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Dev
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229
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🚀 What We Learned Building FastAPI-MCP
- FastAPI-MCP, an open-source library converting FastAPI apps into MCP servers, received positive feedback for simplifying integration.
- Challenges arose in production scenarios related to deployment, authentication, observability, and scaling of MCP servers.
- Issues included concerns about tool selection, description quality for AI assistants, and complexity in customer connections to MCP servers.
- A new infrastructure, Tadata, offers hosted, authenticated MCP servers with analytics in under a minute, addressing deployment challenges and providing insights for developers.
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Dev
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119
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7 Docker Compose Tricks to Level Up Your Development Workflow
- Docker Compose simplifies spinning up services, networks, and volumes with a single YAML file, offering advanced features beyond basic usage.
- Utilize Docker Compose profiles to selectively enable services, saving resources and keeping your YAML files clean.
- Override environment variables using .env files for flexibility and security in configuring services.
- Optimize image builds with Docker Compose's cache and context options, making builds faster and more efficient.
- Manage dependencies with healthchecks to ensure services start only when their dependencies are ready, improving reliability.
- Simplify log management by customizing container names and log formats with Docker Compose's logging options.
- Use named volumes for persistent data storage across container restarts and service sharing without host path dependencies.
- Extend Docker Compose files for modularity by splitting configurations into separate files and leveraging the extends functionality.
- These advanced Docker Compose tricks save time, reduce errors, and enhance the flexibility of your development workflow.
- Experiment with profiles, environment overrides, build caching, healthchecks, custom logs, named volumes, and file extensions in your projects.
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Dev
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343
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How We Built collab.dev: Measuring What Really Matters in Open Source
- collab.dev is an open-source platform that analyzes collaboration in open source projects, transitioning from a hackathon prototype to a valuable resource.
- It addresses the challenge of measuring collaboration in development, focusing on metrics like wait time, review flow, and contributor patterns.
- Started as Pulse during a hackathon, analyzing PR data from 100 GitHub projects, it evolved from a 'Collaboration Report Card' to emphasizing visualizations of collaboration patterns.
- The tool visualizes collaboration dynamics, identifying unique patterns in projects and moving towards a more insightful approach than grading.
- Initially prototyped in Streamlit, the project was rebuilt in Flask with enhanced features like search, caching, and a maintainer dashboard for deeper insights.
- The core visualization engine was open-sourced to encourage contributions and local deployments, leading to positive reception from developers and maintainers.
- The technical stack includes Flask, PostgreSQL, Jinja2, Chart.js, and more, with future plans to support additional languages, historical trend tracking, and AI-powered summaries.
- Users can explore collaboration metrics on collab.dev, with ongoing efforts to enhance understanding of collaboration processes in open source projects.
- The tool has gained popularity, with users adding repos, achieving recognition on DevHunt, and attracting maintainers seeking insights into their projects.
- The creators emphasize the importance of understanding collaboration dynamics and invite users to try collab.dev, contribute, and provide feedback.
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Fueled
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264
Image Credit: Fueled
From Figma Tokens to WordPress Styles in Minutes: Our New Figma Plugin
- Fueled has created a new open source Figma to WordPress Automation plugin to streamline the process of exporting design tokens from Figma directly into a WordPress theme.json file.
- The plugin automates the translation of design decisions from Figma into WordPress, including colors, spacing, font sizes, text styles, fluid typography, and mode-based variations.
- It works with any Figma file containing clearly named variable collections and with any modern WordPress theme that uses theme.json, requiring no special frameworks or add-ons.
- The plugin, which is now available on GitHub, has the potential to expand into more advanced features like custom border-radius presets and component-level export for Gutenberg blocks in the future.
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Dev
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189
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From Scratch: Building HTTP/2 and WebSocket with Raw Python Sockets
- The article discusses the implementation of HTTP/1.0, HTTP/2.0, and WebSocket protocols using pure Python sockets to understand their communication principles.
- For HTTP/1.0, the article covers server-side steps like creating a TCP socket, parsing request data using regex, and generating response data.
- HTTP/1.0 features short connections, request parsing with regex, and manual response construction for accurate headers.
- The simplified HTTP/2.0 implementation focuses on handling GET request headers and data frames, excluding HPACK compression and multiplexing support.
- HTTP/2.0 frame structure includes length, type, flags, and stream identifier, utilizing binary framing for multiplexing.
- WebSocket protocol involves an HTTP handshake and binary frame communication for full-duplex communication, with functions for parsing and building frames.
- Comparison of HTTP/1.0, HTTP/2.0, and WebSocket features highlights connection methods, protocol formats, header handling, and typical usage scenarios.
- Limitations of pure socket implementation include performance issues, security gaps, and lack of protocol intricacies handling, recommending mature libraries for production environments.
- The article concludes by emphasizing a deep understanding of network protocols, the importance of using libraries/frameworks in production, and the efficiency of WebSocket for real-time communication.
- Leapcell is recommended as a serverless web hosting platform supporting multiple languages, unlimited projects, pay-as-you-go pricing, and comprehensive documentation.
- Leapcell enables developers to deploy projects in their preferred languages with seamless scalability and transparent pricing, followed by resources for further exploration.
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Javacodegeeks
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35
Image Credit: Javacodegeeks
Demo Project: How @BasePathAwareController Breaks Link Builders
- The demo project highlights how the @BasePathAwareController breaks link builders in a Spring Data REST app.
- There are two controllers showcased: One using @BasePathAwareController and the other using @RepositoryRestController.
- The @BasePathAwareController causes WebMvcLinkBuilder to miss the base path, resulting in broken links.
- On the other hand, @RepositoryRestController preserves the base path correctly in generated links, ensuring the URLs are correct.
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Logrocket
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348
Image Credit: Logrocket
I used to dread big design projects — until I figured this out
- Managing complex design projects requires careful planning, clear communication, and close coordination across teams.
- Complex projects involve challenges beyond just design, such as communication issues, tight deadlines, unclear ownership, and unclear metrics.
- Setting clear goals early and holding kickoff meetings are crucial for aligning team members and laying a strong foundation for the project.
- Breaking down large tasks into smaller, manageable steps helps improve project management and team confidence.
- Regularly sharing progress updates and involving stakeholders throughout the process is vital for building trust and keeping the project on track.
- Releasing updates in small increments can help maintain momentum and engage the team effectively.
- Effective communication, clear documentation of decisions, defining roles, and seeking clear feedback are essential for successful project execution.
- Collaboration between design and development teams is crucial for technical decisions and ensuring accurate implementation.
- Creating a roadmap, conducting design QA, managing budgets effectively, and tracking relevant metrics are key components of successful project management.
- In summary, leading complex UX projects requires setting clear goals, sharing progress, maintaining communication, prioritizing design quality, and adapting to budget constraints.
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Medium
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423
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Why Your Neural Networks Run Like They’re Stuck in Digital Molasses (And How to Unstick Them)
- Your neural network may run slowly due to physics, memory bottlenecks, and quadratic complexity, not because it's broken.
- The Raspberry Pi 5's performance may be hindered by memory bandwidth limitations and cache inefficiencies.
- Issues like cache misses, attention mechanisms' complexity, and thermal throttling impact AI performance.
- Optimizations such as quantization and constraint removal can lead to significant speedups in neural network processing.
- Memory bandwidth, cache efficiency, and thermal management are crucial for AI performance.
- Understanding and working with constraints is key to optimizing edge AI.
- Eliminating obstacles is more effective than solely optimizing neural networks for improved performance.
- Systematic optimization can yield substantial speed improvements, making AI models more efficient.
- Every constraint in edge AI presents an opportunity for a creative solution to enhance performance.
- Engineering plays a vital role in maximizing the speed and efficiency of neural networks.
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PlanetPython
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101
Image Credit: PlanetPython
Mike Driscoll: Parsing XML Comments with Python
- XML is a markup format used for data serialization or configuration.
- Python's xml module provides a way to uncomment lines in an XML file.
- A custom parser is needed to edit comments in XML with Python.
- Using XMLParser with insert_comments set to True allows to work with XML comments effectively.
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Technically Dev
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145
Image Credit: Technically Dev
Technically Monthly (Issue 3, June 2025)
- Technically Monthly Issue 3, June 2025 covers various topics including Technically 2.0 posts, document databases for AI tools, and Browserbase's Open Operator viral demo.
- The acquisition of Neon by Databricks, the significance of different types of databases for developers, and the exploration of MCP (Model Context Protocol) in AI are discussed.
- The article delves into why developers choose specific databases, the importance of databases for AI agents, and various memory types needed for AI applications.
- AI agents dealing with unpredictable data structures and the need for flexibility in database selection are highlighted, with a preference for NoSQL databases for AI agents.
- The concept of the loss function in machine learning is introduced, explaining its role in training models to differentiate correct and incorrect answers.
- Upcoming topics in the next issue of Technically Monthly include AI models' reasoning, cloud infrastructure market overview, and developer perspectives on code reviews.
- Technically is evolving with reader support, offering a mix of technical insights and practical applications across various technology domains.
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8 Likes
Dev
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277
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How to Generate an AI SBOM, and What Tools to Use
- AI systems rely on various third-party components, making them vulnerable to security risks without proper tracking.
- While SBOMs enhance transparency, security, and governance, their adoption in AI projects is limited.
- Challenges in SBOM adoption for AI projects include complexity, lack of standardization, integration difficulties, and dynamic components.
- Slow SBOM adoption exposes organizations to security vulnerabilities, compliance challenges, reduced accountability, and supply chain risks.
- SBOMs in AI projects offer enhanced security, traceability, transparency, collaboration, maintenance, and auditability.
- Tools for creating AI SBOMs include container-based SBOM tools, model-oriented SBOM frameworks, and registry-based SBOM management.
- New tools extend SBOM capabilities to address the needs of AI projects, including tracking model lineage, dataset information, and provenance.
- Effective integration of SBOMs into AI development workflows is essential for AI governance and compliance requirements.
- Adoption of AI-specific SBOM tools can help safeguard models, ensure compliance, and maintain transparency in AI projects.
- AI SBOMs play a crucial role in maintaining security, compliance, and transparency in modern AI projects.
- Tools like KitOps and Jozu Hub offer solutions for generating and managing AI SBOMs to protect models against security threats and ensure project integrity.
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Logrocket
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167
Image Credit: Logrocket
Six habits that changed my PM-engineering partnerships
- Product work benefits from integrated, messy, co-created partnerships grounded in shared ownership, open dialogue, and trust.
- Co-writing PRDs with engineers fosters shared vision, creativity, and builds emotional investment in the product.
- Putting engineers on user calls enhances empathy, leads to user-centric design, and improves product outcomes.
- Alignment sessions promote ownership among engineers, driving deeper engagement and collaboration.
- Embracing conflict constructively and addressing constraints openly leads to better decision-making and collaboration.
- Publicly celebrating engineers' contributions fosters a positive culture, recognition, and ownership.
- Encouraging engineers to share their ideas and involving them in product vision enhances creativity and ownership.
- Abandoning the traditional PM-to-engineer handoff model in favor of shared understanding and collaboration is crucial for success.
- True alignment in product development is based on trust, shared purpose, and genuine collaboration, not just following processes.
- Building software requires partnership, honesty, and a shift towards shared ownership to achieve shared success.
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10 Likes
Insider
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436
Image Credit: Insider
A top IT consulting firm rips up its traditional billing playbook for the AI era
- Globant, a top IT consulting firm, has introduced a new pricing model for AI-powered consulting services in response to the high costs associated with Generative AI.
- The company has shifted from traditional billing methods to a subscription-based model called AI Pods, which includes token-based capacity for AI-powered services like software engineering, design, and testing.
- This move represents a departure from the conventional effort-based billing approach and aims to align pricing more closely with the usage of AI models.
- Globant's innovative approach reflects a growing trend in the industry towards new pricing models driven by advancements in AI technology and automation.
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26 Likes
Dev
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295
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Tidbit 01: How Does Event Loop Handle Promises?
- Promises in JavaScript act as placeholders for values that will be resolved or rejected at a later time.
- The Event Loop in JavaScript manages the execution order of code by coordinating between the Call Stack, Web APIs, Callback Queue, and Microtask Queue.
- Promises' .then() method is placed in the Microtask Queue, giving them priority for execution over tasks like setTimeout.
- Understanding how the Event Loop handles promises helps in grasping why certain code might execute in a particular order.
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CSS-Tricks
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352
Image Credit: CSS-Tricks
The State of CSS 2025 Survey is out!
- The State of CSS 2025 Survey was recently released, reflecting new CSS features like calc-size(), shape(), Scroll-driven animations, and more.
- The survey includes questions on various advanced CSS concepts such as container scroll-state queries, CSS Carousels, text-box-edge, and text-box-trim.
- Key questions at the end of each section focus on users' top CSS pain points, providing insights for user agents and the CSS Working Group.
- It is encouraged to participate in these pain point questions, even if you have mild annoyances, to ensure a comprehensive view is captured in the survey data.
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