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    1.

    dev.to > kphero > release-04-results-40fd

    Release 0.4 Results

    21+ min ago (295+ words) We're at the end of the road now. Today I submitted the pull request to display top categories as individual tabs to the Pandora project. This ended up being a fun little challenge and I'm really happy with how it turned out. The goal was to add a setting to turn this default, tree-style look: Into one with tabs. The logic for creating new categories and entities already existed, so this was mostly UI. The core logic lives in the PandaEditor scene. Within the Godot editor itself, you can add nodes to each scene, including containers and UI elements. I started by adding a TabContainer to the scene and setting it to hidden. This will eventually be populated with tabs when the setting is chosen and become visible. pandora-settings holds the code for adding settings, so there I added a…...

    2.

    cointrust.com > market-news > chainbase-and-openledger-join-forces-to-advance-ai-driven-web3

    Chainbase and OpenLedger Join Forces to Advance AI-Driven Web3

    25+ min ago (247+ words) Home " Chainbase and OpenLedger Join Forces to Advance AI-Driven Web3 By combining these capabilities, the two platforms aim to offer a more comprehensive foundation for AI-powered Web3 applications. Each partner contributes its specialized tools to improve usability, trust, and functionality for developers and end users navigating decentralized ecosystems. We're collaborating with @OpenledgerHQ to extend the Hyperdata Network into the AI agent layer. By combining Chainbase's structured, AI-ready data with OpenLedger's agent and attribution frameworks, agents can read, verify, and act with confidence in Web3. " Chainbase (,) (@ChainbaseHQ) December 12, 2025 Both platforms have highlighted that the partnership is designed to guide users toward more effective use of AI alongside Web3 technologies. By lowering technical friction and improving transparency, the collaboration seeks to make decentralized AI systems more accessible to developers while maintaining high standards of security and efficiency. From a user perspective, the partnership is positioned to…...

    3.

    dev.to > rubixvi > custom-auth-in-payload-29ck

    Custom auth in Payload

    30+ min ago (874+ words) Most PayloadCMS auth examples cover either plain email/password or "toy" OAuth setups that fall apart as soon as you introduce real-world constraints like multiple frontends, native apps, or third'party identity providers. Teams then fight the framework, passing session state through places it does not belong, relying on req.user when there is no session yet, or coupling admin auth to application auth in a way that becomes impossible to reason about once the project grows." In practice, authentication is the part of a headless stack that ages the worst when it is improvised. It is also the part you least want to be debugging at 2am. That is why Payload's move toward explicit custom strategies in v3 is such a big deal: it hands control back to you, but also quietly demands that you think about auth as a first'class design…...

    4.

    dev.to > junothreadborne > the-vibe-coding-paradox-i31

    The Vibe Coding Paradox

    37+ min ago (1139+ words) My last PR for Nudges was +96 "312, touched 38 files, and was about 90% vibe coded. And I'm confident in it. While I was gliding through Hyrule, two different AI agents were quietly refactoring Kafka consumers, validating payload shapes, and committing changes'clean, scoped, and production-ready. When I came back, I scanned the diff, nodded at the function names, double checked a few critical spots, and told Claude Code to submit a PR. And here's the thing: it feels good. Because in that system, the AI isn't just guessing'it's working inside a system I built with intention. A system where I own the architecture, the message formats, the telemetry, the consequences. Nudges is mine. So when the code writes itself, it feels like an extension of my will. But that same experience'AI as co-developer, frictionless and fast'feels completely different in my contracts. Because there,…...

    5.

    livemint.com > technology > tech-news > shipping-in-a-day-what-took-three-weeks-zoho-s-sridhar-vembu-says-ai-is-transforming-ui-development-11765596815796.html

    'Shipping in a day what took three weeks': Zoho’s Sridhar Vembu says AI is transforming UI development

    38+ min ago (355+ words) Zoho co-founder and chief scientist Sridhar Vembu has offered a detailed look at how artificial intelligence tools are being used across the software firm, while underlining that engineers remain fully accountable for their work. In a post shared on Friday, Vembu wrote, "We use AI coding tools across the company, with the caution to engineers that they have to review and approve all the code and take responsibility for it." He added that Zoho does not impose AI tools on its staff, noting, "We don't force feed or mandate AI tools, and leave the decision on how best to use AI to experienced engineers." Vembu highlighted a conversation with one of Zoho's most productive engineers, who has around two decades of experience and is currently handling complex UI tasks where performance is critical. According to Vembu, the engineer said he…...

    6.

    dev.to > matteo_panzeri_2c5930e196 > building-a-sub-millisecond-vector-database-in-rustwasm-4h3l

    Building a Sub-Millisecond Vector Database in Rust/WASM

    40+ min ago (162+ words) I recently built EdgeVec, a high-performance vector database that runs entirely in the browser. Here's how I achieved sub-millisecond search times with WebAssembly. Vector databases are everywhere in AI applications - they power semantic search, RAG systems, and recommendation engines. But they typically require a server. I wanted to explore: can we get comparable performance entirely in the browser? This is comparable to server-side solutions, but running entirely client-side. I implemented Hierarchical Navigable Small World graphs - the same algorithm used by production vector databases like Weaviate and Qdrant. Instead of storing 32-bit floats (768 dimensions " 4 bytes = 3KB per vector), I compress to 8-bit integers. This gives 3.6x memory savings with minimal accuracy loss. Using Rust's portable SIMD, I vectorize distance calculations: Built with wasm-pack, the final bundle is just 148 KB gzipped - small enough for any web app. Where does client-side vector search make sense?...

    7.

    dev.to > tijmen_de_jong > cursor-mcps-docker-strapi-next-js-45g1

    Cursor + MCP's | Docker | Strapi v5 | Next JS | Render

    52+ min ago (594+ words) " Today my mission was to deploy a Strapi CMS that would power the content for my portfolio website. I wanted to create the fastest and most efficient development workflow possible. So I looked for a cloud solution that could load and deploy Docker images straight out of the box. " That is when I discovered Render, a cloud platform that builds Docker images directly from a GitHub repository. This allows you to run the exact same versions locally and in production, in my case Strapi v5 and PostgreSQL 16. " After some back and forth with Grok from xAi, while sitting on the toilet, I figured out exactly how to use Render with a Render configuration file. This file defines your server structure in a clean and organised way. It is similar to a Docker file but created specifically for Render so you can…...

    8.

    dev.to > arul_mozhi_95db9e19ae530e > building-my-first-ai-cyber-guardian-agent-reflections-from-the-google-x-kaggle-intensive-2f2m

    Building My First AI Cyber Guardian Agent: Reflections from the Google x Kaggle Intensive

    54+ min ago (279+ words) This is a submission for the Google AI Agents Writing Challenge: Learning Reflections As someone passionate about cybersecurity, I've always wanted to build tools that help people stay safe online. When I saw this intensive, I knew it was the perfect opportunity to learn how AI agents actually work " not just in theory, but in real, hands'on ways. The biggest shift for me was understanding that AI agents are not just chatbots. They are structured systems with: Some concepts that really clicked for me: " Modular agent design " Tool'calling and workflows " Building responsibly with user trust " Turning ideas into working prototypes For my capstone project, I built an agent designed to educate, protect, and empower users in cyberspace " especially beginners who may not understand digital risks. But each challenge taught me something new " and the community, examples, and course materials helped…...

    9.

    dev.to > barefootmikeofhorme > anyone-here-just-obsessed-with-linux-like-me--7el

    Anyone here just obsessed with Linux like me ??

    57+ min ago (47+ words) A post by Michael Shortland. Templates let you quickly answer FAQs or store snippets for re-use. Are you sure you want to hide this comment? It will become hidden in your post, but will still be visible via the comment's permalink. Hide child comments as well...

    10.

    dev.to > gnarlylasagna > building-a-virtualized-cybersecurity-lab-splunk-siem-setup-and-log-forwarding-4k14

    Building a Virtualized Cybersecurity Lab: Splunk SIEM Setup and Log Forwarding

    1+ hour ago (595+ words) In this third part of my virtualized cybersecurity lab series, I move beyond infrastructure and identity to focus on visibility'installing Splunk, configuring log forwarding, and building the monitoring layer required for SOC-style analysis and detection. As with all parts of this homelab, I want a system I can continuously modify and learn from. Splunk gives me an excellent starting point for understanding enterprise log ingestion, parsing, and detection logic. In future iterations, I may migrate this VM to Wazuh or run a separate Wazuh deployment alongside Splunk so I can compare SIEM platforms and expand my defensive skill set. This post represents the beginning of the "visibility" phase of the project'turning raw system activity into actionable insights. Before diving into configuration, here's the high-level lab design as of this stage in the project. Current environment includes: pfSense (router/firewall) lab-LAN…...