JWT Explained: What It Is, How It Works, and Why You Should Care

If you've ever built a login system and wondered "should I use sessions or tokens?" - this one's for you. So..What Even Is a JWT? JWT vs. Sessions — What's the Difference? Structure of a JWT A JWT looks like this: eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJ1c2VySWQiOiIxMjMiLCJleHAiOjE2OTAwMDB9.SflKxwRJSMeKKF2QT4fwpMeJf36POk6yJV_adQssw5c Scary at first, but it's just three Base64-encoded parts separated by dots: HEADER.PAYLOAD.SIGNATURE Header - tells you the algorithm used (e.g.

DESIGN.md vs tokens.json vs Figma for AI Agents

DESIGN.md is the only common approach that gives an agent structured values, expressible rules, machine readability, and persistence in one versioned file. Here is how it compares to the alternatives. A tokens.json gives exact values but cannot express rules. There is no way to say "use the accent only for the primary action" in JSON. The agent knows your colors but not how to apply them, so it uses them generically.

When the agent codes in seconds, CI becomes the slow neighbour

Last week I caught myself doing something embarrassing. I asked an agent to scaffold a small handler, watched it return a tidy diff in roughly the time it takes to refill a glass of water, and then I sat there waiting on pull-request CI to tell me a brace was in the wrong place. The author of that code was faster than the reviewer of that code by two orders of magnitude, and the reviewer was a YAML file I had been quietly proud of. DevOps.com ran an opinion piece this week titled "AI Coding Agents Are Pulling CI Feedback Into the Inner Loop", and it named the thing I had been refusing to name.

What I learned adding diagram and chart slides to a CI-rendered YouTube pipeline

The conclusion first: pre-rendering diagrams and charts to PNG before compositing them onto slides — rather than generating visual content inline or inside ffmpeg — is the right architecture for a CI video pipeline. The tooling gap between Chromium-backed Mermaid rendering, headless matplotlib, and ffmpeg's static frame expectation makes a shared PNG handoff the only approach that keeps each piece testable and replaceable. I added three new slide types to the YouTube slide renderer last week: diagram (Mermaid flowcharts and sequence diagrams), chart (branded horizontal bar charts via matplotli

Netdata vs SigNoz vs OpenObserve: self-hosted observability for indie projects

I've been building out the ossfind.com OSS alternatives directory, and observability tools come up constantly as a category where the SaaS-to-OSS migration question is genuinely interesting. Datadog is the canonical expensive monitoring platform; replacing it with open source isn't a simple one-for-one swap. I spent time researching three projects that together — or individually — cover a meaningful slice of what Datadog does. These aren't toy tools. All three have serious GitHub star counts and production deployments.

59 Years, Four Generations Later, Supreme Court Settles Land Dispute

The Supreme Court decided a seven-decade-old dispute over 15.5 bighas in a village of Haridwar.

MCP is finally here: stop building REST boilerplate and start shipping

TL;DR: BugiaData MCP is live. Point Cursor, Claude, or Windsurf at a hosted SSE server, paste one config block, and ask your agent for relational fake data with valid foreign keys—no custom REST glue in your repo. If you build with AI agents, you already know the loop: You need realistic test data. You wire up an HTTP client, auth headers, error handling, and JSON parsing. You repeat that for every new tool, every new environment, every new IDE.

I Built a Full-Stack B2B Marketplace in 3 Days With V0, Next.js 16, and Vercel's AWS Integration — Here's What Actually Happened

The honest account: what worked, what broke, and what I'd do differently. Three days. One B2B Dutch-auction marketplace. Here's the realistic version of what building with V0, Next.js 16 App Router, Aurora PostgreSQL, and DynamoDB actually looks like when you're going fast. This is not a "look how smooth AI coding is" post.

DESIGN.md Anatomy: How Tokens and Prose Work Together

A DESIGN.md has two parts: YAML front matter with machine-readable design tokens, and a markdown body with human-readable rationale. Tokens give an agent exact values; prose gives it the rules. Pairing them is the format's core insight. The front matter holds your colors, typography, spacing, rounded corners and components as typed values. It opens and closes with three dashes: --- colors: primary: "#1A1C1E" surface: "#FFFFFF" spacing: sm: 8px md: 16px --- This gives the agent precise values to use directly.

The DESIGN.md CLI: lint, diff, export and spec

The DESIGN.md CLI has four commands, run through npx with no install: lint, diff, export and spec. Together they turn the file from a passive document into something you can validate, compare and convert. $ npx @google/design.md lint DESIGN.md $ npx @google/design.md lint --format json DESIGN.md Lint catches broken token references, flags a missing primary color, and verifies WCAG contrast. It returns structured JSON and exits non-zero on errors, so it works in CI: { "findings": [{ "severity": "warning", "path": "components.button-primary", "message": "contrast 15.42:1 - passes WCAG AA" }], "s

DESIGN.md, CLAUDE.md, AGENTS.md: The Agent-Context File Family

DESIGN.md, CLAUDE.md and AGENTS.md are plain-text, repo-resident files that give AI coding agents persistent context. CLAUDE.md and AGENTS.md cover code and conventions; DESIGN.md covers the visual identity. Complementary layers an agent reads on every interaction. CLAUDE.md / AGENTS.md -> code & project context (stack, conventions, commands) SKILL.md -> on-demand capabilities DESIGN.md -> the design system (tokens + rationale) Each handles a different concern, and they do not overlap. Separation keeps each focused and lets you adopt them independently.

CCTV Camera Covered, Cash Hidden In Toilet: Inside Story Of Ram Temple Theft

Fresh details have emerged on how the counting staff dug into the hundis without being noticed and made away with a fortune that belonged to Ram Lalla.

'Extreme religious fanaticism': Congress leader on NCERT removing 'secular' from textbook

New railway line through MP tiger corridor gets in-principle forest nod

Uddhav slams BJP over Ram Temple funds

Sizing a Mac mini M4 for Local AI: An Architect's Breakdown by Task

Every few weeks someone asks me the same question: "Should I buy a Mac mini M4 to run AI locally?" And every time, my answer is the same - that's the wrong question to lead with. The right question is: which task, at what quality, on how much memory? Hardware is the last decision, not the first. I've been chasing the same goal a lot of practitioners have: becoming self-sufficient on local AI so I'm less dependent on cloud LLM subscriptions, without sacrificing output quality. My current Windows machine has no usable GPU, which makes tools like Ollama and LM Studio frustrating at best.

'When is PM Mann Ki Baat on this?' Priyank Kharge on Ram Mandir funds row

How LLMs Decide Which Ecommerce Brands to Recommend, and What Shopify Stores Need to Do About It

There's a new buyer journey nobody's optimizing for yet. How LLMs build their brand knowledge SEO: get your page ranked for a query For Shopify stores, this distinction has direct technical implications. The technical signals that build LLM visibility Structured data as entity declaration JSON-LD schema on your Shopify store isn't just for rich snippets anymore. It's how you declare your entity to crawlers that feed training pipelines and retrieval systems. The same as array is doing heavy lifting here.

I Rented Out My GPU for Passive Income — Here's What Happened After My First Week

I had an RTX 3060 sitting on a shelf. Not broken. Not old. Just... not doing anything.

Xi's military purge widens: China strips 6 generals, ex-Politburo member of lawmaker posts

China has removed six top military officers, a former financial regulator, and a former Politburo member from their legislative posts, signaling President Xi Jinping's ongoing anti-corruption purge. This move targets the nation's political and military elite, with prominent figures like General Xu Xueqiang, head of military equipment development, among those dismissed. The campaign continues to reshape the highest echelons of power.