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Why You Need an AI Code Checker

AI code checkers are essential to differentiate between human-written and AI-generated code, ensuring quality, security, and adherence to coding standards.
They help detect AI-generated code, errors, vulnerabilities, enforce coding standards, and analyze performance.
AI-generated code, while powerful, poses risks like plagiarism, security vulnerabilities, lack of original problem-solving, and the 'AI Hallucination Problem.'
Key functions of AI code checkers include analyzing code structure, comments, complexity, metadata, and using stylometric analysis.
Popular AI code checker tools in 2025 include CodeBERT, Copyleaks, ZZZ Code AI, and GalaxyAI Code Checker.
Checking for AI-generated code manually involves looking for perfection, testing understanding, unusual variable names, and using static analysis tools.
AI testing agents like Keploy offer alternatives for unit test generation in VS Code or GitHub, emphasizing responsible AI usage.
Developers are urged to understand AI-generated code, test thoroughly, and consider AI code checkers before deployment.
AI-generated code is a valuable tool when used responsibly, and leveraging AI can enhance development skills.
FAQs address accuracy of AI code checkers, ethical considerations, the future role of AI in coding, trust in AI-generated code, and the availability of Keploy PR Agent.

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Dev

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Declare an array in TypeScript

In JavaScript, you declare an array like this: const fruits = ['apple', 'orange', 'banana'];
In TypeScript, declare an array with type like this: const fruits: string[] = ['apple', 'orange', 'banana'];
Avoid declaring an empty array with const fruits: [] = [], as it's incorrect in TypeScript.
Also, refrain from using 'any' type in arrays in TypeScript, like const fruits: any[] = [1, 2, 3].

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Dev

288

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Maximizing Software Quality and Accelerate Test Execution with Tosca Automated Testing

Tosca Automated Testing by Tricentis revolutionizes software testing with AI-powered automation and CI/CD integration.
It simplifies testing in agile and DevOps environments, enhancing software quality and release efficiency.
Key features include model-based automation, object recognition, and self-healing capabilities.
Tosca integrates seamlessly with CI/CD tools for continuous testing and defect detection early in development.
Performance testing features of Tosca assess scalability, system responsiveness, and load handling capabilities.
The tool offers end-to-end test coverage for web, mobile, APIs, and enterprise applications.
Best practices for Tosca include modular test design, AI-powered self-healing, and integration with DevOps pipelines.
Tosca enables organizations to minimize testing time, enhance software reliability, and reduce maintenance efforts.
By leveraging Tosca's capabilities, enterprises can focus on innovation and business growth while ensuring software quality.

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Medium

280

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When pixels lie: how Deepfakes are haunting teen life

Deepfakes have evolved from a distant sci-fi threat to a concerning reality in high schools, where AI-generated media is causing chaos among teenagers.
Popular tools like FaceMagic and Zao provide teens with easy access to face-swapping, voice-cloning, and video manipulation capabilities.
Teenagers now have the power to create realistic deepfakes that can easily damage someone's reputation or cause emotional harm.
The widespread accessibility of deepfake technology has shifted it from harmless theory to a weapon for humiliation and deception.
Platforms like YouTube and TikTok contribute to the spread of deepfakes by boosting content that garners clicks, leading to ethical concerns.
Legislation around deepfakes is still in its early stages, with some states having laws focusing on specific aspects like nudity or politics.
Victims of deepfakes, especially teens and women, report severe emotional trauma comparable to real-life harassment and bullying.
Efforts to combat deepfake misuse include promoting media literacy, implementing safeguards in tools, and seeking legal recourse when necessary.
Schools can play a crucial role in educating students about the risks and ethical considerations surrounding deepfake technology.
Ethical developers are called upon to enhance tools with features like watermarking and consent-based inputs to mitigate potential harm.
Deepfakes have the potential to amplify storytelling and creativity when used transparently, but misuse in low-stakes environments can have detrimental effects.

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Hackernoon

194

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Rethinking Your Git Strategy? Trunk-Based Development May Be the Answer

Trunk-based development (TBD) offers a solution to the challenges of managing feature branches in large development teams, promoting faster feedback and better collaboration.
TBD involves integrating small increments directly into the main branch, relying on feature toggles to enable unfinished features safely.
By shifting focus from isolated delivery to continuous collaboration, TBD reduces integration risks and speeds up the development cycle.
Core principles of TBD include frequent integration, short feedback loops, feature toggles, an always-deployable main branch, and collaborative development.
TBD differs from GitFlow in terms of branching model, integration timing, release management, risk level, and developer workflow.
Short-lived branches and direct commits to the main branch are key practices in TBD to reduce the risks associated with large, long-lived feature branches.
Feature toggles play a crucial role in TBD, allowing for safe deployment of features and controlled feature visibility without disrupting users.
Continuous Integration (CI) and Continuous Deployment (CD) pipelines are essential in TBD to ensure every change is validated quickly and reliably.
Effective management of feature toggles is critical in TBD to avoid technical debt and maintain a clean codebase over time.
Transitioning to TBD requires a gradual shift, working with a review culture, minimizing feature branch lifespan, and effective automation and testing.

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Hackernoon

393

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This One Command Lets You Live-Edit UIKit Apps Like It's SwiftUI

When working on UIKit-based iOS projects, making quick UI adjustments while the app is running can be time-consuming.
You can leverage LLDB to update your app’s UI in real time while it runs in the iOS Simulator, particularly helpful for projects still built on UIKit.
The step-by-step guide involves setting up your code, pausing the app with a breakpoint, using LLDB to change the UI, and highlighting the importance of using the main thread for UI updates to avoid issues.
By using LLDB for real-time UI updates in UIKit projects, developers can improve productivity and debugging efficiency, especially in legacy or ongoing projects.

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Medium

166

How to learn programming — the do’s and don’ts.

The article satirically discusses the 'do's and dont's' of learning programming in a sarcastic tone.
It discourages actual hands-on learning, suggesting viewers watch tutorials at accelerated speeds and take copious notes.
The article advises continuous tutorial watching and discourages individual coding without guidance.
It pokes fun at the idea of building projects, dismissing them as unnecessary in the learning process.
Using AI for planning projects and tasks is humorously suggested as a more convenient alternative to thinking.
The satirical piece criticizes focusing on one language, promoting chaos and confusion by learning multiple languages simultaneously.
Encouraging a copy-paste approach to coding, the article humorously suggests that mastery is achieved through duplication rather than understanding.
The piece mocks the reliance on external sources like Stack Overflow and GitHub instead of troubleshooting and understanding code independently.
It concludes by satirically outlining a 'masterplan' to become a programming legend without actual learning or understanding.
The article uses sarcasm to emphasize the ironic and inefficient methods some aspiring programmers might adopt in their learning journey.
In a humorous way, it highlights the importance of genuine learning, practical experience, and problem-solving instead of relying solely on shortcuts and external aids.

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Dev

142

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We Fine-Tuned our OCR to Read Code: Here’s What It Took (and What Broke)

Optical Character Recognition (OCR) is a technology that converts text from images or scanned documents into digital text.
Pieces extended OCR capabilities to transcribe programming code accurately by using Tesseract OCR engine with LSTM-based sequence prediction.
Challenges in optimizing OCR for code included addressing dark mode, noisy backgrounds, and low-resolution images.
Enhancements like pre-processing, post-processing for layout inference, and tailored evaluation enable production-grade OCR for developers at Pieces.

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Logrocket

207

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Leader Spotlight: Re-thinking manual processes with AI, with Jim Ferguson

Jim Ferguson is currently Director of Product Management at RVO Health, with a background in IT and product management across various companies.
He led an initiative at RVO Health to automate the manual process of approving or rejecting patient reviews using AI, improving efficiency and user experience.
The project aimed to reduce the backlog of user-submitted reviews and ensure they met editorial guidelines, attributing ratings correctly.
By incorporating AI tools, the approval rate of reviews increased from 60% to about 80%, enhancing user satisfaction and accuracy.
Challenges included training the engineering team on AI, balancing complexity with simplicity for stakeholders, and addressing fears about job automation.
Training the AI involved using historical data, stakeholder feedback, and ensuring the tool provides reasons for review rejections.
Implementing the AI solution involved parallel deployment with human verification, achieving a high accuracy rate of around 96% in review approvals.
Real-time feedback features were added to guide users during review submissions, improving accuracy and user experience.
Communicating the initiative to stakeholders involved relating AI to rule enforcement, explaining the technology's language analysis capabilities.
Reflections on the project include the importance of early stakeholder involvement and the ongoing application of learnings to future initiatives.

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Medium

215

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Understanding AWS Cloud Storage: S3, EBS, and Glacier Explained for Developers (2025 Edition)

Amazon S3 is AWS’s object storage service for storing and retrieving various types of data in the cloud.
EBS is block-level storage for EC2 virtual machines, acting as a virtual hard drive with customizable size and type options.
Glacier is AWS’s cold storage service for archiving rarely accessed data like compliance logs and backups.
Optimize app performance and cost by using S3 for storage, EBS for scaling, and Glacier for archiving according to specific needs.

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Medium

109

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The 5 NumPy Array Manipulation Tricks That Always Save Me Hours

Learning NumPy tricks can save time and frustration in data manipulation for models.
Fancy indexing allows for flipping the order or using custom sequences without altering the original array.
Swapping axes on a 3D array or transposing a 2D array can be easily done with NumPy.
NumPy provides efficient ways to manipulate arrays and handle large datasets with ease.

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Dev

184

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Jest - Testing with React and React Testing Library: Useful APIs

React Testing Library provides useful APIs for testing React components.
Functions like fireEvent, waitFor, and screen are helpful for simulating user actions and checking the rendered output.
render function is used to render a component into a container appended to document.body.
Queries like querySelector() method, screen.getByRole(), and screen.getByText() help in selecting and verifying elements in the rendered output.

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Medium

2.3k

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No, the Code Doesn’t Speak for Itself

Some developers believe that self-documenting code is enough, but in reality, it can be like a cryptic novel missing half its pages.
Relying solely on self-documenting code can lead to confusion and frustration for new developers trying to understand the codebase.
Neglecting to provide comments, READMEs, and architecture diagrams can hinder the comprehension of the code and make it challenging for others to work with.

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Medium

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In the mind of an idiot making his own game: Part 8

After months of focused effort, the writer has completed a three-minute video relating to game development.
The Procedural Content Generation (PCG) blueprint has been a highlight in the development process.
The tool allows for quick environment creation with minimal setup and asset usage.
It significantly reduces the time needed to populate and refine a game scene.
The tool automates the process of environment creation, saving time and effort.
Experienced users can leverage the tool to create stunning open-world environments.
The writer acknowledges that handcrafting environments has its place alongside PCG.
Despite imperfections in the video, the writer is proud of the accomplishment and sees it as a learning experience.
The completion of the video marks a milestone, allowing the writer to focus on finalizing gameplay aspects for Initiate.
The writer plans to provide gameplay demos soon, anticipating further progress in game development.

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Dev

174

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HTML5 Elements You Didn't Know You Need

The article discusses the importance of lesser-known HTML5 elements that provide elegant solutions without the need for extensive JavaScript or CSS.
Examples include the element for native modal windows,
and
for collapsible content, and for autocomplete.
Other features like the element for semantic measurement display, for dynamic calculation results, and for highlighting text are highlighted.
The element is recommended for semantic dates and times, while
and
can be used for image captions.
These native HTML5 elements reduce the reliance on JavaScript, improve accessibility, and add semantic meaning to web content.
While these elements may not cover all use cases, they offer valuable alternatives before opting for third-party solutions.
The discussion encourages developers to explore and leverage these HTML5 elements for more efficient and meaningful web development.
Considerations for browser support and customization are mentioned, but the benefits of using these elements for various purposes are emphasized.
Readers are invited to share their experiences with HTML elements and engage further on platforms like Twitter, GitHub, and Discord.
Overall, the article promotes embracing the power of native HTML elements for enhanced web development experiences.
It advocates for utilizing these built-in features to simplify development processes and make web content more accessible and semantic.

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