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Transform Your Website into a Mobile App with AI: A Step-by-Step Guide

Converting your website into a mobile app can significantly boost engagement, user experience, and conversions in today's mobile-first world.
AI-powered tools have made this transformation accessible, affordable, and requiring minimal technical knowledge.
Benefits include faster loading, smoother navigation, offline access, improved engagement, higher conversion rates, and powerful marketing capabilities.
Platforms like Twinr, Instance, and Appy Pie leverage AI for website-to-app conversion, offering various features and customization options.
The step-by-step process involves evaluating your website, choosing the right AI tool, creating the app foundation, customizing the interface, adding mobile-specific features, testing thoroughly, preparing for app store submission, and launching and promoting.
Real-world success stories include H&M, Calendly, and Canva successfully transitioning websites into thriving mobile apps.
Challenges like performance issues, feature parity, user adoption, and maintenance burden can be addressed with proper strategies.
Future-proof your mobile app by focusing on regular updates, user feedback, performance monitoring, and staying current with platform changes.
Transforming your website into a mobile app using AI tools is a powerful way to enhance your digital presence and user engagement.
By taking advantage of tools like Instance, Twinr, or Appy Pie, businesses can make this transition successfully and cater to the growing mobile app market.

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Dev

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Comparing No-Code App Builders: Which Platform Is Ideal for Your App?

No-code platforms have revolutionized app development, offering visual interfaces and pre-built templates to create apps without coding.
Consider factors like complexity, target platforms, design flexibility, and budget when choosing a no-code platform.
Leading platforms include Instance for beginners, Replit for code flexibility, and Lovable for conversational building.
Other notable options include Glide for data-driven apps, Adalo for native mobile experiences, and Bubble for complex applications.
Real-world success stories demonstrate the versatility and effectiveness of no-code platforms for various applications.
When selecting a platform, define requirements, assess budget, test options, and consider integration capabilities and future scalability.
The future of no-code development includes AI advancements, better integration, and platforms blurring traditional development boundaries.
Instance, Replit, and Lovable offer unique features catering to different user needs in the evolving landscape of no-code app development.
Evaluate your needs, technical comfort, and long-term goals to choose the ideal platform to bring your app vision to life.
No-code development presents opportunities for entrepreneurs and businesses to innovate cost-effectively and build complex applications without traditional constraints.
Experiment with free trials and tiers offered by different platforms to find the best fit and embrace the empowering potential of no-code app development.

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Dev

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🐕 Why We Built a Lightning-Fast Static Website for French Dog Parks with Astro.js

Parcs Canins is a fast, SEO-friendly static website listing secure, fenced dog parks in France, built with Astro.js.
The idea behind Parcs Canins was to provide dog owners with a simple, fast way to find safe off-leash parks, focusing on speed, simplicity, and search engine visibility.
Astro.js was chosen for Parcs Canins due to its fast performance with zero JavaScript and built-in SEO tools, allowing for modern component-based development while keeping the output lean.
The tech stack for Parcs Canins includes Astro.js framework, TailwindCSS for styling, and content management through Markdown and .astro files, with features like SEO-optimized park listings, fast load times, privacy-first design, and accessibility.

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TechCrunch

381

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ChatGPT’s deep research tool gets a GitHub connector to answer questions about code

OpenAI enhances its AI-powered 'deep research' feature with a GitHub connector for analyzing codebases.
The GitHub connector allows developers to ask questions about codebases, engineering documents, and more.
ChatGPT Plus, Pro, and Team users will have access to the GitHub connector, with Enterprise and Edu support coming soon.
OpenAI also introduces fine-tuning options for developers to customize newer models like o4-mini and GPT-4.1 nano for specific applications.

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Johndcook

292

Square root of a small number

The recent post discusses an algorithm in quaternion and rotation matrices conversions.
There is a risk of taking square root of a nearly negative number in floating point arithmetic.
The post explores the need to handle cases where the argument for square root could be small or slightly negative.
Authors suggest an alternative expression that is numerically less sensitive to avoid precision loss.

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Medium

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I Got My First Backend Job with Java — Here’s What I Wish I Knew

Lessons learned by a new backend developer working with Java.
Mastering Java's syntax is not enough, understanding its ecosystem and philosophy is crucial for backend development.
Java is robust, enterprise-grade language designed for scalability, reliability, and maintainability.
Building systems with Java requires handling real-world complexity.

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Dev

324

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Stuck on Side Projects? GitHub’s Hiding Your Exit Plan

Many developers face idea overload and lack of progress with side projects, leading to 'Side Project Purgatory™.'
One strategy to overcome this is to start from existing open-source projects that already fulfill a significant portion of your requirements.
GitHub offers solutions to common roadblocks faced by indie developers, such as lack of inspiration, getting stuck post-MVP, experimenting with AI, and dealing with failed launches.
Utilizing pre-loved GitHub projects allows developers to build upon stable foundations, rather than starting from scratch every time.
The focus is on making improvements, monetizing smartly, and creating niche products from existing open-source projects.
By enhancing existing projects with unique features and design elements, developers can create successful products and even monetize them effectively.
GitHub offers a variety of curated bundles like APIs, infrastructure projects, Rust repositories, and data bundles to aid developers in their projects.
The ultimate goal is to work smarter, not harder, by using existing resources and building upon them to achieve progress and success in side projects.
Devs are encouraged to leverage GitHub resources as a shortcut, a system, and a spark to avoid side project burnout and enhance productivity.
The article presents various solutions and steps to help developers navigate side project challenges and turn their ideas into successful products, highlighting the importance of practicality and efficiency in project development.
Through GitHub's vast resources and existing open-source projects, developers can find inspiration, overcome hurdles, and create innovative products that cater to user needs and preferences.

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Dev

333

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How to Turn GitHub Projects Into Real Money

GitHub projects can be turned into real money by spotting opportunities, validating ideas, and building value ethically and legally.
Developers can leverage GitHub as a goldmine for business ideas, utilizing abandoned repos as an advantage.
Steps include picking a niche, finding open-source projects, improving or productizing them, and monetizing through various methods.
Examples like Plausible Analytics and Outline showcase how businesses have evolved from existing GitHub projects.
Utilizing curated GitHub bundles can save time, help find niche projects, and expedite the launch process.
Open-source projects serve as a platform for launching real businesses, requiring coding skills and entrepreneurial vision.
Emphasize the importance of leveraging curated bundles, validating ideas, polishing projects, and monetizing them for success.
GitHub provides ample opportunities for turning ideas into profitable ventures, encouraging action and innovation.
The formula involves open-source projects as a business opportunity, utilizing curated resources, validating ideas, and iterating for revenue.
By creatively repackaging existing GitHub projects, developers can build unique offerings and potentially profitable ventures.

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Dev

241

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Building a Comprehensive Observability Stack for a .NET API with Core Banking Integration

The article covers the implementation of a comprehensive observability solution for a .NET API integrating with a core banking system.
The solution architecture included structured logging with Serilog, distributed tracing with OpenTelemetry and Jaeger, metrics collection with Prometheus, visualization with Grafana, and health checks for the API and its dependencies.
Implementation steps involved setting up structured logging, adding OpenTelemetry for distributed tracing, configuring metrics collection, implementing health checks, and using Docker Compose for observability infrastructure.
Challenges faced included Prometheus integration issues, Docker networking problems, and port conflicts, but the final result provided comprehensive monitoring capabilities with structured logs, distributed traces, and custom metrics in Grafana.

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Dev

292

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C# Collection Types for Beginners

Collections are essential for storing and managing groups of items efficiently.
Understanding different collection types like arrays, lists, dictionaries, sets, stacks, and queues is crucial in C#.
Using generic collections provides type safety, better performance, and clearer code compared to non-generic collections like ArrayList and Hashtable.
Choosing the right collection type based on requirements such as fixed-size, dynamic list, key/value pairs, unique items, or thread safety is key to writing clean and efficient code.

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Dev

387

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Review of (nearly) 5 years of MOD-CSS programming

The creator of MOD-CSS reflects on almost five years of development, questioning the worth of continuing to improve and maintain the tool.
The frustration that led to creating MOD-CSS stemmed from limitations in ready-made components like Bootstrap and the disordered feel of Tailwind.
Despite working solo on MOD-CSS, the creator dreams of engaging with users, feeling that it may be more of a personal obsession than a widely useful solution.
The creator ponders the impact of building MOD-CSS primarily for personal use and the challenge of promoting it effectively to a wider audience.
Considering if the client-side UI creation paradigm of MOD-CSS is outdated compared to current trends favoring server-side rendering for full page delivery.
Lessons learned from nearly five years of development include the importance of documentation, versioning, recognizing personal project fit, and the realities of project timeline.
Unconventional solutions like MOD-CSS may face challenges in adoption due to deviating from common design paths and may not attract widespread interest despite potential value.
Understanding market demand and trends is crucial when developing tools, as visibility and adoption can be influenced by factors beyond pure technical quality.
Building and promoting a tool online requires significant time, effort, and sometimes financial investment to gain recognition, even if the quality is high.
Acknowledging the specificity of tools and the effort needed for visibility online, the creator concludes with gratitude for the discussion and thanks readers.

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23 Likes

Mjtsai

292

Optional Values in SwiftData Predicates

In Core Data predicates, optional properties indicate whether the SQLite field can be NULL, not the Swift optional type.
With SwiftData, optional types in predicates truly represent optionals in Swift, requiring special handling of optional values.
Force unwrapping with '!' in SwiftData predicates may result in runtime errors even if the developer is confident the property is not nil.
SwiftData encounters runtime errors when converting predicates containing optional to-many relationships into SQL commands, as of Xcode 15C500b.

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17 Likes

Mjtsai

100

curl Takes Action Against AI Bug Reports

Stenberg, the project maintainer of curl, has taken action against AI bug reports made via HackerOne, citing the time wasted in triaging invalid reports.
Stenberg has announced that all bug reports claiming to have found a bug in curl must disclose if AI was involved in the submission process.
Any bug reporter claiming AI involvement can expect rigorous follow-up questions demanding proof of the bug's genuineness before it will be verified by the curl team.
Daniel Stenberg has stated that no valid security report assisted by AI has been received so far.

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Dev

164

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How to Dynamically Filter Pandas DataFrame by Date in Python?

Filtering Pandas DataFrame by date dynamically in Python can sometimes be challenging due to issues with logical operations and precedence when combining conditions.
To fix the filter condition, ensure that logical operators are applied correctly and conditions are wrapped in parentheses to avoid unexpected results.
A clearer approach involves initializing the filter condition to None, building the filter with correct logic inside a loop, and applying the finalized filter to the DataFrame.
By following these steps and testing your code at each stage, you can efficiently implement dynamic filtering based on dates in Pandas DataFrames.

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Dev

324

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Recurring Calendar Events in Rails

Rails Designer released v1.14 of UI Components with a fully-customizable Calendar Component.
The Calendar Component can handle recurring events by accepting an events array/collection.
The article explains how to implement recurring rules using ice_cube gem in Rails.
It provides a complete list of all events, both one-off and recurring, without storing each occurrence in the database.

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