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From no-code comfort to coding confidence: a designer’s journey beyond Wordpress

  • The author initially explored various no-code platforms.
  • Realizing the limitations of no-code, they decided to learn coding and build their own website.
  • Taking the coding route was challenging but rewarding for the author.
  • The experience taught the author valuable skills, demystified the backend, and saved money.

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Upgrade Your Angular Skills: A “Guide” to Migrating API Calls to Signals

  • Angular developers are encouraged to reconsider their approach to handling API calls and explore the use of Signals over subscriptions.
  • Using Signals in Angular allows for automatic subscription management, reduced boilerplate code, and more declarative and efficient code.
  • Developers need to be cautious of common mistakes when using Signals, such as forgetting to set the initial value and not handling error properly.
  • Signals are intended for state management and not meant to replace all observables or other mechanisms in Angular.

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Passport Session-Based Authentication Behind The Scenes

  • The library that passport works with to handle sessions for implementing session-based authentication is express-session.
  • Understanding how express-session works is crucial to understanding how session-based authentication with passport works.
  • Passport.initialize() must be used in express for passport to work.
  • An implementation of session-based authentication with passport.js is provided.

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OpenAI Considers Lowering ChatGPT Subscription Fees in India

  • OpenAI is considering reducing the subscription cost of ChatGPT in India to make it more affordable.
  • The potential new prices could range from $3 to $5 per month, a significant reduction from the current $20 fee.
  • OpenAI is in talks with Reliance Industries for a strategic partnership to distribute ChatGPT services in India and address data sovereignty concerns.
  • The proposed price cut aims to democratize access to AI technologies and accommodate the growing demand in India's digital economy.

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Dev

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Supercharge Your Coding Mojo: Connecting This FREE MCP Server to Cursor

  • The integration of Apidog MCP Server with Cursor transforms how developers work with API documentation and coding.
  • MCP Server enables AI coding assistants like Cursor to access and understand API documentation seamlessly.
  • Setting up the integration involves obtaining an Apidog access token, finding the Project ID, and configuring Cursor.
  • This integration empowers developers to generate code, handle API changes, improve documentation incorporation, and build complete API clients efficiently.
  • Tips include managing multiple API projects, utilizing standard OpenAPI specs, and securing access tokens.
  • Specific AI prompting enhances the accuracy of results in generating code or explanations.
  • The integration signifies a shift towards AI-enhanced development, eliminating manual translation of API specs.
  • Tasks that once took days now require hours, and the quality of API implementations has significantly improved.
  • This seamless integration promises increased productivity, better code quality, and time saved previously spent on API documentation.
  • The future is here with this efficient integration, offering a streamlined API development workflow with AI assistance.

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Did You Know These Wild Facts About Blockchain?

  • Understanding the technical concepts of blockchain is critical for security researchers.
  • Each operation in the Ethereum Virtual Machine (EVM) has a gas cost, and the gas limit determines the number of transactions in a block.
  • Mitigations for gas exhaustion include increasing gas costs for certain opcodes and batch processing transactions with priority mechanisms.
  • A security risk in smart contracts is allowing access to uninitialized storage, which can be exploited by attackers.

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The Future of Software Development in the Age of AI Code Assistants

  • AI code assistants are users of existing technology stacks, not creators of new ones.
  • AI can optimize code within established patterns, but it hasn't demonstrated the ability to fundamentally innovate at the infrastructure level.
  • Developers should focus on their evolving role, which includes architecting solutions, understanding business domains, and translating complex requirements into AI-friendly instructions.
  • Human-AI collaboration is the most likely future of software development.

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Perfection Is A Black Hole For Engineering Managers

  • Perfectionism is a hindrance for engineering managers as it is unattainable and slows down progress.
  • Setting realistic goals rather than chasing perfection is more effective in achieving results.
  • Chasing perfection leads to being stuck, much like a statue, and inhibits problem-solving.
  • Managing communication overload by prioritizing important tasks and not feeling the need to respond to every message helps in productivity.
  • Micromanaging due to perfectionism can hinder team performance and create a negative work environment.
  • Delegating tasks and trusting team members to work in their way, even if different, is essential to overcome perfectionism.
  • Setting realistic, SMART goals helps in achieving tangible results and moving projects forward effectively.
  • Recognizing perfectionist patterns and focusing on concrete facts rather than inner fears can help in overcoming the need for perfection.
  • Regular feedback sessions with the team provide insight into progress and maintain control without hindering growth.
  • Letting go of perfection and focusing on what matters ultimately leads to better team performance and personal growth for engineering managers.

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Javacodegeeks

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Optimizing Firestore Queries for Large-Scale Applications

  • Firestore is a powerful NoSQL database from Firebase that provides real-time data synchronization and scalability.
  • Best practices include understanding Firestore's query model, indexing for efficient queries, optimizing query performance, leveraging real-time updates, and using aggregations and batching.
  • Queries should be carefully structured, necessary indexes should be created, pagination should be implemented with query cursors, and expensive queries should be minimized through data modeling and incremental queries.
  • Real-time updates can be optimized by using listeners on specific documents and fetching relevant data with where and orderBy clauses.

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The Daily Tech Digest: 24 March 2025

  • Google AI is researching the relationship between the human brain and large language models (LLMs) to understand how neural activity aligns with LLMs processing conversations.
  • Meta's AI is introducing CollaborativeAgentBench, a benchmark to study how collaborative LLM agents work with humans in backend programming and frontend design.

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Can Blockchain and Cloud Work Together for Real-Time Logging? - HELP ME

  • Cloud logging system proposed using Hyperledger for real-time and secure logs without compromising performance or cost.
  • Architecture and Workflow: Cloud server generates logs → Logs are sent to Pub/Sub for processing → Critical logs hashed and stored in Hyperledger for tamper-proof storage → Non-critical logs sent to traditional logging for storage.
  • Advantages: 1) Speed and real-time performance with low latency. 2) Logs are tamper-proof and cryptographically secured using Hyperledger. 3) Fault tolerance and high availability with Pub/Sub buffering and Redis replication. 4) Scalability through horizontal scaling of Redis and adding more Hyperledger peers. 5) Unified monitoring with Grafana for centralized monitoring across all components. 6) Compliance and regulatory value for industries needing immutable logs.
  • Drawbacks: 1) High complexity due to multiple components. 2) Blockchain latency may affect real-time responsiveness. 3) Hyperledger storage costs at scale. 4) Limited scalability of Hyperledger. 5) Pub/Sub introduces message handling complexity.

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Three Metrics For Boost Team Performance

  • Implementing clear metrics can improve decision-making and team performance.
  • Lead Time is a crucial metric for development or process management teams. Addressing approval delays can help cut Lead Time by 40% and improve deadline adherence.
  • Rework Rate is an indicator of work quality. By refining user stories and involving QA earlier, the rework rate can be reduced, saving development time and boosting team morale.
  • Throughput, the number of tasks completed in a given period, is an effective productivity metric. Tracking and accounting for unplanned work can lead to improved team efficiency and reduced overwhelm.

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What is Generative AI and How Does it Work?

  • Generative AI is a category of AI models that create new data based on existing data.
  • Generative AI relies on deep learning techniques like Generative Adversarial Networks (GANs) and Transformer Models.
  • Applications of Generative AI include content creation, design & art, healthcare, and entertainment.
  • The future of Generative AI holds both opportunities and challenges, emphasizing responsible AI development.

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Your Engineering Guide to Level Up in 2025

  • In 2025, AI has permeated various aspects of engineering, leading to engineers relying on tools more and potentially becoming rusty in critical thinking.
  • This guide provides advice for engineers, including seniors, on staying sharp, thinking deeply, and avoiding being replaced by the tools they use.
  • It emphasizes the importance of understanding the code you write, avoiding frequent production issues, and creating meaningful documentation.
  • Encourages engineers to deeply understand systems they work on, seek mentorship, engage in challenging projects, and continually learn new technologies.
  • Advocates for learning new languages, reading and exploring codebases, fixing bugs thoughtfully, and maintaining and refactoring legacy code.
  • Suggests reading books that focus on fundamental principles, thinking clearly, designing thoughtfully, and debugging fearlessly to enhance engineering skills.
  • Underlines the importance of continuous learning, critical thinking, and building a strong foundation in engineering principles for long-term career success.
  • Encourages using AI tools as aids, but not substitutes for problem-solving skills, and emphasizes the value of curiosity, challenge, and continuous improvement in engineering.
  • Ultimately, the guide stresses the significance of building a strong mindset, embracing challenges, and constantly evolving to remain relevant in the ever-changing landscape of engineering.
  • Engineers are urged to prioritize personal growth, deep learning, critical thinking, and coding with conviction to thrive in the future where thinkers will always be in demand.
  • It warns against complacency and over-reliance on tools, highlight the need to continue thinking, learning, and pushing boundaries to avoid being replaceable in the field.

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Can AI Take Away Your Job as a Software Engineer?

  • Large Language Models (LLMs) like GPT or Claude do not think, plan, or understand code. They operate based on learned distributions and statistical muscle memory.
  • LLMs infer intent patterns from prompts through vector proximity in latent space, enabling them to generate code that matches known answers.
  • Steering the model with smart prompts and prompt engineering provides real-time control over the generated code.
  • AI won't replace software engineers, but someone who understands AI will take on a more challenging and creative role.

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