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Programming News
Medium
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5 Must-Know Tools Every Developer Should Learn in 2025
- Git & GitHub: Version control is the foundation of all team-based development. Postman: Test and debug APIs easily. VS Code + Extensions: A full development environment with useful extensions. Docker: Run apps anywhere in containers. ChatGPT / AI Tools: AI coding assistance for generating code snippets and debugging.
- Version control with Git and GitHub is crucial for team-based development. Postman is a helpful tool for testing and debugging APIs. VS Code with extensions provides a comprehensive development environment. Docker allows running apps anywhere with ease. AI tools like ChatGPT streamline coding with code generation and natural language support.
- Git & GitHub, Postman, VS Code with extensions, Docker, and AI tools like ChatGPT are essential for developers. Learning these tools will enhance productivity, collaboration, and coding efficiency. Start by adopting one new tool a week.
- Embrace essential tools like Git & GitHub, Postman, VS Code with extensions, Docker, and AI tools to excel as a developer. Incremental learning of these tools will lead to remarkable progress in productivity, collaboration, and coding abilities.
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Medium
1w
168
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Batch vs. Online Learning in ML: Are You Training Your Model the Right Way?
- Batch learning is the traditional approach in machine learning where the model is trained on the entire dataset at once.
- Online learning is an incremental approach where the model is trained sequentially with incoming data.
- Batch learning is not cost-effective for handling evolving data and requires retraining from scratch.
- Online learning is powerful for dynamic environments but sensitive to noise and data quality.
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Dev
1w
160
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Best Cloud Hosting Deals in 2025 – 20% OFF with Exclusive Link
- Hostinger is offering exclusive 20% off on its Cloud Hosting Plans.
- Hostinger's Cloud Hosting plans provide blazing fast speed, massive scalability, robust security, and powerful resources.
- Cloud Startup plan offers 100 websites, 100 GB storage, 3 GB RAM, and 2 CPU cores at a discounted price of ₹7,670/year.
- By using the special referral link, users can get instant 20% off on any cloud hosting plan and gain access to premium customer support.
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Dev
1w
345
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How to Use View Transitions API for Seamless Page Animations in Modern Browsers
- The View Transitions API is a new web platform feature that enables seamless, native-like page transitions on the web.
- This API is now available in Chrome and other Chromium-based browsers as of 2023.
- It is designed to improve the perceived responsiveness of Single Page Applications (SPAs) and even Multi Page Applications (MPAs).
- The View Transitions API is a powerful new tool for modern front-end developers to create smooth and accessible transitions without relying on complex libraries.
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Dev
1w
409
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🚀 Dockerfile Best Practices – Make Your Builds 10x Faster
- Dockerfile builds can be slow and inefficient.
- This article provides Dockerfile best practices to make builds faster, use fewer system resources, and deploy faster and safer.
- Some common mistakes are discussed, along with their corresponding fixes.
- The article also provides a quick checklist for Dockerfile best practices.
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Medium
1w
278
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How I Made $547 per Day with a Simple App
- Discover how the AMZ Money Machine app can help you earn $547 per day with Amazon Kindle Publishing.
- The app uses AI technology to automate earning commissions and finding hot-selling books.
- Users have reported impressive results, with some earning over $15,478 in a short time.
- For just under $20, you can gain lifetime access to a system that can change your financial future.
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Medium
1w
244
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LangChain + MCP + RAG + Ollama = The Key To Powerful Agentic AI
- LangChain + MCP + RAG + Ollama = The Key To Powerful Agentic AI
- MCP, RAG, and Agent have gained significant popularity in the AI community.
- The coordination between MCP and RAG allows for real-time data support and knowledge context.
- Recent release of Mistral Small 3.1, an open-source product by Mistral.
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Medium
1w
33
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Floor of Square Root in Python
- The challenge is to compute the square root of a positive integer.
- The floor value is the largest integer less than or equal to the number.
- The math module in Python provides the isqrt() function for calculating the integer square root.
- Other methods for calculating integer square root are also available.
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Medium
1w
409
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How I Earned $1,000 a Month with No Skills
- A person shares their story of earning $1,000 a month with no skills or investment.
- They discovered an automated Bitcoin money system that requires no prior knowledge or training.
- The system operates on a "set and forget" basis, generating consistent profits through free crypto hacks.
- The person earned $200 in their first week and considers financial freedom as a realistic option.
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Medium
1w
84
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Future of Software Developers in an AI-Driven World
- Learning programming is crucial for success in the technology industry.
- AI will reshape software development, but coding skills will remain essential.
- Adaptability and ongoing learning are key for future security and rewarding opportunities in programming.
- Developers need to focus on creativity, system-level thinking, and utilizing AI as a powerful tool.
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Dev
1w
126
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Angular 16–19: Understanding `input.required()` vs `input.required().signal`
- In Angular 16+ and 19, the new functional input API using input.required
() is a powerful way to declare inputs in standalone and signal-based components. - The difference between characters = input.required
- The input.required
() function returns a required input and an InputSignal , which can be used like a signal but is a distinct type. - Angular's input.required
() is already reactive and there is no need to use .signal to convert it.
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Dev
1w
156
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xVerify: Accurate, Efficient LLM Answer Verifier for Reasoning Model Evaluation
- xVerify introduces an efficient answer verifier tailored for evaluating reasoning model responses on objective questions, overcoming challenges in extracting final answers and ensuring answer equivalence across formats.
- The evaluation task is formalized as a 4-tuple (Q,R,Aref,E), emphasizing the extraction of candidate answers and equivalence comparison to reference answers.
- The researchers created the VAR dataset, comprising diverse LLM responses from 19 models across 24 datasets, including multiple question types, prompting strategies, and high-quality annotations.
- Training 14 xVerify models on the VAR dataset demonstrated superior performance across multiple question types, showcasing generalization ability and efficiency compared to existing methods.
- xVerify outperformed rule-based frameworks and judge models in accuracy and cost-effectiveness, with even the smallest model (0.5B parameters) achieving high accuracy and computational efficiency.
- Strong generalization was observed in cases of unseen datasets and models, reinforcing the effectiveness of targeted training and the quality of the VAR dataset.
- The study highlights the importance of specialized evaluation tools like xVerify for assessing reasoning model outputs accurately amidst increasing complexity, setting a precedent for tailored verifiers in complex LLM evaluation tasks.
- By combining innovative data collection, annotation methods, and targeted training, xVerify has emerged as a robust verifier surpassing rule-based frameworks and general-purpose judge models.
- The findings suggest that even smaller parameter models excel at specialized tasks when trained on high-quality datasets, offering computational efficiency and cost-effectiveness in large-scale evaluations.
- xVerify's contributions lie in the creation of the VAR dataset, the development of the xVerify model family, and the demonstration of its superiority in accuracy, generalization ability, computational efficiency, and cost-effectiveness.
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Dev
1w
236
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AI Updates: Semantic Commit for Resolving Intent Conflicts at Scale
- SemanticCommit is a system developed to manage semantic changes with non-local effects, aiming to update AI memory as user intent changes.
- Intent specifications serve as an intermediate layer between humans and AI systems, grounding AI decision-making and establishing common ground.
- Design goals for interfaces include impact analysis, conflict detection, understanding conflicts, and supporting local changes at scale.
- SemanticCommit interface allows users to check for conflicts, make changes, and manually add information for resolving conflicts.
- The system uses a knowledge graph-based RAG pipeline for conflict detection, with a three-tier classification system for conflicts.
- The research findings highlight user preferences for impact analysis, control over changes, and local conflict resolution in AI agent interfaces.
- AI agent interfaces should provide affordances for impact analysis and let users walk the spectrum of control between automation and manual oversight.
- Future directions include exploring interfaces for managing AI memory, cognitive forcing functions, and semantic commits for long-form writing tasks.
- Human feedback and decision-making play a crucial role in updating AI memory, emphasizing the importance of collaborative approaches.
- SemanticCommit improves conflict identification, resolution, and user engagement in updating intent specifications compared to baseline tools.
- Understanding semantic conflicts and integrating new information involve intricate workflows that require a balance of control and efficiency in AI interfaces.
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Dev
1w
193
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How to Deploy React, Vue, and Angular Apps on Vercel, Netlify & GitHub Pages
- Deploying modern JavaScript apps has never been easier thanks to static hosting platforms.
- Vercel, Netlify, and GitHub Pages offer simple, fast, and free deployment options for React, Vue, and Angular apps.
- Vercel specializes in frontend frameworks with zero-config deployment and provides features like automatic HTTPS & CDN and serverless functions support.
- Netlify offers powerful CI/CD and plugin integrations and provides features like free HTTPS & custom domains, forms, identity, and serverless functions.
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Medium
1w
156
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Meet your new coding Buddy: OpenAI Codex CLI is here
- OpenAI has released Codex CLI, a local coding agent that interprets natural language commands into working code.
- Codex CLI can prototype new apps, refactor existing projects, and fix bugs by interpreting natural language descriptions.
- It supports over a dozen languages, including Python, JavaScript, TypeScript, Go, Ruby, and PHP.
- Codex CLI requires Node.js, npm, and an OpenAI API key to use.
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