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A letter to all developers: AI and the future of software development

  • The writer set a challenge for themselves to not use AI to generate code but to dedicate time daily to a project.
  • In 2025, the writer uses an AI named Claude to explain concepts, summarize documents, and assist with programming tasks.
  • AI helps to understand complex programming concepts quickly and accurately, reducing the time needed for learning.
  • There are concerns in the software development community about potential job loss to AI.
  • The writer discusses different scenarios regarding the impact of AI on job markets, including mass unemployment and implications for various professions.
  • The potential scenarios include mass job extinction, increased demand for software developers, and a plateau in AI advancement.
  • Universal Basic Income (UBI) is proposed as one solution to mitigate the impact of job loss due to AI.
  • The writer highlights the importance of passionate developers and the need for continuous learning and adaptability in the face of AI advancement.
  • AI-assisted development is described as a current reality that developers should embrace rather than fear.
  • The article emphasizes the value of learning and maintaining curiosity, caution, and intelligence while incorporating AI in software development.
  • Senior developers are advised to lead by example and use AI technologies wisely.
  • The conclusion encourages software developers to remain patient, adaptable, and focused on building innovative solutions despite the uncertainties surrounding AI's impact on the industry.

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The Contracting Years: Distance, Solutions, and the Geographic Tuning Fork

  • The article discusses the author's contracting experiences, starting with a 250-mile journey to work on a payroll system at Somerset County Council in 1998.
  • The author later worked closer to home for Scottish Power, developing a parser to automate COBOL debugging files.
  • He then engaged in a remote working setup, utilizing ISDN, telnet, and VMware for a Windows 2000 VM.
  • Throughout the years, the author maintained a preference for simple, reliable tools like vi and Unix-based solutions.
  • The author's contracting career involved oscillations from long-distance to local contracts, culminating in roles with government departments in Liverpool, Lytham, or Preston.
  • Lessons learned included the importance of geographic optimization, the inevitability of remote work, and the value of boring skills like Unix tools and automation.
  • The author highlighted the predictable failure modes of organizations that outsourced technical expertise and the impact of political risk on technical solutions.
  • The article emphasizes being prepared for unexpected opportunities and how seemingly mundane periods can be essential preparation for future career shifts.
  • The author's journey from contracting with COBOL to Linux system administration positions him well for the industry's technological shifts.
  • Overall, the contracting years laid the foundation for the author's career pivot and underscored the importance of continuous learning and adaptation.
  • The article concludes with a teaser for the next part, highlighting the author's transition into DevOps and how his skills became highly relevant in the industry.

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9 Must-Know REST API Design Principles For Developers

  • REST APIs are essential for seamless communication between clients and servers, favored for web and mobile applications.
  • Good API design is crucial for performance and usability, avoiding confusion, inefficiency, and maintenance issues.
  • Following REST API best practices leads to intuitive, secure, and scalable web services.
  • Key principles include adhering to HTTP methods, focusing on resource nouns in URLs, using correct status codes, and providing clear error messages.
  • Input validation, versioning, pagination, filtering, and sorting are essential aspects of REST API development.
  • HATEOAS guides clients with links in responses, enhancing API self-documentation.
  • Security measures like HTTPS encryption, authentication, and authorization are vital for API protection.
  • Adhering to these best practices ensures creation of scalable, maintainable, and user-friendly APIs.
  • Java Spring Boot examples provided in the article offer practical insights for implementing REST API design principles.

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Juris Q&A: A Framework for Developers Who Hate Frameworks

  • Existing frameworks focus on computer efficiency rather than human cognition, creating cognitive overload.
  • Juris offers an intent-based design, avoiding complexity and allowing developers to focus on expressing intent.
  • Juris simplifies development by sidestepping performance problems inherent in sophisticated frameworks.
  • It provides debuggable intent, allowing developers to test and debug components without framework specific tools.
  • Juris enables seamless SSR by utilizing object-based components that work consistently on server and client.
  • The framework's performance outperforms popular frameworks by simplifying implementations and eliminating bottlenecks.
  • Juris's compatibility with the JavaScript ecosystem enhances development flexibility and access to libraries.
  • The framework prioritizes simplicity, using functions without complex patterns for state management.
  • Juris supports unlimited composition patterns and automatic dependency tracking across components.
  • Developers can choose between Juris core for stability and JurisKit for advanced features.

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Python Fundamentals: __repr__

  • The article discusses the importance of mastering __repr__ in Python for system observability, security, and data governance.
  • __repr__ defines the official string representation of an object in Python, aiming to provide an unambiguous developer-focused representation.
  • Real-world use cases of __repr__ include logging incoming requests, asynchronous task queues, data validation, and CLI tools.
  • __repr__ integrates with key Python tools such as mypy, pytest, pydantic, logging, dataclasses, and asyncio.
  • Code examples show how to customize __repr__, mask sensitive data, and enhance immutability.
  • Performance considerations involve optimizing __repr__ for high-volume systems, efficient string interpolation, and caching computed values.
  • __repr__ must be carefully implemented to avoid security vulnerabilities by masking sensitive data and preventing code injection.
  • Testing __repr__ involves unit tests, property-based testing, and static type checking with mypy.
  • Common pitfalls like infinite recursion, exposing sensitive data, and lack of testing are highlighted.
  • Best practices for __repr__ include type-safety, separation of concerns, defensive coding, modularity, automation, and documentation.

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«My New Path»

  • The writer relied on freelancing to cover expenses, gradually building their account and clientele.
  • They ignored platform rules by completing assignments for students, leading to a ban.
  • Initially facing a temporary suspension, the ban later became permanent after a review.
  • Despite losing their progress, the writer sees this as a new beginning.
  • They plan to explore new ventures, share their journey, and welcome others to join them.
  • Interested individuals can follow their updates on Telegram at @serquor_devlog.
  • Hashtags for the post include #vlog, #freelance, #life, #story, #programming, and #army.

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The Vibrant Culture of Punjab

  • Punjabi music is characterized by energetic beats and soulful melodies, with Bhangra being a prominent folk dance that showcases dynamic movements and infectious energy.
  • Gidda and Sufi music are also cherished components of Punjabi culture, offering a diverse musical experience.
  • Punjabi cuisine is renowned for its rich flavors and spices, featuring traditional delicacies like sarson ka saag, makki di roti, butter chicken, tandoori chicken, and lassi.
  • Festivals like Baisakhi, Diwali, Holi, and Lohri are celebrated with great fervor in Punjab, adding to its cultural vibrancy.
  • Punjabi culture is deeply rooted in tradition, emphasizing the significance of attires like salwar kameez and turbans, along with values like respect for elders and community.
  • The warmth, hospitality, and lively spirit of Punjabi culture make it an attractive destination for tourists and a source of pride for its people.

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I Stopped Using Try-Catch in TypeScript and You Should Too

  • The article discusses the author's shift from using try-catch blocks to returning errors in TypeScript for better error handling.
  • By returning errors explicitly, the author finds improved clarity, error context, and granular error handling.
  • The article introduces the Result type and demonstrates its usage in async functions for more explicit error management.
  • Benefits highlighted include errors becoming part of the API, TypeScript enforcing error handling, granular error management, and improved composability.
  • The approach aims for transparency, safety, maintainability, and better debugging experiences in error handling.
  • Examples and patterns presented emphasize the importance of returning errors, handling unexpected errors separately, and relying on TypeScript for enhanced error management.
  • Real-world examples and production scenarios illustrate the practical advantages of returning errors over throwing them.
  • The article concludes by emphasizing the benefits of returning errors, such as honesty, safety, maintainability, and debuggability in code.
  • Ultimately, the author suggests trying this error-handling approach in projects to benefit from improved error management and user experience.

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Programming During War: An Experience to Forget

  • Working on programming projects amidst a war zone creates a harrowing experience, with the constant threat of missiles and explosions.
  • A week into the conflict in Iran, the challenge is to maintain normalcy while dealing with intense emotions.
  • Despite the upheaval, the teamwork aspect of software development remains crucial, albeit with a changed approach.
  • Humor is used to alleviate tension among team members, indicating a collective effort to persevere.
  • Amidst evacuations, loss of connectivity, and concerns for loved ones, coding serves as a refuge from the chaos.
  • Focusing on coding tasks could be a coping mechanism to divert attention from the surrounding turmoil.
  • The hope remains for a return to peace and normalcy, as the situation continues to unfold.

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Prompt Coding: A New Logic System for AI-Driven Language Design

  • The article introduces the Prompt Header Recall System (PHRS) as a method for improving precision in interacting with AI through language models.
  • PHRS is inspired by software logic, aiming to streamline prompt design by treating them as modular linguistic commands.
  • It advocates for structured, reusable, and readable prompt design to enhance cognitive clarity and efficiency.
  • The system allows for the creation of prompt libraries that can be audited, scaled, and reused across time and team.
  • It emphasizes the importance of pattern, boundary, instruction, and clean recall in prompt design.
  • The article articulates the difference between simple and complex prompts, highlighting the advantages and disadvantages of each.
  • It illustrates examples of complex prompts and introduces the concept of a 'super prompt' for detailed and advanced instructions.
  • The article discusses the use of logic controllers such as AND, OR, NOT, XOR, IF/ELSE, and SWITCH/CASE to structure prompts effectively.
  • It emphasizes the significance of sandbox testing to ensure the integrity and stability of complex prompts before integration.
  • The article presents a strategic approach to prompt design, likening it to logic systems and pseudo-coding for effective communication with AI.
  • It concludes by positioning 'Prompt Coding' as a transformative framework that elevates prompt design into a structured discipline akin to software development.

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Unlocking the Power of No-Code AI:

  • ActlysAI is a no-code AI platform that allows users to leverage artificial intelligence without technical expertise.
  • The platform simplifies AI model creation, deployment, and management through a user-friendly interface and pre-built models.
  • ActlysAI utilizes advanced machine learning and natural language processing algorithms for AI model building and deployment.
  • The process involves data integration, model selection, configuration, and deployment using intuitive steps.
  • Use cases for ActlysAI include customer service chatbots, predictive maintenance, and content generation.
  • No-code AI is democratizing access to AI, increasing efficiency, and unlocking new opportunities in various industries.
  • ActlysAI encourages users to join their community to explore the benefits of their innovative platform.

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Juris Framework: A Self-Testing Reactive Web Framework

  • Juris is a reactive web framework focused on fine-grained reactivity, component-based architecture, and state management.
  • It features a unique self-testing interface to validate the framework using its own capabilities.
  • Juris is built around six fundamental classes and avoids virtual DOM diffing in favor of precise updates.
  • The framework supports visual and headless components, a comprehensive testing framework, and 12 control flow components.
  • It allows object-to-DOM conversion, progressive enhancement of existing DOM elements, and has a non-destructive approach.
  • Juris includes a test runner with 9 UI components, tracks dependencies at the property level for optimal performance, and provides dependency injection.
  • The framework emphasizes testing, cleanup mechanisms, performance, and minimalist philosophy.
  • Juris is suitable for a wide range of applications and validates itself through rigorous self-testing.
  • Its comprehensive feature set, self-testing approach, and performance make it appealing for modern web development.

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JurisKit: The No-Build Full-Stack JavaScript Framework That’s Redefining Developer Experience

  • JurisKit is an experimental framework challenging modern web development norms, focusing on fast developer feedback loops and performance.
  • It eliminates build steps and runs code as written, enabling instant changes with a refresh instead of long webpack processes.
  • Performance testing using Artillery showed JurisKit outperforming mainstream frameworks like Svelte, Vue/Vite, and Next.js.
  • JurisKit offers more functionality with less complexity and brings back straightforward debugging with direct code interpretation.
  • With minimal network requests and fast load times, JurisKit emphasizes developer velocity and simplicity over conventional tooling.
  • It presents a full-stack approach with universal components and headless architecture for routing, rendering, and state management.
  • JurisKit provokes questions about the necessity of build pipelines, the trade-off between convenience and velocity, and the impact of simplification on scalability.
  • As an experimental framework, JurisKit challenges web development norms by optimizing for performance and developer speed.
  • By reducing feedback loop times and enhancing server response speeds, JurisKit opens up new possibilities for web development.
  • While still in the experimental phase, JurisKit offers a fresh perspective on web development and highlights alternative approaches to building web applications.

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Post-Split Trauma: How to Debug Distributed Systems

  • Debugging a distributed system post-split introduces common failures like phantom writes, time travel bugs, cascading failures, silent data killers, and quantum entanglement bugs.
  • The article discusses solutions like idempotency keys, vector clocks, circuit breakers, checksum verification, and precise timing recording to address these issues.
  • It emphasizes using observability tools like Jaeger, ELK, and Prometheus for monitoring and provides a 3 AM playbook for troubleshooting distributed systems.
  • Prevention strategies include designing for failure, testing with Chaos Engineering, versioning contracts, and using feature flags.
  • Knowing when to revert to a monolith is recommended if debugging consumes excessive time or for transactions with strict latency requirements.
  • Start with basics like distributed tracing, implementing a circuit breaker, and conducting regular failure drills, even without being at Google's scale.

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The $100 Million Engineer: A Blueprint for Forging a Career in the New AI Gold Rush

  • In a mid-2025 podcast interview, Meta offers staggering sums, including $100 million signing bonuses, to poach top researchers from OpenAI in a strategic recruitment drive led by Mark Zuckerberg.
  • The aggressive recruitment strategy by Meta signals a shift in focus towards AI as its top priority, aiming not only to acquire talent but also weaken OpenAI by draining its resources.
  • Sam Altman criticizes Meta's cash-first culture, advocating for a mission-driven approach at OpenAI that fosters long-term innovation and loyalty.
  • The conflict between 'Culture vs. Capital' highlights the strategic choices facing aspiring engineers and the narrative of the AI talent war between Meta, OpenAI, and other tech giants.
  • The article outlines a four-phase roadmap for aspiring machine learning engineers, emphasizing foundational knowledge in mathematics and programming, mastery of Python libraries, predictive modeling, and advanced AI topics.
  • Building a strong portfolio of hands-on projects is crucial for aspiring engineers to demonstrate practical skills and stand out in the competitive machine learning field.
  • Kaggle competitions and structured project write-ups are recommended for beginners to showcase their problem-solving skills and storytelling abilities in their portfolios.
  • The article emphasizes the value of a well-documented GitHub profile and presenting projects in a clear and compelling manner to attract potential recruiters and hiring managers.
  • By systematically creating a diverse range of projects, aspiring engineers can prove their journey from novice to proficient practitioner, aligning with the demand for machine learning expertise in the global economy.
  • Ultimately, the AI talent war highlights the importance of deep skills, practical experience, and passion for innovation in building a sustainable and impactful career in the machine learning field.

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