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Unleashing Productivity with Enso: A Closer Look at Shortcuts

Shortcuts in Enso are like macros that allow users to automate tasks and simplify workflows with just a few keystrokes.
They help in performing complex actions faster and consistently, such as importing data, transforming datasets, or applying visualizations.
Shortcuts matter as they enable users to maintain momentum in their creative and technical workflows by avoiding interruptions and allowing for continuous building and thinking.
Enso's user-definable and shareable Shortcuts help teams create libraries of common patterns and best practices, accelerating knowledge sharing and onboarding processes.

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Javacodegeeks

406

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Fixing Java DateTimeParseException with LocalDateTime

When working with Java’s java.time package, encountering DateTimeParseException with the message: "Unable to obtain LocalDateTime from TemporalAccessor" is common.
Root Cause: Missing Time Component - The exception often occurs when trying to parse a date-only string into a LocalDateTime, which requires both date and time components.
Resolution: Use LocalDate Instead - Switching to LocalDate when the input string contains only a date ensures successful parsing.
Using LocalDate.parse() with a Built-in Formatter simplifies the parsing process for date-only strings by utilizing DateTimeFormatter.ISO_LOCAL_DATE.
For LocalDateTime parsing, DateTimeFormatter.ISO_LOCAL_DATE_TIME is suitable for strings containing both date and time components in ISO-8601 format.
Appending Default Time If Missing - Solutions include using .atStartOfDay() when converting from LocalDate to LocalDateTime or manually appending a default time.
Final Tips to Prevent the Exception: Use .atStartOfDay(), match formatters, choose the correct date-time type, and utilize DateTimeFormatter.ISO_LOCAL_DATE for robust parsing.
In Conclusion, understanding the causes and remedies for DateTimeParseException related to LocalDateTime in Java is crucial to handling date-time parsing effectively.
The article provides code examples and tips to address and prevent the exception, emphasizing the importance of proper date-time handling.
Developing proficiency in Java date-time operations and error handling can enhance one's Java programming skills significantly.

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Dev

146

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DevOps in 2025: the future is automated, git-ified, and kinda scary but fun.

DevOps in 2025 has evolved to focus on automation, collaboration between humans and AI agents, and self-healing platforms.
Platform engineering has emerged as a key concept, enabling teams to create reusable infrastructure layers for faster development.
AI-driven processes such as BotOps are becoming standard, with AI handling tasks like testing, deploying, and incident management.
GitOps has shifted from a buzzword to a crucial operating mode, emphasizing automation with version control for deployments.
Containers are still relevant, with Kubernetes being essential, while WebAssembly (WASM) is gaining popularity for faster app execution.
Security is integral at every stage, with DevSecOps practices ensuring security from code commits to production behavior.
The DevOps culture in 2025 emphasizes autonomy, asynchronous communication, and improved work-life balance for remote-first teams.
Skills needed in 2025 include platform thinking, interaction with AI tools, system design, security practices, and strong soft skills.
Legacy practices like manual configurations, Bash scripts, and legacy CI tools are being replaced by modern, automated solutions.
DevOps engineers are transitioning to roles like Platform Engineer, SRE, and DevEx Engineer, focusing on broader aspects of platform management.
The DevOps landscape in 2025 is characterized by automation, collaboration, and a shift towards sustainable learning and personal growth.

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Dev

141

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Tracking Telemetry in Power Platform Plugins

Power Platform plugins are crucial components in IT solutions, requiring telemetry tracking for issue diagnosis and system visibility.
Utilizing ILogger interface combined with Application Insights for telemetry in Power Platform plugins has limitations like delayed data, lack of granularity, and authentication issues.
Direct integration with Azure Monitor Telemetry Client library provides a more efficient way to handle telemetry, offering full control and performance.
Considerations for using the library include configuring multiple Application Insights instances, authentication methods, and storing configuration data.
Including specific telemetry attributes like CloudRole, OperationId, and AuthenticatedUserId enhances data interpretation and debugging.
Demonstrations show how telemetry setup in Power Platform plugins provides actionable insights, end-to-end tracing, and system interaction visualization.
The Azure.Monitor.Telemetry library enables complete observability and real-time diagnostics for Power Platform plugins, enhancing reliability and development efficiency.
With a well-configured telemetry strategy, development teams can ensure system transparency, improve diagnostic capabilities, and track plugin performance accurately.
Observability is crucial in modern business applications, and the right tooling like Azure Monitor Telemetry Client is essential for achieving it within Power Platform plugins.

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Dev

127

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10 open-source MCPs that make your AI agents smarter than your team lead

AI agents, although smart, often lack direction and coordination, leading to inefficiencies in tasks.
Mission Control Platforms (MCPs) act as a strategy layer to provide structure, memory, and coordination to AI agents.
This article introduces 10 open-source MCPs that can transform AI agents into synchronized operational teams.
Examples include CrewAI for organizing agents into crews, LangGraph for graph-based orchestration, and AutoGen for chat-based collaboration.
SuperAgent offers a user-friendly web UI for agent orchestration, while Camel focuses on role-playing interactions between agents.
Other MCPs like AgentVerse, MetaGPT, and Langroid provide various features such as communication mechanics, role assignments, and fine-grained control over agent behavior.
Tips are provided on choosing the right MCP based on UI/CLI preferences, memory, logic control, and project requirements.
Potential use cases range from content pipelines and research assistants to autonomous coding agents and scenario simulations.
It is advised not to use an MCP for simple projects where memory, tool use, or multi-agent coordination are not necessary to avoid unnecessary complexity.
Additional tools like vector databases, agent toolkits, and observability plugins are recommended to enhance agent capabilities.
In conclusion, embracing MCPs can empower AI agents to perform tasks efficiently, collaborate effectively, and fulfill specific roles within different workflows.

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7 Likes

Medium

379

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How to Redact a PDF: A Step-by-Step Guide to Protecting Sensitive Information

Redacting a PDF involves permanently removing or obscuring sensitive information to protect privacy.
To redact a PDF securely, a tool like UniDoc can be used to select and permanently delete the sensitive content.
After selecting the content for redaction, ensure accuracy by reviewing and confirming complete removal of sensitive details.
Saving the redacted PDF as a new file is recommended to preserve the original content and prevent accidental exposure of private information.

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Medium

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Composable State Machines in TypeScript: Type-Safe, Predictable, and Testable

The article discusses building a composable, type-safe state machine library in TypeScript and demonstrates its usage in a UI flow.
It covers defining generic types for states, events, and transitions and creating a builder to register states and transitions.
The use of advanced TypeScript features like discriminated unions for states and events ensures compile-time error checking and guard checks allow for conditional transitions.
The importance of unit testing, error-recovery transitions, and the use of XState for advanced features like visualization tools and hierarchical states is also highlighted in the article.

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Medium

201

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Demystifying AWS Global Infrastructure: A Simple Guide with Real-World Insights

AWS has 36 regions and 114 Availability Zones globally for high availability, scalability, and resilience.
Rovio leveraged AWS global infrastructure for cost-effective, flexible, and reliable backend, ensuring seamless gameplay experiences for users worldwide.
Liberty Latin America used AWS Local Zones and Outposts to achieve 99.999% availability, reducing latency and improving user experience for over a million subscribers in Puerto Rico.
Global Red migrated to AWS for handling data streams and real-time analytics, processing billions of events monthly, reducing costs, and improving response times for clients in Southeast Asia.

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Dev

438

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How to Use Grok AI in Telegram

GrokAI, developed by xAI, is an AI chatbot with real-time internet access and a bold personality.
This guide explores using GrokAI in Telegram for news, productivity, coding, and more.
Telegram's automation combined with GrokAI's insights offers instant information retrieval and coding help.
Two main methods for integration: Using third-party GrokAI bots or building your own GrokAI Telegram bot.
Third-party GrokAI bots offer quick access but lack privacy and stability.
Building your own GrokAI Telegram bot requires an X Premium+ account and basic Python/Node.js skills.
Real use cases for GrokAI on Telegram include news summaries, coding help, and personal assistant tasks.
Tips for better performance include rate-limiting messages and keeping X credentials private.
Using GrokAI in Telegram offers a smart and seamless experience for various tasks.
Even with limited official API access, this guide equips users to bring GrokAI to Telegram effectively.

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26 Likes

Dev

315

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Demystifying Structs in Zig: Composition, Defaults, and Packed Layouts

Zig’s struct type is versatile, supporting features like compile-time defaults, field introspection, and precise memory layouts.
Defining structs in Zig involves grouping related data together, accessing fields using dot notation, adding default values for fields, and using structs for composition.
Zig promotes composition over inheritance, enabling clean nesting of structs and allowing packed structs for low-level or binary operations.
Zig's struct system offers a clean, composable design, fine memory layout control, compile-time defaults to reduce boilerplate, and type-safe introspection tools.

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Medium

109

Flexbox vs Grid, When to Use What

Flexbox and Grid provide easier styling options by allowing alignment and layout control.
Flexbox is ideal for aligning items in a row or a column, while Grid is suitable for structured layouts with rows and columns.
Flexbox is great for simpler applications that need alignment in one direction, while Grid is useful for aligning items within the overall page layout.
Using a combination of Flexbox and Grid in a design can enhance flexibility and customization in creating layouts.

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6 Likes

Dev

5.5k

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Platform Engineering: The Next Evolution of DevOps Teams

Platform Engineering is the next evolution in software infrastructure management, surpassing traditional DevOps practices.
Platform Engineering focuses on building internal platforms to simplify the software development lifecycle, allowing developers to concentrate on delivering features.
It is necessary because DevOps alone does not address the complexity and inefficiencies in cloud setups and tool sprawl.
A Platform Engineering team typically manages Infrastructure as Code, CI/CD pipelines, developer self-service portals, observability, and pre-configured Kubernetes clusters.

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Javacodegeeks

260

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Why @EnableHypermediaSupport Breaks Some Auto-Configurations in Spring Boot

Introducing @EnableHypermediaSupport in Spring Boot can disrupt auto-configuration, causing unexpected behavior or broken configurations.
Understanding @EnableHypermediaSupport: It enables support for hypermedia formats like HAL but can override or disable certain Spring Boot auto-configurations.
How @EnableHypermediaSupport interferes with auto-configuration: It can introduce conflicting beans, override default settings, and face incompatibility issues with different Spring Boot versions.
Best practices to avoid auto-configuration issues include relying on Spring Boot's auto-configuration, using conditional configuration, staying updated with versions, and using official resources for migration.

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Python Blogs

1.8k

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How to Use AI for Video Editing in 2025

Artificial intelligence is revolutionizing video editing in 2025, making it accessible and efficient for creators of all kinds.
AI can assist with tasks like auto-cutting boring parts, adding suitable music, color correction, subtitle insertion, and scene detection.
Top AI-powered editing tools like Adobe Premiere Pro, Runway ML, Descript, and Pictory are recommended for users.
By following simple steps of uploading videos, letting AI analyze, making choices, and reviewing the results, anyone can create professional videos quickly and easily.

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30 Likes

Medium

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Guarding the Digital Frontier: How AI Programmers Are Reinventing Cybersecurity

In the realm of cybersecurity, artificial intelligence (AI) programmers are at the forefront, developing advanced systems to safeguard digital infrastructures around the clock.
Cybercrime is escalating globally, with the projected annual cost expected to reach $10.5 trillion by 2025.
Key statistics underscore the severity of cyber threats, necessitating more sophisticated defense mechanisms beyond traditional security measures.
AI plays a vital role by enabling faster analysis, learning, and response to security incidents, surpassing human capabilities in threat detection and mitigation.
AI programmers are instrumental in creating adaptive algorithms that enhance cybersecurity measures and protect against evolving threats.
AI tools are effectively utilized in email analysis for phishing detection and by financial institutions to identify fraudulent transactions swiftly.
AI-powered endpoint security tools, like those employed by companies such as CrowdStrike and Sentinel One, enhance defense against ransomware and other threats.
However, challenges arise in using AI for cybersecurity, including the need to balance sensitivity and accuracy, address biases in data training, and ensure transparency in AI decision-making processes.
AI augments cybersecurity professionals rather than replacing them, allowing human experts to focus on strategic decision-making while AI handles routine tasks.
In the evolving landscape of cybersecurity, AI programmers are in high demand for roles like AI Security Engineer, Threat Detection Algorithm Developer, NLP Security Analyst, and Security Data Scientist.
As cyber threats evolve, organizations are increasingly relying on skilled AI programmers to develop cutting-edge defenses and keep pace with adversaries in the digital realm.

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