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The sense of achievement while using AI

The use of AI tools has challenged the sense of achievement in development.
Implementing ideas or side projects with AI tools is faster and easier than doing it manually.
The reliance on AI tools sometimes leads to a decrease in personal satisfaction and the desire to implement ideas.
The author has mixed feelings about the impact of AI tools on creativity and seeks input on how others cope with this challenge.

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Javacodegeeks

270

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Mockito in 2050: Will AI Write Your Unit Tests?

The future of unit testing is evolving rapidly with AI-powered tools like GitHub Copilot and self-healing test frameworks, allowing developers to potentially delegate a significant portion of their testing tasks to machines.
The impact of AI on popular Java mocking framework Mockito is explored in terms of AI-generated mocks, self-healing tests, and the future of Mockito in an AI-driven testing landscape.
AI-generated mocks using GitHub Copilot in conjunction with Mockito can expedite test writing, reduce boilerplate code, and adapt to existing test patterns, although they still require human validation to avoid generating flawed tests.
Self-healing tests powered by AI could potentially detect and suggest fixes for breaking changes in tests, offering solutions to issues such as method renaming that commonly cause failures in Mockito tests.
The envisioned future of unit testing includes AI-generated test suites with high coverage, mocks that dynamically adjust to code changes, and AI-driven test reviewers providing feedback on test coverage and quality.
Despite the exciting prospects of AI-generated unit tests, there are inherent risks such as over-reliance leading to superficial tests, flaky or non-deterministic tests, debugging challenges due to lack of transparency in AI-generated code, and potential vendor lock-in issues.
To navigate the challenges posed by AI in testing, developers are advised to use AI tools as assistants rather than replacements, implement guardrails like mutation testing and static analysis, curate training data, and plan for test obsolescence by documenting origins and isolating AI-generated tests.
The evolution of Mockito in an AI-dominated testing environment is predicted to ensure its survival by embracing AI advancements, featuring AI-generated tests as standard, self-healing mocks, and continued human involvement in testing complex scenarios.
The future of testing emphasizes the synergy between AI speed and human oversight to attain both efficiency and reliability, highlighting the importance of adapting to technological advancements while maintaining a balance between automation and human expertise.

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Medium

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Fractal Flux AGI II — A Self-Generating, Recursive Intelligence Framework. With math and model.

Fractal Flux AGI (FF-AGI) is a novel framework for Artificial General Intelligence based on bootstrap causality, fractal-driven feedback, and time-spiral cognition.
FF-AGI evolves intelligence recursively without requiring a first cause or static training data.
Fractal Flux AGI incorporates bootstrap causality, fractal feedback, and time-spiral cognition as its core principles.
FF-AGI demonstrates properties such as chaos control, self-correcting intelligence, and long-term memory preservation.

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Dev

283

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Quark's Outlines: Python Literals

Python literals are fixed values written directly in code without needing to be calculated or named.
In Python, string literals are written by enclosing text in quotes, and escape sequences can be used for special characters.
Numeric literals in Python include integers, floating-point numbers, and complex numbers, with different formats and bases.
F-strings in Python are string literals that allow expressions inside curly braces for dynamic text.
Literals in Python make code clearer by representing fixed values directly, like numbers, text, or logical states.
Python's literal system evolved over time, incorporating features like triple-quoted strings, formatted strings, and more.
Problems like handling special characters, large numbers, dynamic text, etc., can be solved efficiently using Python's literals.
For instance, using string literals with escape codes helps with special characters, and f-strings help with dynamic values in text.
Python's use of None as a literal represents an empty value, making it clear when a variable has no value assigned.
Python's literal forms have a rich history, dating back to early computing, evolving through different programming languages.

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Dev

354

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Using gRPC in React the Modern Way: From gRPC-web to Connect

This article explores using gRPC in React projects and interacting with backends, implementing CRUD service with React + Rust + Go.
Key concepts like Protobuf, RPC, gRPC, gRPC-web, and Connect are distinguished with their features and implementations.
Tech stack includes React, TypeScript, Vite, Rust + tonic for gRPC backend, Go + connect for Connect backend, and Protobuf files.
Usage of envoy as a proxy for gRPC-web support due to limitations in JavaScript's fetch API in handling HTTP/2 capabilities.
Handling proto files and gRPC communication involves Rust side with Tonic and frontend complexities with official gRPC-web and protobuf-ts.
Alternative solutions like bufbuild + connect for a more modern approach without complex protoc commands are introduced.
Go connect server implementation using Go connect-go for a more advanced Connect protocol communication.
Summary emphasizes distinguishing Protobuf and gRPC, proper package installations, and the role of proxy services like envoy.
Fun facts include minimizing global installations, frontend tool installations, and Go tools needed for a streamlined development process.

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Dev

345

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Why Everyone Wants to Sell You a Shovel in the Digital Gold Rush

In the ever-growing digital landscape, the internet is saturated with people trying to sell you something.
Many of these 'shovel sellers' offer recycled advice that can be found for free, preying on the fear of missing out.
While learning has become more accessible than ever, 'shovel sellers' convince you that you need one more course or secret to succeed.
The key difference lies in the best content creators who build real projects and teach you how to do the same, encouraging project-based learning.

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Dev

158

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My SaaS Emails Look Boring: That's Why They Work

Switching to plain text emails can lead to higher engagement and more genuine conversations with users.
Plain text emails are perceived as personal, honest, and intentional, making recipients more likely to read and reply.
They are minimal, clean, and focused, highlighting the content rather than distracting with visuals.
Sending plain text emails reduces the barrier to send, allowing for more frequent communication with users.
Despite looking 'simpler,' plain text emails often perform better in terms of deliverability and engagement.
They enable faster experimentation and easier testing of different email elements like subject lines and content.
For SaaS products, plain text emails can foster real conversations, feedback, and user engagement, unlike corporate-style branded emails.
Tips for switching to plain text emails include sending multipart emails, using real names in the 'From' field, and keeping subject lines short and value-focused.
They are recommended for various email types such as feature announcements, product updates, onboarding, feedback requests, and more.
Ultimately, focusing on clear, concise messaging in plain text emails can make a significant impact on user responses and product development.

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Dev

333

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Accessibility Testing Tools for Angular

The curated selection of Accessibility Testing Tools for Angular Apps is introduced in the article, emphasizing the importance of manual testing alongside automated tools.
Using Chromium-based browsers like Vivaldi, Brave, Arc, or Edge is recommended for accessibility testing, with features like the Accessibility Tree view in Chromium DevTools.
Extensions like Angular Dev Tools, WAVE A11y Testing Tool, axe DevTools, and Accessibility Insights are suggested for A11y testing, with a focus on alt text, contrast ratio, and other WCAG requirements.
The article provides insights on Automated Testing Tools like Angular ESLint, WAVE Chrome Extension, Axe DevTools, Lighthouse DevTools, PageSpeed Insights, and Accessibility Insights for A11y audits.
Manual testing recommendations include auditory accessibility tests using screen readers like NVDA, Jaws, Narrator, Voice Over, Talkback, Orca, and Read Aloud Chrome Extension.
Accessibility workshops are offered for learning Angular with a focus on A11y, best practices, and performance optimization.
The author recommends trying out different tools and finding a personal favorite, highlighting the WAVE extension and web service as a preferred choice for testing.
The article concludes with an invitation to explore the Angular Router for improved accessibility in the upcoming edition of the A11y blog series.

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Medium

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Don’t Fix It If It’s Not Broken

Sometimes, trying to improve what already works can make it worse.
Fixing stable code can risk breaking something that was not broken in the first place.
Before fixing stable code, evaluate if it meets specific criteria for improvement.
Instead of refactoring stable code, focus on stability and save changes for when it truly matters.

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Dev

374

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Create a PDF to Slide AI Generator with Python, Celery, and python-pptx 🔥🚀

We will create an AI tool to convert PDFs into PowerPoint slides using Python, Celery, and python-pptx.
The tool's architecture is inspired by SlideSpeak, an AI tool for creating slides from PDFs.
The tech stack includes FastAPI, Celery, Redis, python-pptnx, PyPDF2, OpenAI API, Docker, and Docker Compose.
The project structure involves backend, Celery tasks, and configuration files.
Steps include environment setup, configuration, data model definition, AI slide generation logic, Celery setup, task creation, PDF processing, and FastAPI updates.
The application can handle PDF uploads, extract text, generate presentations using OpenAI, and provide download functionality.
Containerization with Docker includes passing the OpenAI API key.
Benefits of the setup include separation of concerns, asynchronous processing, containerization, and type safety.
Extensions to the project can include adding more slide types, data visualization integration, or template management.
The complete code for this project is available on GitHub for further reference.

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Dev

229

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🌟 How to Create a Beautiful GitHub Profile README (With Code Example!)

A well-crafted GitHub profile README is your digital business card to the developer world.
This post explains how to create a visually appealing GitHub profile README using Markdown, badges, dynamic stats, and creative elements.
It provides step-by-step instructions on creating the README, adding basic introduction and profile visit counter, including a header image, social and portfolio badges, highlighting tech stack, showing GitHub stats, GitHub streaks and languages used, adding fun animations or GIFs, and including a call to action.
The article concludes by emphasizing the importance of regularly updating the README and maintaining a consistent color theme for visual harmony, as well as using tools like Markdown Editor to preview the design.

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13 Likes

Medium

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5 Infrastructure Nightmares and How Smart IT Teams Avoid Them

IT infrastructure failures can cause costly downtime, data loss, and reputational damage.
Smart IT teams prevent DNS failures by proactive management and strategic planning.
To defend against ransomware, smart IT teams ensure secure backups and recovery options.
Resilience is built by having backup systems in place to prevent full system outages.
Smart IT teams avoid being locked into a single vendor for hardware and software.
Scalability is crucial to handle sudden surges in user demand and prevent infrastructure slowdowns.
Continuous improvement, communication, and collaboration are key for avoiding infrastructure nightmares.

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Logrocket

270

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UX frameworks lie — Here’s what real users do

UX frameworks simplify complex user behavior, but real users often deviate from the expected paths and actions.
User personas are directional tools meant to build empathy, not scientific representations of user behavior.
Designing for real users requires understanding non-linear user journeys and flexibility in workflows.
Users may skip onboarding processes, follow different sequences, or dive into advanced features without mastering the basics.
Identifying detachment from real user behavior can be done through session recordings, usability testing, and user path analysis.
Progressive onboarding, healthy redundancy, and designing for errors and detours are key principles in designing for real users.
Contextual help, monitoring friction points, and segment-specific paths are strategies to enhance the user experience based on real user behavior.
Designing for reality, not theory, involves observing user behavior, analyzing data, and iterating on designs to meet the diverse needs of users.

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Medium

149

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Developer Nightmares: Navigating the Maze of Over-Tooling

Developers often struggle with scattered, redundant, and inefficient documentation systems.
Over-tooling results in wasted time and decreased productivity for developers.
Pitfalls of over-tooling include multiple conflicting versions of information and difficulty in locating essential details.
To overcome over-tooling, implement strategies like shared documentation and encourage collaboration.

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9 Likes

Medium

216

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Car Computer Programming Essential Tools for Modern Vehicles

Car computer programming is essential for modern vehicles to diagnose, update, and tune performance.
Special tools are required for car computer programming, such as diagnostic scanners and J2534 Pass-Thru devices.
Diagnostics scanners like OBD-II scanners help translate car issues and read engine codes.
A professional scanner can communicate with various modules in a vehicle for more complex functions.
Reprogramming a car's computer software requires a J2534 Pass-Thru device to securely update the software.
Car manufacturers offer official software updates that require subscriptions to use the Car Computer Programming Software.
Aftermarket tuning tools like HP Tuners or EFILive allow customization of engine and transmission settings but require caution.
Reprogramming a car's computer module can be risky if the battery voltage drops during the process, requiring a stable power supply.
Specialized tools are needed for programming modern car keys with transponders, usually done by locksmiths.
Acquiring the right tools for car computer programming depends on specific needs and tasks, emphasizing starting small and progressively building up the toolkit.

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