- NextCareerStep
- Posts
- Will the future of software development run on vibes?
Will the future of software development run on vibes?
Want to learn DSML (Data science Machine learning)?

Will the future of software development run on vibes?
Deel Alternatives
AI & Tech news
Want to learn DSML (Data science Machine learning)?
Will the future of software development run on vibes?
"Vibe coding" describes using AI tools like ChatGPT to generate code by simply describing what you want, often without fully understanding the code itself. It's fast and lowers the barrier to entry, but it can be risky for complex or critical projects due to potential bugs and lack of control. It prioritizes speed over in-depth technical understanding. This trend raises questions about the future of programming and who is ultimately responsible for the code. It is a fun way to try an idea.
The No-Code/Low-Code Vibe Connection:
Vibe coding shares a spirit with the "no-code/low-code" movement, which aims to make software creation accessible to everyone, regardless of technical skills. These tools empower users to create software by describing what they want, rather than writing every line of code.
Here are a couple of examples:
#1. v0 by Vercel: This is a generative UI system. You describe the user interface you want (e.g., "a login form with a blue background and rounded corners"), and v0 generates the React code for you, using shadcn/ui and Tailwind CSS. It's perfect for quickly building front-end components. This is very much in the "vibe coding" spirit, as you're focusing on the what, not the how.
#2. Bolt.new: This is a powerful platform that goes beyond simple website building. You can describe a complete, fully functional web application using text prompts, and Bolt new will generate the necessary code, including Node.js backend logic, database interactions, and a user interface. This is a much closer example to true "vibe coding," as it handles the full stack, not just the visual aspects. You're essentially describing the application's behavior, and Bolt.new makes it happen.
Optimize global IT operations with our World at Work Guide
Explore this ready-to-go guide to support your IT operations in 130+ countries. Discover how:
Standardizing global IT operations enhances efficiency and reduces overhead
Ensuring compliance with local IT legislation to safeguard your operations
Integrating Deel IT with EOR, global payroll, and contractor management optimizes your tech stack
Leverage Deel IT to manage your global operations with ease.
What is Deel?
Deel is a global payroll and HR solution that simplifies the complexities of managing international teams. It offers a comprehensive suite of services, including:
Global Payroll: Deel enables businesses to pay employees and contractors in over 150 countries, ensuring compliance with local laws and tax regulations.
Employer of Record (EOR): Deel acts as the legal employer for your international employees, handling contracts, payroll, taxes, and benefits.
Contractor Management: Deel streamlines the process of hiring and paying contractors, ensuring compliance and simplifying payments.
Deel Shield: This optional add-on provides an extra layer of protection against contractor misclassification risks, offering legal and financial safeguards.
HRIS: Deel offers a free HRIS system for businesses with up to 200 employees, providing tools for onboarding, offboarding, and managing employee data.
Deel Engage: This platform helps with performance management, learning and development, and employee engagement.
Deel IT: This service allows businesses to procure, deploy, and manage IT equipment for their global workforce.
Deel Immigration: Deel assists with visa applications and immigration processes for international employees.
Deel caters to a diverse range of businesses, from startups and SMBs to large enterprises. It's particularly beneficial for companies with distributed teams and international operations.
Top Deel Alternatives
Remote: A global HR solution that offers international payroll, benefits, and compliance services for employees and contractors. Remote is designed to help businesses of all sizes, from startups to enterprises, hire, manage, and pay international teams.
Rippling: A comprehensive workforce management platform that combines HR, IT, and finance functions in one unified platform. Rippling helps businesses of all sizes manage their HR, IT, and finance needs in one place.
Papaya Global: A global payroll and payments platform with a focus on data-driven insights and automation. Papaya Global is designed for companies that need to remain compliant with the laws of different countries while also paying their employees and contractors.
Velocity Global: An AI-powered workforce platform that helps businesses build and manage global teams in 185+ countries. Velocity Global offers a range of solutions, including a global HR platform, employer of record solutions, global payroll, global benefits, global immigration, international pensions, a global equity program, and global talent sourcing.
Oyster HR: An automated global employment platform that simplifies hiring, onboarding, and managing employees and contractors in 180+ countries. Oyster HR provides a variety of services to help businesses with their global HR needs, including global employment, global contractors, global payroll, total rewards, talent mobility, Oyster embedded, integrations, API, global expansion, contractor conversion, switching EORs, and a talent network.
Multiplier: A global payroll and EOR solution with a focus on emerging markets and streamlined workflows.
Globalization Partners: An EOR solution that enables businesses to hire employees in 180+ countries without setting up local entities. Globalization Partners also acts as a compliance counsel and provides global employment experts with HR, legal, and compliance specialists
AI & TECH NEWS
#1. OpenAI Previews GPT-4.5 (SOURCE)

OpenAI is releasing a "research preview" of GPT-4.5, its newest and largest chat model. This version focuses on expanded knowledge and improved "intuition" through increased unsupervised learning, rather than enhanced reasoning skills.
GPT-4.5 was trained on massive amounts of data using Microsoft Azure AI supercomputers. As a result, it has a broader knowledge base, understands user intent better, and is expected to "hallucinate" (make things up) less often.
#2. Qwen's New QwQ-32B: An Open-Source AI Focused on Advanced Reasoning (Source)

Qwen has launched QwQ-32B, a new open-source AI model designed specifically for strong reasoning skills, particularly in math and coding. This addresses a common weakness in many existing AI systems that struggle with complex, multi-step problems.
QwQ-32B boasts 32.5 billion parameters and advanced features like an extended context length (32,768 tokens), allowing it to handle long, intricate inputs. Crucially, it uses reinforcement learning (RL) during training, focusing on improving performance in math and coding through outcome-based rewards.
This open-source approach contrasts with proprietary models, promoting transparency and community collaboration. Performance data shows QwQ-32B is competitive with state-of-the-art systems in math and code generation, and the RL training helps it avoid common AI pitfalls. QwQ-32B is a significant step for open-source AI, providing a powerful, accessible tool for researchers and developers.
3. Scientists Skeptical of Google's "AI Co-Scientist" (Source)

Google claims its new Gemini 2.0-based AI tool can act as a "co-scientist," generating research hypotheses. However, many human scientists are doubtful, saying it's unlikely to be useful in real research.
The AI supposedly uses "advanced reasoning" and multiple AI "agents" debating ideas to create research plans. Google touted it as giving scientists "superpowers," but experts point out several problems:
Scientists say they don't need AI to generate hypotheses; that's the fun part of their job.
The AI's suggested drug repurposing for leukemia was too vague to be taken seriously by experts.
Claims of discovering novel treatments for liver fibrosis were false; the suggested drugs were already known.
While the AI might be helpful for summarizing large amounts of research quickly, the concern remains that it might "hallucinate" (make up information). Ultimately, Google's claim of a hypothesis-generating machine, not just a research assistant, is seen as overblown and unwanted by the scientific community.
#4. Google Search Adds Powerful "AI Mode" Powered by Gemini 2.0

Google is enhancing search with "AI Mode," leveraging its Gemini 2.0 AI for smarter results. Key improvements include better AI-generated summaries (AI Overviews) for complex queries, including math, coding, and multimodal (text, image, voice) input. AI overview is available now without requiring to login.
"AI Mode," an experimental feature, handles multi-step questions, comparisons, and conversational follow-ups. It uses real-time data and accepts text, voice, and image input. Google prioritizes accuracy through fact-checking and safety filters.
AI mode is Initially exclusive to Google One AI Premium subscribers, accessible via a dedicated tab/page/app icon.
Want to learn DSML (Data science Machine learning)? |
If you choose yes, I will start sending you everything that you must know about DSML.
Thanks!