In the tech world, there is a constant flow of changes and keeping up with them means the choice for tools and technologies which are the most appropriate to invest your time in. In 2025 the best programming language or technology stack to learn really depends on your personal aims, hobbies, and apps you are going to create.
The interest in Java is dropping. February 2025 TIOBE programming community index. C++, which has long been the cornerstone of system programming and performance-critical applications, has officially overtaken Java to take second place in the TIOBE programming language popularity index. A new report from the Java vendor Azul claims that 88% of companies are considering moving off of Oracle Java to another alternative as a result of rising costs and restrictive policies from Oracle, among other issues.
The growing trend in the world of software development: speed matters. C++, Go, and Rust are gaining popularity because the need for computing power increases faster than speed of CPUs is increasing, sothere is a growing interest to the fast programming languages. While C++ is establishing itself, other fast languages are making significant strides. Go continues its top 10 ranking, while Rust has reached an all-time high.
Python still holds its place at the top of the programming world. Since the number of trained experts in the software industry is not enough to cover the growing need, professionals from many other fields are taking over programming skills with the help of Python. This ensures that Python maintains its position even as speed continues to be emphasized in programming language choices. Programs written with Python are often notoriously slow and inefficient. Python 3.14, due out later this year, is set to receive a new type of interpreter that can boost performance by up to 30% with no changes to existing code. Write Python like it’s 2025 and check Python Libraries That Will Make You Feel Like a Data Wizard.
There are also innovative alternatives to the popular languages are gaining steam—and one of them could be the perfect fit for your next project. Top programming languages to learn in 2025: Python, JavaScript, Rust, and more – maybe also Go. Check out also those 11 cutting-edge programming languages to learn now or decide it is better for you to not going to learn a new programming language this year.
Microsoft is actively pushing Visual Studio Code extensions for many uses and even replacing existing separate tools. GitHub Copilot is advertised as your AI pair programmer tool in Visual Studio Code. Check the Best VS Code Extensions to Boost Your Productivity.
Best Backend Frameworks for 2025: A Developer’s Guide to Making the Right Choice The stakes for choosing the right backend framework have never been higher. With the explosion of AI-powered applications, real-time processing requirements, and microservices architectures, your framework choice can make or break your project’s success.
Artificial intelligence (AI) is accelerating at an astonishing pace, quickly moving from emerging technologies to impacting coding a lot AI tools have come heavily to the coding. Coders use AI to help their coding in many ways. You can write code quickly. How to refactor code with GitHub Copilot. How To Build Web Components Using ChatGPT. There are also warnings that Using GitHub Copilot is one sure-fire way to never actually learn how to do coding.
The web has come a long way from static HTML pages to dynamic and highly interactive applications. When traditional JavaScript-based web apps struggle with performance-intensive tasks, WebAssembly (WASM) promises to enable near-native performance on the web. Read Why WebAssembly (WASM) is the Future of High-Performance Web Apps.
JavaScript in 2025 will see advancements in serverless architectures, integration with WebAssembly, adoption of microfrontends, and more. JavaScript is also a fighting field. Deno filed a petition with the United States Patent and Trademark Office to cancel Oracle’s trademark in November 2024. Oracle will not voluntarily release its trademark on the word “JavaScript”. Building Modern React Apps in 2025 – A Guide to Cutting-Edge Tools and Tech Stacks
The open source, cross-platform JavaScript runtime environment Node.js will soon support TypeScript by default, without extra configuration. Node 23 will be able to run TypeScript files without any extra configuration. Express is an extremely commonly used web server application framework in Node.js.
Open Source in 2025: Strap In, Disruption Straight Ahead article takes a look for new tensions to arise in the New Year over licensing, the open source AI definition, security and compliance, and how to pay volunteer maintainers. For good news check out Top Open Source Projects to Watch in 2025 and 13 top open-source tools you must use for your next big project in 2025.
The Mobile Development Tech Stack for 2025 selection is important because the right tech stack can make or break your mobile app. The mobile development tech stack for 2025 is rich with opportunities.
Must-Know 2025 Developer’s Roadmap and Key Programming Trends article says that in the world of coding trends, one thing is clear: classic languages like Java, Python, and JavaScript are still important, but they’re being joined by new favorites such as Go and Rust. And when you ask “Is JavaScript or Python 2025?” the answer is rarely simple – and could be that you need both.
Here are some points:
Python’s Growth in Data Work and AI: Python continues to lead because of its easy-to-read style and the huge number of libraries available for tasks from data work to artificial intelligence. Tools like TensorFlow and PyTorch make it a must-have.
JavaScript and Its Ongoing Role in Building Website: JavaScript (and by extension, TypeScript) is the basic building block. JavaScript is still essential for web work, running both the parts you see on a site and the behind-the-scenes work, but many coders are now preferring TypeScript for business projects. Try building a small web app using React.
The Rise of Go and Rust: For those looking at future coding languages 2025, Go and Rust are getting a lot of attention.
Java, C++, and C#: The Reliable Favorites: Even in 2025, there’s no ignoring that languages like Java, C++, and C# are still important. Java continues to be a top choice for large business applications and Android app development, while C++ is key in systems work and game development.
There are several shifts that every aspiring coder should keep in mind:
Adding Artificial Intelligence to Coding: The future of coding is closely linked with AI
Building for the Cloud: With cloud computing becoming common, languages that handle many tasks at once and run fast (like Go and Rust) are more important than ever.
The Need for Full-Stack Skills: Coders today are expected to handle both the front part of websites and the back-end work. JavaScript, along with tools like Node.js and modern front-end libraries, is key.
Focus on Safety and Speed: With online security becoming a big issue, languages that help avoid mistakes are getting more attention. Rust’s features that prevent memory errors and Go’s straightforward style are good examples.
Keep Learning and Stay Flexible: One thing that never changes in tech is change itself. What is popular in 2024 might be different in 2025.
Here’s a simple table that sums up some facts in plain language:
| Language | 2025 Trend | Main Advantage | Resource Link |
|---|---|---|---|
| Python | Leads in data work and AI | Easy to read, lots of tools | GeeksforGeeks |
| JavaScript | Essential for building websites | Works everywhere on the web | Snappify |
| TypeScript | Becoming popular in large projects | Helps catch errors early | Fullstack Academy |
| Go | Growing quickly in cloud computing | Fast and handles many tasks at once | Nucamp |
| Rust | New favorite for safe, low-level coding | Prevents common memory mistakes | The Ceres Group |
| Java | Still important for big business and Android work | Runs on many types of systems | Wikipedia |
Best Dev Stacks to Learn in 2025lists the top development stacks for 2025 to be:
1. MERN Stack (MongoDB, Express.js, React, Node.js)
2. MEVN Stack (MongoDB, Express.js, Vue.js, Node.js)
3. JAMstack (JavaScript, APIs, Markup)
4. T3 Stack (Next.js, TypeScript, tRPC, Tailwind CSS, Prisma)
5. Flutter Stack (Flutter, Firebase)
6. PERN Stack (PostgreSQL, Express.js, React, Node.js)
7. Django Stack (Django, PostgreSQL, React/Angular)
8. DevOps Stack (Docker, Kubernetes, Jenkins, Terraform)
9. AI/ML Stack (Python, TensorFlow, PyTorch, FastAPI)
10. Blockchain Development Stack (Solidity, Ethereum, Hardhat)
11. Spring Boot + React Stack
10 hot programming trends — and 10 going cold
Hot: Repatriation
Not: Cloud bills
Hot: AI partners
Not: Human pair programming
Hot: Rust
Not: C/C++
Hot: Wasm
Not: Interpreters
Hot: CPUs
Not: GPUs
Hot: Zero-knowledge proofs
Not: Digital signatures
Hot: Trustworthy ledgers
Not: Turing-complete ledgers
Hot: GraphQL
Not: REST
Hot: Static site generators
Not: Single-page apps
Hot: Database configuration
Not: Software programming
What’s trending in Software-driven Automation (SDA) in 2025? Here are some predictions:
1. Virtual Safe Control – A new and novel concept introduced by CODESYS and SILista, making it possible to implement Functional Safety controller reaching SIL2 or even SIL3 level, using generic hardware with help of software virtualisation. This will significantly decrease cost of hardware and speed up development cycle.
2. Open platforms – This trend started already last year, and now we’re seeing more and more automation vendors coming this way. #ctrlXOS opened the game, and there are other vendors like Phoenix coming the same way with their PLCnext Virtualised.
3. Model-based Design (MBD) – An old concept but not yet fully utilised in development. Maybe because lack of well integrated toolchains in the past. But now we’re seeing more and more industrial players adopting the methodology in their product development.
4. AI, of course, but how? Naturally AI can assist in efficient software development and testing. Also some algorithm optimisation and condition monitoring with AI and ML has been seen.
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Tomi Engdahl says:
The Computer-Science Bubble Is Bursting
Artificial intelligence is ideally suited to replacing the very type of person who built it.
https://www.theatlantic.com/economy/archive/2025/06/computer-science-bubble-ai/683242/
The job of the future might already be past its prime. For years, young people seeking a lucrative career were urged to go all in on computer science. From 2005 to 2023, the number of comp-sci majors in the United States quadrupled.
All of which makes the latest batch of numbers so startling. This year, enrollment grew by only 0.2 percent nationally, and at many programs, it appears to already be in decline, according to interviews with professors and department chairs.
Tomi Engdahl says:
https://www.xda-developers.com/self-hosted-tool-n8n-alternative-developers-automate-code/
Tomi Engdahl says:
https://foojay.io/today/clean-and-modular-java-a-hexagonal-architecture-approach/
Tomi Engdahl says:
Inside Java’s Language Renaissance
The path to making Java simpler, more expressive and more data-oriented.
https://thenewstack.io/inside-javas-language-renaissance/
“Java is old, boring and enterprise-y!” That’s what my co-founder Travis Reeder shouted over the wind as we boated and bounced along the Sacramento-San Joaquin Delta, somewhere between corporate burnout and midlife coding crisis. “I want to have fun writing code again!”
That’s why we launched our consulting firm in Ruby in 2009. And in 2011, we switched our next startup, Iron.io, to Go
Fast forward 15 years, and Java is going through a full-blown renaissance. It’s becoming fun again, and strangely, I’m on the team making that happen.
while demoing Rails scaffolding for the first time, Travis was likely using Java 1.4. Not only were there no record classes, switch expressions or pattern matching — there were also no lambda functions, streams or generics, and J2EE was the framework du jour, complete with SOAP and WSDL support. And here was DHH building a functioning blog from scratch, live on stage in 16 minutes, without ever saying the word “enterprise” or “bean.” It was glorious.
Release Cadence
We recently launched Java 24 at JavaOne 2025. New versions of Java are released every six months, like clockwork, on the Tuesday of ISO weeks 12 and 38, and have been for over seven years. This time-based release model is a big change from the former feature-based model, where a release would be pinned to a specific feature that often took over three years to get out the door.
This predictable six-month release cadence has delivered numerous benefits, such as getting new features into the hands of developers faster, breaking large concepts (such as pattern matching) into smaller incremental changes (pattern matching for instanceof), establishing predictability for companies that rely on Java, and enabling a process for preview features that can collect real-world feedback and change before going final. The six-month release cadence also means there is no rushing to include things before they are ready
Tomi Engdahl says:
HTMX + Python: How I create Full-stack Web Apps Without JavaScript
I was the one who always hated frontend work, but this changed everything for me….
https://python.plainenglish.io/htmx-python-how-i-create-full-stack-web-apps-without-javascript-a48617b3e31d
I loved writing Python. Fast APIs, clean logic, proper data handling… that was my comfort zone.
But the moment I had to write JavaScript, everything felt slow and annoying.
So I stayed backend-only for a long time.
Then I found something that completely changed how I build web apps.
It’s called HTMX.
And it lets you build full-stack apps using just Python and HTML — no complex frontend frameworks, no React, and in many cases, no JavaScript at all.
What Is HTMX?
HTMX is a small library that lets you make your HTML talk to your server directly.
You add special HTML attributes like hx-get, hx-post, hx-swap, and they handle all the frontend magic.
No need for AJAX setup. No need for writing fetch APIs. No need for React state management.
Just write Python on the server, and let HTMX make the requests from the frontend.
It’s like your HTML becomes dynamic, without writing JavaScript.
Tomi Engdahl says:
https://www.xda-developers.com/used-obsidians-dataview-plugin-live-dashboard/
Tomi Engdahl says:
From Java 8 to Java 21: How the Evolution Changed My Developer Workflow
Learn how upgrading from Java 8 to Java 21 transformed my workflow with features like records, virtual threads, and text blocks. A must-read for Java developers.
https://dzone.com/articles/java-evolution-changed-developer-workflow
Tomi Engdahl says:
Anthropic won’t fix a bug in its SQLite MCP server
Fork that – 5k+ times
iconJessica Lyons
Wed 25 Jun 2025 // 06:30 UTC
Anthropic says it won’t fix an SQL injection vulnerability in its SQLite Model Context Protocol (MCP) server that a researcher says could be used to hijack a support bot and prompt the AI agent to send customer data to an attacker’s email, among other things.
https://www.theregister.com/2025/06/25/anthropic_sql_injection_flaw_unfixed/
Tomi Engdahl says:
10 AI Tools That Cut Documentation Time by 70% (Real 2025 Benchmarks)
https://dev.to/teamcamp/10-ai-tools-that-cut-documentation-time-by-70-real-2025-benchmarks-4fen
Tomi Engdahl says:
https://www.kdnuggets.com/vibe-coding-a-speed-reading-app-with-python-in-just-15-minutes
Tomi Engdahl says:
https://css-tricks.com/kelpui/
Tomi Engdahl says:
Platform Engineering vs. DevOps Misses the Point
Developer portals are useful tools, but tools aren’t platforms. And they can’t fix broken culture, poor communication or a non-product mindset.
https://thenewstack.io/platform-engineering-vs-devops-misses-the-point/
Tomi Engdahl says:
https://judoscale.com/blog/which-python-framework-is-best
Tomi Engdahl says:
How to succeed (or fail) with AI-driven development
https://www.infoworld.com/article/3999607/how-to-succeed-or-fail-with-ai-driven-development.html
Developers and tech leaders share their risks, rewards, and best practices for integrating AI into the software development lifecycle.
Artificial intelligence (AI) continues to permeate seemingly every aspect of business, including software development. AI-augmented development involves using generative AI to support various stages of the software development lifecycle, including design, testing, and deployment. Introducing AI-powered tools into the development process is intended to increase developer productivity by automating certain tasks. It can also enhance the quality of code and speed up the development lifecycle, so development teams can bring products to users more quickly.
AI-augmented development is on the rise, according to industry research. An May 2025 report by market intelligence and advisory firm QKS Group forecasts that the global AI-augmented software development market will expand at a compound annual growth rate of 33 percent through 2030.
“In an era where speed, innovation, and adaptability define competitive advantage, AI-augmented software development is rapidly becoming a transformative force for enterprises,”
Tomi Engdahl says:
I’m All In on AI, But We Need to Talk About Vibe Coding
https://dev.to/georgekobaidze/im-all-in-on-ai-but-we-need-to-talk-about-vibe-coding-the-new-slippery-slope-2k6p
AI Is Awesome
For the record, as I mentioned in the title, I’m huge pro-AI. I think it’s the logical next step in the evolution of computer science. We’ve always aimed to build smarter systems and automate what we can — it’s part of our nature. Humans crave convenience, efficiency, and simplicity. The more easily we can create and manage complex systems, the better and there’s absolutely nothing wrong with that.
Large Language Models (LLMs) have become a cornerstone of this progress. Today, nearly every software engineer relies on them in some way (or at least the vast majority do). I started my professional software engineering journey way back in 2017, when I got hired as a junior software engineer
Tomi Engdahl says:
Creating a Chatbot from Scratch and Vibe Coding the UI
https://dev.to/rohan_sharma/creating-a-chatbot-from-scratch-and-vibe-coding-the-ui-1bij
Hey all,
I hope you remember me. (Yes?? LMK in the comment section.)
In this blog, I will discuss Radhika: Adaptive Reasoning & Intelligence Assistant. It provides specialized assistance across six distinct modes: General, Productivity, Wellness, Learning, Creative, and BFF.
Tomi Engdahl says:
https://dev.to/dumebii/i-started-learning-javascript-again-a-beginner-friendly-guide-to-the-basics-5f50
Tomi Engdahl says:
GitPhish: Open-source GitHub device code flow security assessment tool
GitPhish is an open-source security research tool built to replicate GitHub’s device code authentication flow. It features three core operating modes: an authentication server, automated landing page deployment, and an administrative management interface.
https://www.helpnetsecurity.com/2025/07/03/gitphish-open-source-github-device-code-flow-security-assessment-tool/
Tomi Engdahl says:
https://cybersecuritynews.com/rift-malware-analysis-tool/
Tomi Engdahl says:
https://www.gamedeveloper.com/art/unity-promises-stronger-ai-copyright-guardrails-after-employee-conjures-mickey-mouse-on-stream
Tomi Engdahl says:
The 10x “overemployed” engineer
A software engineer worked at several AI startups at the same time, without his employers knowing anything about it. Then one frustrated founder who hired him went public…
https://newsletter.pragmaticengineer.com/p/the-10x-overlemployed-engineer
The 2002 movie Catch Me if You Can stars Leonardo Di Caprio as a talented 19-year-old fraudster, who forges millions of dollars in checks while pretending to be a doctor, a lawyer, and even an airline pilot. That Hollywood film now has echoes in the tech industry, in a story which has come to light in Silicon Valley.
A software engineer in their mid-twenties, based in India, successfully scammed approximately a million dollars annually from tech startups by excelling in interviews, getting hired remotely, and then not doing their assigned work, all while being simultaneously employed by many companies.
As in ‘Catch Me if You Can’, in this story there’s an unusually talented main character who gets into a dramatic showdown once exposed.
Tomi Engdahl says:
tinymcp: Unlocking the Physical World for LLMs with MCP and Microcontrollers
https://blog.golioth.io/tinymcp-unlocking-the-physical-world-for-llms-with-mcp-and-microcontrollers/
Today we are launching tinymcp, a Model Context Protocol (MCP) server and framework that enables any connected device to expose remote functionality to Large Language Models (LLMs). While many MCP servers expand the capabilities of LLMs, few are able to enable direct interaction in the physical world. tinymcp leverages Golioth’s optimized cloud services and firmware SDK to allow LLMs to interact with even the most constrained devices.
Background
It seems like every company is racing to implement MCP servers that allow LLMs to interact with their API to satisfy the prompts of users. As suggested by the name, the seeming primary use case of MCP is providing additional context to LLMs, allowing them to return more useful responses by accessing relevant data from external sources. For example, a Golioth MCP server could enable users to leverage LLMs to glean high-level insights about their device fleets by exposing data via Golioth’s Management API.
This is a compelling use case, and one we will likely support in the coming months, but it is far from novel at this point. Instead, tinymcp is an effort to enable users to easily run their own MCP servers on embedded devices, and expose the functionality remotely. This is built on Golioth’s existing LightDB State and Remote Procedure Call (RPC) support. It leverages MCP’s tool calling capabilities, making it possible to expose arbitrary functionality on a device to an LLM. The tinymcp MCP server acts a proxy, translating MCP clients’ JSON-RPC API calls to Golioth RPCs, which are then delivered to devices.
How It Works
Because tinymcp leverages existing Golioth features, current and previous versions of the Golioth Firmware SDK can be used to implement an on-device MCP server. In fact, existing devices running firmware that register RPCs can expose the functionality via MCP without any firmware changes. Additionally all platforms and hardware supported by the SDK can be targeted. In the following blinky example, a simple Zephyr firmware application exposes the ability to turn an LED on and off via MCP tool calls
Tomi Engdahl says:
https://dev.to/vivekkodira/choosing-an-ai-ide-321o
Tomi Engdahl says:
https://dev.to/anchildress1/all-ive-learned-about-github-copilot-instructions-so-far-5bm7
Tomi Engdahl says:
Claudia: An Open Source GUI for Claude AI Code Development
A Claude Code helper with a beautiful GUI
https://news.itsfoss.com/claudia/#google_vignette
These past few years, the use of AI has been growing in coding, with tools once meant for code completion or syntax suggestions now serving as intelligent helpers, offering debugging help, generating boilerplate, and even helping design entire applications.
This has given rise to specialized tools like Claude Code, Anthropic’s coding environment made for working with its AI model, Claude. With this, instead of just chatting, users give it goals like writing or fixing code, and the model figures out the steps to get it done, handling things like editing files and running tests along the way.
Now, Asterisk, a YC-backed startup, has released Claudia, a free, open source app that gives Claude Code a clean, visual interface.
Tomi Engdahl says:
https://valjas.fi/opi/blogi/mika-on-due-diligence/
Tomi Engdahl says:
Gemini CLI: your open-source AI agent
Jun 25, 2025
·
5 min read
Read AI-generated summary
Free and open source, Gemini CLI brings Gemini directly into developers’ terminals — with unmatched access for individuals.
https://blog.google/technology/developers/introducing-gemini-cli-open-source-ai-agent/
Tomi Engdahl says:
https://machinelearningmastery.com/7-ai-agent-frameworks-for-machine-learning-workflows-in-2025/
Tomi Engdahl says:
https://www.infoq.com/news/2025/06/cpp-26-feature-complete/
C++26 Draft Finalized with Static Reflection, Contracts, and Sender/Receiver Types
Tomi Engdahl says:
https://developers.googleblog.com/en/introducing-gemma-3n-developer-guide/
Tomi Engdahl says:
You’re Programming the Wrong Way in the AI Era
Popular Programming Languages Fail at AI Plumbing — The Skill You Need Right Now
https://ai.gopubby.com/youre-programming-the-wrong-way-in-the-ai-era-aebf9e3e97b5
Yup, sure — this headline sounds like heresy in the middle of AI’s golden parade.
You’re probably thinking:
How dare you call Python “wrong” when it’s the duct tape of deep learning?
It runs the AI world.
It gave machine learning to every Jack and Jill.
It bootstrapped an entire economy of agents, demos, and weekend founders.
And you’re right.
Imperative code — mostly dressed in OOP pajamas — still rules the arena.
Python. Java. JavaScript. C#. Swift. Ruby, you name it.
All ’90s kids. All still everywhere.
From frameworks to hackathons, from toy projects to unicorn MVPs —
the code flies
It ships.
It scales.
It sells.
But under the hood?
It’s still the same mutable-spaghetti mindset that hardened in the ‘80s.
The ease and speed we loved?
They printed technical debt like it was stimulus cash —
and nobody bothered to check the balance sheet.
Sure, we gained:
— Rapid hiring.
— Faster development.
— Easier deployment.
But at what cost?
— We gave up security.
— We sacrificed reliability.
— We blurred predictability.
And when the snake of mutable, spaghettified code finally bites — driven by an entropy that never sleeps — it poisons everything. Systems. Uptime. Trust.
Tomi Engdahl says:
New Features in Java 25
https://www.baeldung.com/java-25-features
Tomi Engdahl says:
Uncle Sam wants you – to use memory-safe programming languages
‘Memory vulnerabilities pose serious risks to national security and critical infrastructure,’ say CISA and NSA
https://www.theregister.com/2025/06/27/cisa_nsa_call_formemory_safe_languages/
Tomi Engdahl says:
Phion.dev
Build in Cursor like in Lovable – auto start, save & deploy
https://www.producthunt.com/products/phion-dev-cursor-auto-start-and-deploy
Just craft in Cursor. We handle versioning, publishing, cursor rules, and everything else. Focus on creating, not configuring.
Tomi Engdahl says:
https://www.analyticsvidhya.com/blog/2025/06/ai-tools-everyone-is-using/
Tomi Engdahl says:
Pyrefly and Ty: Two new Rust-powered Python type-checking tools compared
https://www.infoworld.com/article/4005961/pyrefly-and-ty-two-new-rust-powered-python-type-checking-tools-compared.html
Pyrefly from Meta and Ty from Astral offer type-checking for Python codebases at the speed of Rust.
What is most striking about Python’s latest wave of third-party tooling is that they aren’t written in Python. Instead, many of the newer tools for project management, code formatting, and now type checking, are written in Rust.
This isn’t a swipe at Python; every language has its place. But modern language tooling demands a real-time feedback loop that Python can’t always deliver at the speed required. Rust fills that gap. Modern project management tools like uv and code formatters like ruff run fast and lean thanks to Rust.
The newest projects in this space aim to provide type-checking tools for Python that are faster and potentially more powerful than Python-based tools like mypy and pyright.
Ty from Astral (makers of the uv package manager and the ruff code formatter) and Pyrefly from Meta have essentially the same use case: providing high-speed type checking and language services for Python. Both have comparable performance, running many times faster than similar Python-based projects. This article tells you where these new tools stand right now in terms of usability and features.
Tomi Engdahl says:
https://dev.to/dev_kiran/comparing-qodo-and-github-copilot-4l2b
As developer tools powered by AI keep changing the way we code everyday, Qodo and GitHub Copilot are two key players in the market.
Both these tools provide advanced AI programming, yet they have notable differences in how they handle test generation and code review features.
In this article, I will be comparing these 2 tool on various factors. We’ll break down their features, strengths, and weaknesses to help you choose the one that fits your needs best.
Tomi Engdahl says:
Google touts Python client library for Data Commons
https://www.infoworld.com/article/4014207/google-touts-new-python-client-library-for-data-commons.html
Tomi Engdahl says:
Building A Modern Dashboard with Python and Taipy
A guide to building a front-end data application
https://towardsdatascience.com/building-a-modern-dashboard-with-python-and-taipy/
Tomi Engdahl says:
An Animated Introduction to Web Development from Back to Front
https://www.freecodecamp.org/news/an-animated-introduction-to-web-development-from-back-to-front/
Tomi Engdahl says:
Vibe coding with AI sparks debate, reshapes developer jobs
The ‘vibe coding’ catchphrase shows that GenAI is transforming software developer jobs — but just how much change is coming? It depends on who you ask.
https://www.techtarget.com/searchsoftwarequality/news/366626735/Vibe-coding-with-AI-sparks-debate-reshapes-developer-jobs
Tomi Engdahl says:
https://benanderson.work/blog/agentic-search-for-dummies/?ref=sidebar
Tomi Engdahl says:
https://venturebeat.com/ai/anthropic-just-made-every-claude-user-a-no-code-app-developer/
Tomi Engdahl says:
https://timesofindia.indiatimes.com/blogs/data-science-vibes/how-not-to-sell-vibe-coding/
Tomi Engdahl says:
Why developer expertise matters more than ever in the age of AI
AI can help you code faster, but knowing why the code works—and sharpening your human-in-the-loop skills—is what makes you a great developer
https://github.blog/developer-skills/career-growth/why-developer-expertise-matters-more-than-ever-in-the-age-of-ai/
Tomi Engdahl says:
Cloudflare Containers: A Deep Dive into the Future of Edge Computing
Run containerised apps globally with zero infrastructure hassle using Cloudflare’s latest edge-native platform
https://blog.prateekjain.dev/cloudflare-containers-a-deep-dive-into-the-future-of-edge-computing-2ba982229fb9
Cloudflare recently launched Containers in public beta on June 24, 2025, marking a significant advancement in its Workers platform. Containers allow developers to deploy standard Docker container images effortlessly onto Cloudflare’s extensive global network, which covers over 330 cities. Unlike traditional server-based container platforms, Cloudflare Containers run directly at the network edge, significantly reducing latency by bringing applications closer to users.