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Maximizing Software Business Growth with HubSpot CRM

HubSpot CRM is a valuable tool for software businesses looking to maximize growth by streamlining sales, marketing, and service workflows.
The CRM provides actionable insights by turning data into clear information, facilitating real-time decision-making, and offering full-funnel visibility.
HubSpot CRM's automation features help save time by handling repetitive tasks, allowing teams to focus on building relationships and delivering value.
The platform is scalable, adaptable, and promotes collaboration between sales and marketing, ultimately driving growth and increasing customer lifetime value.

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Medium

243

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My Cybersecurity News Aggregator: Built with GitHub Actions

GitHub Actions is being utilized for automating the Cybersecurity News Aggregator, making it efficient and self-updating.
The news aggregator is a clean, responsive website that gathers the latest cybersecurity stories from top sources in one repository.
This automation setup not only saves time but also allows for deeper exploration of cybersecurity trends without the hassle of managing multiple tabs.
To explore the code for this Cybersecurity News Aggregator built with GitHub Actions and share your own innovations, visit https://github.com/ricomanifesto/SentryDigest

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Medium

291

SaaS Best Practices: 15 Essentials for Building Scalable, Secure, and Successful Platforms

Enforce tenant isolation and security measures at all layers of your SaaS platform by using middleware or policies to inject tenant context automatically.
Implement a clean architecture that decouples concerns using different layers such as Domain, Application, Infrastructure, and API to ensure business rules are pure and easily testable.
Utilize standards like OAuth2/OpenID Connect for authentication and authorization, and implement tenant-aware Role-Based Access Control (RBAC) or Attribute-Based Access Control (ABAC) for security.
Focus on observability by tagging logging, metrics, and tracing with tenant information and leverage tools like Serilog, OpenTelemetry, and Application Insights for better insights into platform performance.

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17 Likes

Medium

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Deterrent Systems: An Emerging Function for Unstable Infrastructure

Traditional tools like Security Engineering, Trust & Safety, SRE, Compliance, and UX were not designed to protect system-level integrity from design onward.
Deterrent systems function emerges to identify new attack surfaces due to speed and volume, design friction to prevent fragility, and address emergent harms across AI, automation, and user interactions.
This function aims to make systems legible during failures or abuse, act as a bridge between Ops, Product, Security, and Design teams, and elevate infrastructure-level user trust as a measurable concern.
Deterrent systems work involves preventing cascading errors in AI systems, mapping vulnerability points in complex workflows, studying how automation affects compliance, and addressing long-tail systemic harms caused by fast-paced systems.

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Medium

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Programming languages in the age of AI

The author argues that programming languages are becoming obsolete in the age of AI.
They draw parallels between historical advancements and the current rapid evolution of technology.
Assemblers became outdated with the introduction of compilers and personal computers in the 1980s.
AI has now mastered interpreting complex human languages, eliminating the language barrier.
Programming languages are seen as less complex and formal, making them easily translatable for AI.
The extensive libraries and documentation available to programmers can be comprehended by AI language models.
While developers may not become obsolete, their roles will shift towards problem analysis and system architecture.
Important skills for future developers include problem analysis, system architecture decisions, and software design.
The ability to structure requirements, minimize dependencies, and create a suitable design are crucial for efficient software development.
AI may not yet replace developers due to challenges in system architecture and articulating problems clearly.

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Medium

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How Values Get Passed in JavaScript Functions

In JavaScript, primitive values like numbers, strings, and booleans are copied when passed into functions.
The function works with a copied version of the primitive, leaving the original value unchanged.
Passing primitives to functions ensures that changes made inside the function do not affect the original value.
JavaScript sets aside new memory space for copies of primitives during function calls.
Primitives provide predictability as their values don't change unless intentionally reassigned.
On the other hand, objects and arrays are passed by reference in JavaScript functions.
When objects or arrays are passed, both the original variable and the function parameter share the same underlying object.
Changes made to objects or arrays inside a function reflect outside because they operate on the same shared memory location.
Passing objects or arrays into functions can lead to unexpected changes if not handled carefully.
While passing by reference may introduce surprises, it also allows JavaScript to handle complex data structures efficiently.

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Medium

313

3 AI Tools That Are Quietly Replacing Entire Jobs—And What You Should Be Doing Instead

AI tools are quietly replacing entire jobs by performing tasks such as research, report drafting, financial trend extraction, and scheduling.
To stay economically relevant, focus on outcome ownership and become the strategist rather than the assistant being replaced by AI.
Instead of being replaced by prompt-driven AI, position yourself as a creative director or launch your own visual content brand using AI tools to dominate low-competition niches.
In the AI age, prioritize building, licensing what you create, and turning knowledge into equity to stay ahead and be among those who own and control the systems.

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Hackernoon

403

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Code Smell 298 - How to Fix Microsoft Windows Time Waste

Skipping status reports in conditional branches leads to silent delays and race conditions, impacting user experience and system performance.
The lack of handling edge cases in code can result in unpredictable behavior and unexpected delays.
A Microsoft example highlighted how missing edge case handling caused delays in Windows 7's login process.
Properly handling edge cases is crucial for robust software design and improving user experience.
The sample code comparison shows the importance of always reporting status regardless of conditions.
Static analysis tools can help detect conditionals that impede critical reporting calls.
Maintaining a one-to-one correspondence between real-world states and program states is essential for accurate system behavior.
Failure to handle edge cases can lead to user dissatisfaction and unpredictable system behavior.
Signal completion unconditionally in initialization code to ensure smooth system functioning.
Addressing code smells like conditional logic silencing critical signals is crucial for maintaining software reliability and user trust.

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24 Likes

Medium

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What is Graceful Shutdown? and how it affect our application?

Graceful shutdown is a controlled process where an application terminates in an orderly manner, minimizing impact on end-users.
During deployments or system terminations, graceful shutdown ensures minimal disruption and fast recovery times.
Operating systems send SIGTERM signals to applications to initiate graceful shutdown.
In HTTP servers, in-flight requests may be affected if not handled properly during graceful shutdown, risking data loss or corruption.

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Dev

179

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Podman: Detailed Overview, Advantages, Disadvantages, and Setup

Podman is an open-source container engine that allows users to create, manage, and run OCI containers and pods across Linux, macOS, and Windows, operating without a central daemon, offering benefits in security and flexibility.
Advantages of Podman include Daemonless Operation, Rootless Containers support, Docker compatibility, Pods and Kubernetes Integration, systemd Integration, improved performance, and more efficient resource consumption.
Disadvantages of Podman include a learning curve for certain features, a smaller ecosystem compared to Docker, networking limitations, and evolving feature maturity particularly in orchestration and high availability.
For installation and setup, Podman provides straightforward steps for Linux, macOS using Homebrew or official installer, and Windows where it utilizes Windows Subsystem for Linux. Basic configuration and settings can be adjusted through configuration files and environment variables.

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Medium

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Arcium Testnet Goes Live: Ushering in the Encrypted Era of Web3 Computing

Arcium, the team behind the encrypted supercomputer, launched its public testnet on April 24, 2025, introducing a new paradigm in encrypted computing.
Arcium is built to provide transparency when needed and privacy where it matters using Multi-Party Computation (MPC) technology, catering to crypto, institutional, AI, healthcare, and research use cases.
It aims to address the challenge of extreme transparency in current blockchain technology by offering a decentralized environment where encrypted data can be computed, audited, and verified without being exposed.
The Arcium testnet signifies a shift towards a new computational era where privacy becomes a feature rather than a limitation, enabling a wide range of industries to engage with blockchain-based infrastructure.

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5 Likes

Medium

233

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Day 3 of 20: Teach JavaScript to Make Decisions — Master Conditions That Power Every App

JavaScript conditions are essential for writing smart and responsive logic in code.
Conditions are used for making choices in code, like displaying different messages to users or controlling game logic.
JavaScript conditionals are great for basic checks, scenarios with clear true/false outcomes, multiple possible outcomes, concise conditional assignments, and comparing a single variable to many constants.
Mastering JavaScript conditionals is key to developing applications that can make decisions based on different scenarios.

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14 Likes

Medium

376

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AI-Terminal-X >> Ai-Powered Intelligent Linux Command Line Copilot

AI-Terminal-X is an AI-powered assistant integrated into the Linux terminal to help users generate commands in plain English.
Developed by Muhammad Izaz Haider, it aims to simplify interaction with Linux, particularly beneficial for distributions like Kali Linux.
It leverages Google's Gemini AI for natural language understanding, making it intuitive to use for Linux users.
Users can follow specific steps to set up AI-Terminal-X and ensure system safety by reviewing commands before execution.

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22 Likes

Medium

Why Striving for Perfectionism as a Beginner Is Misguided

When learning to code, striving for perfection too early can hinder progress by replacing curiosity with stress.
Focusing on clean code is great, but fixating on perfection can prevent experimentation and learning through mistakes.
Programming is about problem-solving, which involves breaking down tasks, moving data, and troubleshooting.
Writing small pieces of code, testing them, and fixing errors is crucial for real understanding and skill development.
Prioritize functionality over elegance in the beginning stages of coding to see tangible results and build confidence.
Asking for feedback on working code with specific questions can aid in targeted improvement without unnecessary tweaking.
Embrace the process of building, breaking, and fixing code to facilitate growth and enhance coding proficiency.
Confidence in coding comes from trying, failing, and persisting through challenges, not from achieving perfection.
Instead of seeking perfection, focus on making progress, celebrating small victories, and learning from mistakes to advance skills.
Writing functional, albeit messy, code initially and refining it gradually leads to better understanding and skill enhancement.

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2 Likes

Medium

408

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My LinkedIn Went Private (and an Exciting Update on My Learning Journey)

The author's LinkedIn account has gone private temporarily, but they are focusing on independent learning to enhance their software development and Productive AI Augmentation skills.
The author is embarking on a new learning journey to become more versatile by working on both front-end and back-end development.
They have completed programs like the Meta Front-End Developer Program, Cloud Native, DevOps, Agile & NoSQL Essentials, and Google Prompting Essentials, along with other valuable courses on platforms like Coursera.
The author is actively engaged in enhancing their software development skills and exploring the synergies between Productive AI Augmentation and software development to enhance productivity and workflows.

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