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How to Enable CodeQL Analysis in Your GitHub Repository

CodeQL is GitHub's semantic code analysis engine for detecting vulnerabilities in code.
Enabling CodeQL analysis involves enabling GitHub Actions in your repository and setting up a CodeQL workflow file.
Customizing the workflow file based on project needs by configuring branches, languages, and scheduling.
After running the workflow, review security vulnerabilities discovered by CodeQL in the GitHub Security tab.

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Medium

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15 dev survival lessons from someone who actually made it

The article shares 15 survival lessons for developers based on real-life experiences in dealing with legacy code, bugs, and architecture challenges.
The lessons focus on mindset shifts, code clarity, refactoring with understanding, and the importance of good communication and accountability.
Key points include studying architecture before refactoring, prioritizing clear and readable code over complexity, and making small improvements consistently.
Developers are advised to ask specific questions, prioritize debugging skills, and utilize clear and detailed log messages for effective troubleshooting.
Mastering tools like IDEs, Git, and debugging utilities is emphasized, along with treating them as essential weapons in the development process.
Accountability and transparency in handling mistakes, thinking like a product owner, and naming variables and functions effectively are highlighted as crucial skills for developers.
Learning from experienced developers, taking time to understand problems before coding, and enhancing communication skills are emphasized for long-term growth.
Automating repetitive tasks cautiously, learning from well-written codebases, and staying curious and hungry for knowledge regardless of job titles are recommended for developer success.
Overall, the article encourages developers to focus on continuous improvement, clear communication, and delivering value rather than just writing code.
The lessons emphasize the importance of mindset, learning from mistakes, and approaching development with a strategic and thoughtful mindset.
By adopting these survival rules and mindset shifts, developers can navigate challenges, improve their skills, and contribute effectively to their teams and projects.
Remember, writing code that matters, communicating effectively, and continuously learning are key factors in becoming a successful and valuable developer in the long run.

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Medium

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How to start your cybersecurity career?

Before starting a cybersecurity career, question your motives and ensure genuine curiosity and patience.
Learn about Kali Linux, a Linux distribution commonly used by cybersecurity experts.
Understanding networking is crucial in cybersecurity as it forms the backbone of IT.
Start with learning tools like Nmap and Wireshark, focus on understanding commands rather than just copying them.

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Dev

199

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AI killed my coding brain but I’m rebuilding it

The article discusses how AI tools like Copilot and similar tools have impacted coding proficiency, leading to a generation of developers who rely heavily on autocomplete and struggle to code without it.
The author emphasizes the importance of understanding code rather than just shipping fast, highlighting that relying solely on AI tools for coding can hinder long-term growth and mastery.
AI-powered IDEs have replaced repetition with suggestion, potentially hindering the learning process, as repetition is crucial for solidifying coding skills.
While AI accelerates coding speed, it often results in a shallow understanding of code, which can be detrimental when faced with debugging complex issues that AI cannot resolve.
The article warns against the trend of seeking quick answers from AI tools like Copilot or ChatGPT without delving into the why behind the solutions presented.
It advocates for a balanced approach of using AI tools with a learning mindset, engaging in developer communities for perspective, doing AI-free builds to foster independent coding skills, and regularly rebuilding systems from scratch.
The article stresses the importance of going deeper into understanding code, debugging, and system design to avoid becoming a 'glorified prompt engineer' reliant on AI for coding.
Lastly, it encourages developers to focus on developing judgment, insight, and mastery beyond the superficial speed offered by AI tools, in order to excel in a future where depth of understanding will be crucial.

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Dev

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Skype is dead. Long live Teams? Why Microsoft finally pulled the plug in 2025

Skype, once an iconic app, has been officially shut down by Microsoft as of May 2025, redirecting users to Microsoft Teams.
Skype's journey from a revolutionary peer-to-peer voice and video platform to a forgotten app was marked by unnecessary redesigns and confusing updates.
Microsoft's decision to replace Skype with Teams was driven by the need for a more integrated, robust communication tool suitable for remote work and collaboration.
Teams offers features like real-time chat, video conferencing, file sharing, and deep integration with Office 365, making it a strategic choice for Microsoft.
The decline of Skype was evident in its failure to keep up with evolving technology trends and meet the needs of businesses and users.
Despite Skype's legacy as a pioneer in video calling and global connectivity, it could not compete with newer platforms like Zoom, Discord, and FaceTime.
The shutdown of Skype signifies the rapid evolution of technology and the importance of adapting to changing user demands and industry standards.
Lessons from Skype's shutdown include the significance of good UX, continuous innovation, and prioritizing user feedback in tech development.
Users are advised to export their Skype data before the app is fully discontinued and transition to Microsoft Teams for future communication needs.
Skype's shutdown represents the end of an era and a shift towards more integrated, all-encompassing productivity tools like Microsoft Teams.
While Skype may have faced a slow decline, its impact on global connectivity and video calling will be remembered in the tech hall of fame.

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Medium

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Missed the AI Boom? You’re Right on Time for AGI

Artificial General Intelligence (AGI) is a type of AI that can perform any intellectual task a human can do, unlike narrow AI which is specific to certain tasks.
AGI is characterized by its ability to reason, learn, adapt, and apply knowledge across various domains, making it a thinking machine.
Companies like OpenAI, DeepMind, and Anthropic are actively working towards AGI with models like GPT-4o, Gemini 1.5, and Claude Opus that can reason across text, vision, and audio.
While we are closer than ever to AGI in 2025, it still remains a frontier with many unsolved problems and open questions.

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Dev

353

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Grafana 12 just leveled up observability as code and dashboards that think

Grafana 12 introduces observability as code and dynamic dashboards to elevate monitoring setups.
Observability as Code (OaC) allows managing dashboards with Git integration and declarative configs.
Benefits of OaC include portable monitoring setups, repeatable workflows, and better audits.
Grafana's new dashboards-as-code feature integrates with CI/CD flows like GitHub Actions and Terraform pipelines.
Dynamic dashboards in Grafana 12 adapt based on variables, context, and user-specific views to reduce duplication.
Improved data sources like Prometheus integration with better autocomplete and Loki enhancements benefit users.
Plugin SDK 2.0, new visual panels, and enhanced community plugins contribute to the expanded Grafana ecosystem.
UI/UX enhancements in Grafana 12 focus on navigation, themes, onboarding, and smoother custom variables and filters.
Grafana 12 Enterprise features include Role-Based Access Control, scheduled reporting, audit logs, and advanced data source caching.
The update also emphasizes a user-friendly UX, improved onboarding, and enhancements for enterprise users.
Grafana 12 offers features like memes, dev hot takes, and upgrades that appeal to the developer community.

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Dev

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This week in devland: GPUs, agents, and the AI arms race nobody signed up for

DigitalOcean has introduced new NVIDIA GPU droplets for machine learning, video processing, and rendering, offering top-tier enterprise GPUs and a developer-friendly experience at competitive pricing.
Uno Platform has launched agentic UI components that use artificial intelligence to simplify frontend development by creating intelligent, responsive entities for navigation, data-binding, and layout decisions.
NVIDIA has released open access to AI models like Nemotron-4 340B and Code LLMs for research and commercial experimentation, although with restrictions on commercial use.
HCL Software has unveiled Uno, an agent-based platform for building AI-powered business applications to streamline workflows and user actions within enterprises.
MuleSoft's AI Core v2.0 offers workflow suggestions, automatic connector generation, and natural language-to-logic features to simplify enterprise pipeline integrations and reduce manual coding.
The latest developments in software development signal a shift towards AI-infused infrastructure, smarter dev workflows, and agent-based logic systems to enhance efficiency and automation.
Developers are encouraged to explore tools like DigitalOcean GPU Droplets, Uno Platform Agentic UI Components, NVIDIA's Open Models, HCL Uno Enterprise Agent-Based App Builder, and MuleSoft Automation tools to adapt to the changing landscape.
In this era of agentic technologies and AI advancements, developers are urged to experiment, adapt, and leverage these innovative tools to stay competitive and drive progress in the industry.
Despite the increasing automation and AI integration in software development, developers retain control over the decision-making process and are encouraged to embrace these advancements to enhance their projects.

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Dev

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Why we broke up with kubernetes and found happiness in simplicity

The article discusses the decision of a DevOps team to move away from Kubernetes in search of simplicity and happiness in managing their cloud infrastructure.
Initially, embracing Kubernetes was seen as joining the elite club of DevOps but soon turned into a burden requiring more effort in debugging and management.
The team realized that for their needs, stability, simplicity, and ease of operation were more critical than the extensive capabilities offered by Kubernetes.
Issues like misconfigurations, network problems, and downtime caused by small errors in YAML files led to the team's decision to break away from Kubernetes.
After switching away from Kubernetes, the team focused on essential infrastructure needs like fast deploys, simple rollbacks, and high availability.
They explored alternatives such as ECS, Fly.io, and reverted to using Docker with CI/CD for their deployments, opting for clarity over complexity.
Moving away from Kubernetes not only simplified their infrastructure but also transformed their engineering culture, reducing burnout and improving productivity.
The team experienced benefits like decreased incidents, faster onboarding for new developers, cleaner codebase, and a stronger focus on product development.
The shift towards simplicity and practicality in decision-making resulted in shorter meetings, fewer blockers for developers, and increased shipping frequency.
The article emphasizes that while Kubernetes has its strengths for large-scale, complex infrastructures, simplicity often leads to more efficient operations for teams at different stages.
Choosing simplicity over complexity brought the team confidence in deployments, clarity in architecture, and overall improved peace of mind in managing their infrastructure.

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Dev

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Daily JavaScript Challenge #JS-182: Find the Smallest Positive Integer Not in Array

Daily JavaScript Challenge: Find the Smallest Positive Integer Not in Array
Given an array of integers, find the smallest positive integer missing from the array.
Challenge difficulty: Medium, Topic: Array Manipulation.
Join the discussion on approaches, edge cases, and learnings on this challenge.

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Dev

103

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Why redis is losing friends and valkey is gaining them

Redis, once a beloved in-memory data store, is now facing backlash due to a controversial change in licensing from the permissive BSD license to the SSPL, prompting major Linux distros like Debian, Fedora, Alpine, and openSUSE to drop Redis from their repositories.
This licensing shift by Redis Labs has caused concern among developers, distro maintainers, and cloud providers, leading to legal uncertainty and a loss of trust in the reliability of Redis for deployment.
In response to this, Valkey emerged as a community-driven drop-in replacement for Redis, maintaining the old-school BSD 3-Clause license and garnering support from the Linux Foundation for stability and transparency.
Valkey aims to provide a reliable alternative to Redis without the legal complications, gaining traction among developers and even catching the attention of cloud providers like UpCloud, which now supports Valkey as a core service.
While Redis still holds recognition for its performance and ecosystem, Valkey stands out for its commitment to trust, openness, and transparency, leading developers to consider making the switch for long-term benefits.
The shift towards Valkey signifies a broader trend of developers becoming more license-savvy and emphasizing governance and openness in software choice, indicating a potential future where trust carries more weight than legacy brand recognition.
With Valkey gaining ground and developers increasingly focusing on trust and community-driven projects, the story highlights the importance of not just evaluating code performance but also considering the governance and licensing behind the software.
Amidst the evolving landscape of in-memory databases and open-source licensing, the focus on trust and community values is reshaping software adoption decisions, with forks like Valkey offering a principled alternative to established but controversial choices like Redis.
As the industry navigates the implications of open-core licensing and the power of developer communities, the shift towards projects like Valkey serves as a reminder to prioritize trust in both the code and the people behind the software.
In a world where trust and governance play significant roles in software selection, Valkey represents a move towards more transparent, community-driven alternatives in response to licensing changes that challenge the foundational principles of open source.
The emergence of Valkey stands as a testament to the importance of trust, governance, and transparency in software choices, signaling a shift towards community-backed, license-conscious solutions over legacy options like Redis.

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Dev

131

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Why every dev needs a coding journal no, your memory isn’t enough

Keeping a coding journal is essential as your brain is not optimized for storage but problem-solving.
Logging daily wins, blockers, decisions made, command-line spells, and things you had to Google can help improve your coding journey.
Tools like VS Code with Git, Obsidian, plain text with cron, or jrnl CLI can assist in journaling effectively.
Journaling helps developers debug their thinking, gain clarity in complexity, and build a knowledge graph of their own brain.
Senior developers also benefit from journaling, as it helps track architectural decisions, provide leadership receipts, and enhance growth.
Building a journaling habit involves starting small, stacking it with existing rituals, using templates, automating reminders, and making it fun.
A coding journal is a survival tool that improves memory, debugs thinking, tracks growth, manages burnout, and enhances collaboration and mentorship.
Journaling is not just for productivity but for becoming a better developer and teammate by documenting your coding journey.
The best devs don't just ship code; they log the journey, and a coding journal is a testament to one's dedication to self-improvement.
Documenting your coding journey can be simple and rewarding, leading to improved problem-solving skills and overall growth as a developer.
Try journaling for 7 days, even with just one entry a day, to experience the benefits firsthand and become a more effective developer.

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Medium

Always choose simplicity

A beginner programmer faced with the task of implementing email validation in a library system turns to microservices for a solution, only to find it challenging and complex.
The article suggests a simpler and more effective solution by creating a library to handle email verification logic, ensuring reusability across projects with easier maintenance.
The focus is on choosing simplicity over unnecessary complexity, emphasizing that additional layers should be added only as a last resort after careful evaluation of the situation.
The key takeaway is to always opt for the simple approach initially, seek advice from relevant sources, and scale up gradually to avoid unnecessary complications and ensure productivity.

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Medium

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A Path Down Linux Lane

Linux initially relied on CLI but later introduced GUIs like KDE Plasma and GNOME to enhance accessibility.
The flexibility of Linux distros allows users to choose between CLI and GUI interfaces.
Linux dominates in server, cloud, supercomputers, IoT, and embedded systems, showcasing its versatility and reliability.
With its reliability, security, and strong community support, Linux is a worthwhile choice for both beginners and tech enthusiasts.

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Dev

253

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How I Improved My Coding Skills by Building Small Projects

Starting small with simple projects like a to-do list or a calculator is recommended when improving coding skills.
Consistent practice by dedicating at least 30 minutes daily to coding helps in skill enhancement.
Learning from mistakes and not hesitating to debug code is essential for growth as a developer.
Utilizing online platforms like freeCodeCamp, MDN, and Stack Overflow, and sharing projects on GitHub or Dev.to can aid in skill development.

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