2026 at 3:13 pm
submitted by /u/hongminhee [link] [comments]
- Why glibc is faster on some Github Actions Runnersby /u/not-matthias (programming) on March 9, 2026 at 3:03 pm
submitted by /u/not-matthias [link] [comments]
- The Two-Year Hole in the Internet: How One Missing Line of Code Almost Broke HTTPS Forever
by Alina Kovtun✨ (Programming on Medium) on March 9, 2026 at 3:02 pmA single forgotten bounds check, two years of exposure, 600 000 vulnerable servers, and one overworked developer who never got paidContinue reading on Medium »
- 90% Companies like Stripe, Google, Uber, Atlassian, and PayPal keep asking these Frontend Interview…by Ajit (Programming on Medium) on March 9, 2026 at 3:02 pm
Photo by Antenna on UnsplashContinue reading on Medium »
- I Quit My Remote Job and Went Back to the Office. Here’s Why.
by Mobile App Developer (Programming on Medium) on March 9, 2026 at 3:02 pmSurprisingly, My Life Became Peaceful Again.Continue reading on Medium »
- لماذا يضيع معظم المبتدئين في البرمجة بسبب كثرة المصادر؟
by Mohammed Alzard (Programming on Medium) on March 9, 2026 at 3:02 pmفي كل مرة أرى منشورًا يسأل فيه أحد المبتدئين: “ما أفضل مصدر لتعلم البرمجة؟”Continue reading on Medium »
- The Engineering Instinct That Predicts Production Failures
by Bhavyansh (Programming on Medium) on March 9, 2026 at 3:01 pmLearning to hear what the system is trying to tell youContinue reading on Medium »
- I Removed GetX From a 35-Screen App. Here Are the 4 Bugs It Was Hiding.
by Simra Husain (Programming on Medium) on March 9, 2026 at 3:01 pm4 architectural failures traced in a 35-screen production app — and the exact code that replaced every one.Continue reading on Medium »
- 90% of Java Developers Misuse try-catch — These 4 Patterns Fix It
by Shanu Reddy (Programming on Medium) on March 9, 2026 at 2:59 pmMost developers think more try-catch blocks make code safer.Continue reading on Medium »
- I Built a Plant Monitoring and Control System Using ESP32 & Blynk IoT
by Tarun Chandragiri (Programming on Medium) on March 9, 2026 at 2:53 pmHow a simple monitoring idea evolved into a dual-board IoT projectContinue reading on Level Up Coding »
- My 8-Year-Old Open-Source Project was a Victim of a Major Cyber Attack
by Shalitha Suranga (Programming on Medium) on March 9, 2026 at 2:53 pmYou could be the next victim— here is how to stay safe with modern open-source developmentContinue reading on Level Up Coding »
- 75% of AI Coding Agents Introduce Regressions During Long-Term Maintenance
by MKWritesHere (Programming on Medium) on March 9, 2026 at 2:53 pmWE-CI tested 18 models across 100 real repositories spanning 233 days of history.Continue reading on Level Up Coding »
- [self post] Removing recursion via explicit callstack simulationby /u/josephjnk (programming) on March 9, 2026 at 2:52 pm
This is about a technique I stumbled into while converting some tough recursive code into stack-safe form. I hope it's helpful to others. Please let me know if anyone has any questions, or if you have any answers to the "open questions" section at the bottom. submitted by /u/josephjnk [link] [comments]
- The most important investment is to build an agent from scratchby /u/RobinCrusoe25 (programming) on March 9, 2026 at 2:47 pm
It seems like in the good old days - one had to build everyday tools from scratch to better understand their limitations. Like in framework era - those who dug deep under the hood of framework complexity benefited from frameworks the most. (like, by saying "no" to frameworks, lol). submitted by /u/RobinCrusoe25 [link] [comments]
- Dark Softwareby /u/thisguy123123 (programming) on March 9, 2026 at 2:37 pm
submitted by /u/thisguy123123 [link] [comments]
- Building a strict RFC 8259 JSON parser: what most parsers silently accept and why it matters for deterministic systemsby /u/UsrnameNotFound-404 (programming) on March 9, 2026 at 2:00 pm
Most JSON parsers make deliberate compatibility choices: lone surrogates get replaced, duplicate keys get silently resolved, and non-zero numbers that underflow to IEEE 754 zero are accepted without error. These are reasonable defaults for application code. They become correctness failures when the parsed JSON feeds a system that hashes, signs, or compares by raw bytes. If two parsers handle the same malformed input differently, the downstream bytes diverge, the hash diverges, and the signature fails. This article walks through building a strict RFC 8259 parser in Go that rejects what lenient parsers silently accept. It covers UTF-8 validation in two passes (bulk upfront, then incremental for semantic constraints like noncharacter rejection and surrogate detection on decoded code points), surrogate pair handling where lone surrogates are rejected per RFC 7493 while valid pairs are decoded and reassembled, duplicate key detection after escape decoding (because "\u0061" and "a" are the same key), number grammar enforcement in four layers (leading zeros, missing fraction digits, lexical negative zero, and overflow/underflow detection), and seven independent resource bounds for denial-of-service protection on untrusted input. The parser exists because canonicalization requires a one-to-one mapping between accepted input and canonical output. Silent leniency breaks that mapping. The article includes the actual implementation code for each section. submitted by /u/UsrnameNotFound-404 [link] [comments]
- Every Software Org is Dysfunctional • Rebecca Parsons, Gregor Hohpe, Barry O'Reilly & Andrew Harmel-Lawby /u/goto-con (programming) on March 9, 2026 at 1:14 pm
submitted by /u/goto-con [link] [comments]
- Rust-like Error Handling in TypeScriptby /u/omarous (programming) on March 9, 2026 at 1:06 pm
submitted by /u/omarous [link] [comments]
- The End of Coding? Wrong Questionby /u/Adventurous-Salt8514 (programming) on March 9, 2026 at 12:40 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?
