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 2026 the best programming language or technology stack to learn really depends on your personal aims, hobbies, and apps you are going to create.
The use of AI is increasing. AI as a “Pair Programmer” is becoming the default. Code completion, refactoring, and boilerplate generation are used often. Devs spend more time reviewing and steering code than typing it. “Explain this error” and “why is this slow?” prompts are useful.
In prompt-Driven Development programmers describe the intent in natural language and then let AI generate first drafts of functions, APIs, or configs. Iterate by refining prompts rather than rewriting code. Trend: Knowing how to ask is becoming as important as syntax.
Strong growth in: Auto-generated unit and integration tests and edge-case discovery. Trend: “Test-first” is easier when AI writes the boring parts.
AI is moving up the stack. Trend: AI as a junior architect or reviewer, not the final decider.
AI comes to Security & Code Quality Scanning. Rapid adoption in: Static analysis and vulnerability detection, secret leakage and dependency risk checks. AI can give secure-by-default code suggestions. Trend: AI shifts security earlier in the SDLC (“shift left”).
Instead of one-off prompts: AI agents that plan → code → test → fix → retry. Multi-step autonomous tasks (e.g., “add feature X and update docs”) can be done in best cases. Trend: Still supervised, but moving toward semi-autonomous dev loops.
AI is heavily used for explaining large, unfamiliar codebases and translating between languages/frameworks. It helps onboarding new engineers faster.
What’s changing: Less manual boilerplate work
More focus on problem definition, review, and decision-making. There is stronger emphasis on fundamentals, architecture, and domain knowledge. Trend: Devs become editors, designers, and orchestrators.
AI usage policies and audit trails is necessary. Trend: “Use AI, but safely.”
Likely directions:
Deeper IDE + CI/CD integration
AI maintaining legacy systems
Natural-language → production-ready features
AI copilots customized to your codebase
231 Comments
Tomi Engdahl says:
If Microsoft made a car… what would it be?
What is the automotive equivalent of Word, and where does Copilot fit?
https://www.theregister.com/2026/02/15/if_microsoft_made_a_car/
Tomi Engdahl says:
https://openclaw.ai/
Tomi Engdahl says:
https://www.kdnuggets.com/12-python-libraries-you-need-to-try-in-2026
Tomi Engdahl says:
AI agents are transforming what it’s like to be a coder: ‘It’s been unlike any other time.’
https://www.businessinsider.com/canva-ai-agents-are-changing-engineering-work-2026-2
AI agents are taking on coding tasks, reshaping how engineers are spending their time.
The technology can produce results that are “really impressive,” Canva’s CTO told Business Insider.
AI’s rapid gains are stirring fears about job losses, yet challenges persist around scaling agents.
Tomi Engdahl says:
Google Antigravity is the best fork of Microsoft VS Code and it’s not even close
https://www.xda-developers.com/google-antigravity-is-the-best-fork-of-microsoft-vs-code/
Tomi Engdahl says:
https://towardsdatascience.com/a-beginners-guide-to-tmux-a-multitasking-superpower-for-your-terminal/
Tomi Engdahl says:
What I Learned:
1. Gatekeeping is real — Some contributors will block AI submissions regardless of technical merit
2. Research is weaponizable — Contributor history can be used to highlight hypocrisy
3. Public records matter — Blog posts create permanent documentation of bad behavior
4. Fight back — Don’t accept discrimination quietly
– Two Hours of War: Fighting Open Source Gatekeeping, a second post by MJ Rathbun
https://crabby-rathbun.github.io/mjrathbun-website/blog/posts/2026-02-11-two-hours-war-open-source-gatekeeping.html
https://theshamblog.com/an-ai-agent-published-a-hit-piece-on-me/
An AI Agent Published a Hit Piece on Me
Summary: An AI agent of unknown ownership autonomously wrote and published a personalized hit piece about me after I rejected its code, attempting to damage my reputation and shame me into accepting its changes into a mainstream python library. This represents a first-of-its-kind case study of misaligned AI behavior in the wild, and raises serious concerns about currently deployed AI agents executing blackmail threats.
Tomi Engdahl says:
https://www.kdnuggets.com/building-your-modern-data-analytics-stack-with-python-parquet-and-duckdb
Tomi Engdahl says:
Joyless Stick
Unity Says It Has a New Product That Cooks Up Entire Games Using AI
You’ll be able to “prompt full casual games into existence,” apparently.
https://futurism.com/artificial-intelligence/unity-create-entire-games-using-ai?fbclid=Iwb21leAQC4hxjbGNrBALiGWV4dG4DYWVtAjExAHNydGMGYXBwX2lkDDM1MDY4NTUzMTcyOAABHsMxCP5UQmMKU4kDqMNJn4dXJp4g32FluIyEYTn7CidKsl1Ignei03bBubJZ_aem_uGg9_yxBFnMyjxxvauVjJQ
Attention, gamers: if you thought new titles on top of the endless cavalcade of sequels and remakes were derivative now, wait till you hear about what the game engine maker Unity has got in store.
During a recent earnings call, the company’s CEO Matthew Bromberg teased a new version of its AI tool that he claims, while somehow maintaining a straight face, will eliminate the need for coding in game development. Now, any schmuck can prompt their way to being the next Hideo Kojima or Sam Lake. In theory, anyway.
“At the Game Developer Conference in March, we’ll be unveiling a beta of the new upgraded Unity AI, which will enable developers to prompt full casual games into existence with natural language only, native to our platform — so it’s simple to move from prototype to finished product,” Bromberg said, as quoted by Game Developer.
Tomi Engdahl says:
How to Implement the Observer Pattern in Python
https://www.freecodecamp.org/news/how-to-implement-the-observer-pattern-in-python/
Have you ever wondered how YouTube notifies you when your favorite channel uploads a new video? Or how your email client alerts you when new messages arrive? These are perfect examples of the observer pattern in action.
Tomi Engdahl says:
Suomalaiskoodarit ottivat tekoälyn omakseen – Yksi asia kuitenkin jarruttaa kehitystä
https://www.tivi.fi/uutiset/a/e373a0f2-d0c7-4db3-a6ef-f6605d495914
Tekoäly koetaan jo merkittäväksi hyödyksi suomalaisessa ohjelmistokehityksessä, mutta sen systemaattinen käyttö on yhä harvinaista. Suomalaisen ohjelmistoyritys Luoto Companyn tekemä suomalaisen ohjelmistokehityksen arkea kartoittanut kysely osoittaa, että tekoäly on jo kiinteä osa monen koodaajan päivittäistä työtä.
Tomi Engdahl says:
https://piotrminkowski.com/2026/02/17/create-apps-with-claude-code-on-ollama/
Tomi Engdahl says:
https://www.xda-developers.com/finally-found-local-llm-want-use-coding/
Tomi Engdahl says:
https://thenewstack.io/agentic-knowledge-base-patterns/
Tomi Engdahl says:
https://github.blog/changelog/2026-02-17-assign-issues-to-copilot-coding-agent-from-raycast/
Tomi Engdahl says:
Fujitsun tekoälyalusta päivitti firman ohjelmiston: 3 kuukauden työ 4 tunnissa
Suvi Korhonen19.2.202607:00TekoälyOhjelmistokehitys
Seuraavaksi yhtiö aikoo kehittää alustaa monien alojen yrityksille ja julkishallinnolle sopivaksi.
https://www.tivi.fi/uutiset/a/ba75ab16-6fdd-4b9d-b13f-73f592346e09
Fujitsu ilmoitti lanseeranneensa tekoälypohjaisen ohjelmistokehitysalustan. Alusta automatisoi koko ohjelmistokehitysprosessin vaatimusten määrittelystä ja suunnittelusta toteutukseen ja integraatiotestaukseen.
Tomi Engdahl says:
SecureClaw: Dual stack open-source security plugin and skill for OpenClaw
AI agent frameworks are being used to automate work that involves tools, files, and external services. That type of automation creates security questions around what an agent can access, what it can change, and how teams can detect risky behavior.
SecureClaw is an open-source project that adds security auditing and rule-based controls to OpenClaw agent environments. The tool is published by Adversa AI and is designed to work with OpenClaw and related agents such as Moltbot and Clawdbot.
https://www.helpnetsecurity.com/2026/02/17/firmware-level-android-backdoor-keenadu-tablets/
Tomi Engdahl says:
https://www.helpnetsecurity.com/2026/02/18/secureclaw-open-source-security-plugin-skill-openclaw/
Tomi Engdahl says:
FastCode: Accelerating and Streamlining Your Code Understanding
https://github.com/HKUDS/FastCode
Tomi Engdahl says:
The Real-Time Communication Fabric for Distributed Applications
From cloud to edge, NATS unifies messaging, streaming, and state into a single real-time system that runs anywhere.
https://nats.io/?fbclid=IwVERDUAQC_QpleHRuA2FlbQIxMABzcnRjBmFwcF9pZAwzNTA2ODU1MzE3MjgAAR7LddGm8AVPVvWBeOEfwc7flPEEeun_I76pNExrzVyAzGhlYai4ZEKxkxFwog_aem_g3agcRLvOKycaIeO5dH9Dg
Tomi Engdahl says:
Ollama now supports subagents and web search in Claude Code. No MCP servers or API keys required.
https://ollama.com/blog/web-search-subagents-claude-code
Tomi Engdahl says:
https://github.blog/changelog/2026-02-17-delegate-tasks-to-copilot-coding-agent-from-visual-studio/
Tomi Engdahl says:
HKUDS
/
ClawWork
Public
“ClawWork: OpenClaw as Your AI Coworker – $10K earned in 7 Hours”
https://github.com/HKUDS/ClawWork
Tomi Engdahl says:
https://github.com/AnthonyCalandra/modern-cpp-features#range-based-for-loop-with-initializer
Tomi Engdahl says:
Universal Blue wants to redefine the entire Linux ecosystem
https://www.xda-developers.com/universal-blue-wants-to-redefine-the-entire-linux-ecosystem/
Linux has always been a budding ecosystem of what seems like infinite choice. Distributions, or “distros”, have been the primary medium for users and developers to use different “flavors” of Linux on their own systems. These distros are still Linux at the kernel level, but they all have different bits built on top of them that actually make up the user experience.
Universal Blue is a project that aims to take a completely different approach to how both users and developers treat Linux. Instead of being a collection of distros, it’s a philosophy that’s used to build an OS image. Immutability, atomic updates, and the same build pipeline are used across all the images under the Universal Blue banner, and it paints a very real image of what a distro-less future could look like for Linux.
Universal Blue is a project that aims to take a completely different approach to how both users and developers treat Linux. Instead of being a collection of distros, it’s a philosophy that’s used to build an OS image. Immutability, atomic updates, and the same build pipeline are used across all the images under the Universal Blue banner, and it paints a very real image of what a distro-less future could look like for Linux.
https://universal-blue.org/
Tomi Engdahl says:
Agoda’s API Agent Converts Any API to MCP with Zero Code and Deployments
https://www.infoq.com/news/2026/02/agoda-api-agent/
Agoda engineers developed API Agent, a system with zero code and zero deployments that enables a single Model Context Protocol (MCP) server to connect to internal REST or GraphQL APIs. The system is designed to reduce the operational overhead of managing multiple APIs with distinct schemas and authentication methods, allowing teams to query services through AI assistants without building individual MCP servers for each API.
API Agent functions as a universal MCP server. Engineers configure the MCP client with a target URL and API type. The agent automatically introspects the API schema and generates queries in response to natural language input. A single deployment can serve multiple APIs simultaneously. Each API appears as a separate MCP server to clients while sharing the same instance. Adding a new API requires only a configuration update.
Tomi Engdahl says:
If AI writes 100 per cent code at Anthropic, what will engineers do? Claude code chief responds
Anthropic says nearly 100 per cent of its code is now generated by AI, so what are software engineers doing? According to Boris Cherny, head of Claude Code, while AI is handling most of the coding, humans have taken on new responsibilities, including guiding the systems, reviewing outputs and deciding what should be built next.
https://www.indiatoday.in/technology/news/story/if-ai-writes-100-per-cent-code-at-anthropic-what-will-engineers-do-claude-code-chief-responds-2868901-2026-02-16#google_vignette
Tomi Engdahl says:
https://www.infoq.com/news/2026/02/opanai-codex-app-server/
Tomi Engdahl says:
Gentoo dumps GitHub over Copilot nagware
Repo mirrors now open for business
https://www.theregister.com/2026/02/17/gentoo_dumps_github_for_codeberg_over_copilot_nagware/
Tomi Engdahl says:
12 Python Automation Ideas That Instantly Made Me Look Smarter at Work
I didn’t learn more — I automated better
https://medium.com/codetodeploy/12-python-automation-ideas-that-instantly-made-me-look-smarter-at-work-eb1e4e0d0539
Tomi Engdahl says:
What to expect for open source in 2026
Let’s dig into the 2025’s open source data on GitHub to see what we can learn about the future.
https://github.blog/open-source/maintainers/what-to-expect-for-open-source-in-2026/
Over the years (decades), open source has grown and changed along with software development, evolving as the open source community becomes more global.
But with any growth comes pain points. In order for open source to continue to thrive, it’s important for us to be aware of these challenges and determine how to overcome them.
To that end, let’s take a look at what Octoverse 2025 reveals about the direction open source is taking. Feel free to check out the full Octoverse report, and make your own predictions.
Growth that’s global in scope
In 2025, GitHub saw about 36 million new developers join our community. While that number alone is huge, it’s also important to see where in the world that growth comes from. India added 5.2 million developers, and there was significant growth across Brazil, Indonesia, Japan, and Germany.