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The most dangerous moment in an AI-built app project is not when the code breaks. It is earlier. It is the moment where your idea is still blurry, the AI coding tool is sitting there politely, and you type: Build me an app that... That sentence feels productive. It also gives the tool permission to make a pile of decisions you have not made yet. Who is the app for? What is version one? Which workflow matters first? What data has to exist? What should not be built yet? What would make the first version successful? If those answers are missing, AI has to guess. And AI guessing at product shape is how beginners end up with a login system, dashboard, profile editor, notifications panel, admin area, billing flow, and settings page before one real user problem has been solved. That is not momentum. That is software confetti. I like AI coding tools. I use them heavily in real app work. But the tool gets much better when the project has boundaries before code starts changing. So before you ask AI to code your first app, run the idea through a checklist. Not a giant business plan. Not a pitch deck. Not a 47-tab spreadsheet that makes you feel like you joined a corporate strategy retreat by accident. A practical beginner checklist. The goal is simple: turn a rough app idea into something AI can help you build without inventing the whole product for you. 1. Can You Name The Person? Do not start with "users." Start with one person you can picture. Bad: This app is for people who want to be more productive. Better: This app is for freelance designers who need one place to track client feedback, revision status, and final file delivery. Bad: This app is for musicians. Better: This app is for guitarists who want to capture riff ideas quickly on their phone without opening a full mobile studio app. Bad: This app is for students. Better: This app is for college students who want to scan textbook chapters and turn them into study notes before an exam. When you name the person, the ap

If you want remote job data, you do not need to scrape HTML or sign up for anything. Four of the bigger remote job boards publish keyless public feeds. The catch is that they all speak different dialects, so the real work is normalization. Here are the endpoints and the traps. The four feeds RemoteOK returns its whole current board as one JSON array: GET https://remoteok.com/api The first element is a legal notice, not a job: they ask for a link back with attribution as a condition of using the feed. Skip element zero, and honor the attribution if you republish. Jobs carry salary_min and salary_max as numbers, tags, and ISO dates. Remotive has the friendliest API of the four, including server side search: GET https://remotive.com/api/remote-jobs?search=python&limit=100 Salary here is free text ( "$120k - $160k" ), so do not expect numbers. Attribution with a link back is required here too. WeWorkRemotely publishes RSS: GET https://weworkremotely.com/remote-jobs.rss Two quirks: the company name is not a field, it is baked into the title as Company: Role , so split on the first colon. And useful data hides in nonstandard tags like <region> , <skills> , and <category> that generic RSS parsers drop on the floor. Himalayas has a proper paginated API with a surprisingly deep catalog (100k+ listings): GET https://himalayas.app/jobs/api?limit=100&offset=0 It gives structured minSalary / maxSalary with a currency and period, seniority arrays, location restrictions, and even timezone restrictions as UTC offsets. Dates are epoch seconds, not ISO strings. The normalization layer The row schema that survived contact with all four sources: { "source" : "Remotive" , "title" : "Senior Backend Engineer" , "company" : "Acme Corp" , "tags" : [ "python" , "aws" ], "salaryMin" : null , "salaryMax" : null , "salaryText" : "$120k - $160k" , "location" : "Worldwide" , "postedAt" : "2026-07-03T20:01:13.000Z" , "applyUrl" : "https://..." } Rules that mattered in practice: Keep both salary sh

The company's robotaxi roadmap mentions future expansions to Orlando and Tampa.

It’s a pretty good movie, but it needed to be a great movie to thrive in an oversaturated superhero market.

Mistral AI, which offers some open source AI models, has raised significant funding since its creation in 2023, with the ambition to “put frontier AI in the hands of everyone.”

The incident is also being investigated by the National Highway Traffic Safety Administration.

CAI.com — a custodial @cai .com email, multi-chain stablecoin wallet, and MCP-installable agent API A custodial email, a stablecoin wallet, a credential vault, and an agent-ready API — all at one @cai.com address. This post walks through what CAI is, what you get when you sign up, and how to wire the agent side into any MCP-compatible host. What you get at cai.com/app A free @cai.com email comes with four product surfaces, all under one account: A real inbox at @cai.com . Send and receive mail like any other address. The signup gives you the address; the dashboard gives you the SMTP/IMAP credentials if you want to use a desktop client. A custodial multi-chain stablecoin wallet. Built in. Six chains. External wallets supported. MoonPay for fiat on-ramp (partial-live, third-party KYC and region limits apply — see cai.com/capabilities.html ). A user vault for site credentials. Store website logins and passwords. The agent you build retrieves them when needed, with your explicit confirmation. The vault is for your site credentials, not the agent's API key. An API key for the agent you build or use. Free tier covers read scopes; pay and full scopes may require verification. The key is in the account dashboard. How the signup works The signup at cai.com/app is four steps. About 2 minutes. Go to cai.com/app . Pick "Apply for @cai.com email." Enter your name. That's the only field on the first screen. CAI emails a 6-digit verification code to the address you provide. The code expires in 15 minutes. The email has a one-time link, not the code — copy the code from the email and paste it into the form. Enter the code, create a password, and you're done. At the end you have: A @cai.com email address. A custodial multi-chain stablecoin wallet. A user vault for site credentials. An API key for the agent you build or use. No card. The email is free. The agent side (for the technical reader) For the technical reader, the agent side is the reason to look at CAI. The install is one c

I spent over 20 years working in industrial maintenance as a boilermaker. Most of that time was in refinery shutdowns and turnarounds—high-pressure environments where systems either hold or fail. There is no “mostly working” in that world. That experience has shaped how I approach software development. ⸻ I’m not just “learning to code.” I’m building systems. I’m currently working on transitioning into web development, but I’m not approaching it as a tutorial exercise I’m building real projects from day one—and documenting the process as I go. Not theory. Not exercises. Actual systems that are meant to run. ⸻ What I’m building right now A portfolio site that behaves like a system (kmwebdev.me) This isn’t a “personal website” in the usual sense. It’s a live system under controlled change. I treat it like industrial maintenance work: versioned updates instead of redesigns small, controlled changes only tracking what changed and why stability over aesthetics Nothing gets changed without intent. ⸻ A production-focused email framework (Skeleton Framework) Alongside the portfolio work, I’m building a separate system for HTML email development. Email is one of the most constrained environments in web development. Rendering is inconsistent, standards are partial, and modern CSS support is unreliable across many clients. So instead of fighting those constraints, I’m building a framework specifically designed around them. The focus is simple: predictable rendering in real-world email clients It’s still early, but it’s being developed with production use in mind—not experimentation. ⸻ The way I work hasn’t changed—only the tools have In industrial maintenance, you learn a few hard rules: don’t assume—verify don’t scale chaos don’t change more than you can test document everything that matters So I carry that directly into development: versioned releases (v1.0, v1.3.6, etc.) controlled incremental changes explicit documentation of limitations real-world testing across environmen

I know a vocal group of people who swear by the number pad on their keyboard. And yet, for years I haven't cared about using one - until I put my hands on the Epomaker RT98. It's a mechanical keyboard with a charming retro aesthetic, a fun CRT-like screen, VIA compatibility, a nice typing feel, […]

The Ikko MindOne Pro is delightfully small. I keep calling it a square phone, which isn't quite right; the screen is square, but the phone itself is slightly rectangular. The camera flips up so you can use it for selfies - you can even open it partway to use as a stand or a kind […]

Every game jam lives or dies by its theme, and this year's June Solstice Game Jam handed developers something deceptively simple: the longest day of the year. What emerged from that single prompt wasn't a wave of near-identical sunrise simulators — it was a scattershot of genres, mechanics, and emotional registers, all orbiting the same core idea of light and time. One Theme, a Dozen Interpretations The solstice lends itself to more than one reading, and jam entrants leaned into that ambiguity. Some treated "longest day" literally, building puzzle games where a slowly arcing sun becomes a physical obstacle — light that reveals hidden platforms, burns away fog, or casts shadows players must dodge or exploit. Others went abstract, using the solstice as a metaphor for endurance, building narrative pieces about characters pushing through their hardest, brightest, most exhausting day. Sci-fi submissions reframed the concept entirely: distant planets with artificial suns, space stations timing their orbits to a 24-hour light cycle, or crews racing against a ship's failing life-support "day" before darkness means death. Meanwhile, a handful of more grounded, historically-minded entries used the solstice as a backdrop for ritual and tradition, drawing on centuries of human fascination with the year's turning point. Light and Time as Game Mechanics What makes this jam interesting from a design standpoint is how consistently teams turned an atmospheric theme into an actual mechanic rather than just window dressing. Light became a resource to manage, a weapon, a timer, or a stealth tool. Time compression and dilation showed up frequently too — some games squeezed an entire day-night cycle into a five-minute play session, forcing players to make fast decisions as shadows visibly crept across the map in real time. This is a common jam trick: constraints breed creativity. When a 48- or 72-hour deadline collides with a theme built around a literal clock, developers naturally start

wa.me/username doesn't work yet — I verified it two ways, here's what to use instead If you've tried to build a "share my WhatsApp" link using a @username instead of a phone number, you've probably assumed wa.me/username (or wa.me/u/username ) works the same way wa.me/15551234567 does. It doesn't — at least not yet, as of writing this. I wanted a definitive answer instead of trusting blog posts or AI chatbot answers (more on that below), so I tested it two independent ways. Test 1: server response curl -I https://wa.me/u/some_real_reserved_username Every username path I tried — including a certified-real, currently-reserved username — 302-redirects to: api.whatsapp.com/resolve/?deeplink=...&not_found=1 Compare that to the phone-number path, which redirects to: api.whatsapp.com/send/?phone=...&type=phone_number Different resolver, different outcome. The server-side route for usernames exists, but every lookup currently resolves as "not found" — even for real, live usernames. Test 2: real device Server response alone doesn't rule out Universal Links / App Links intercepting the URL client-side before it ever hits a server — curl can't see that. So I also opened all three link variants ( wa.me/username , wa.me/u/username , and a redirect through my own domain) on a real phone with WhatsApp installed. None of them opened a chat. Why this matters if you're building anything around WhatsApp usernames WhatsApp has rolled out @username handles as a real, user-facing feature — but it hasn't published a public deep-link spec for opening a chat from one, the way it has for phone numbers for years. If you're building a tool, a profile page, a business card generator, anything that assumes wa.me/username "just works," it doesn't, for anyone. One more data point: I asked Meta AI directly about this, with the counter-evidence above in hand. It kept asserting the link already works and didn't engage with the evidence when pushed. That's a useful reminder that chatbot answers about

Hello, I'm Maneshwar. I'm building git-lrc, a Micro AI code reviewer that runs on every commit. It is free and source-available on Github. Star git-lrc to help devs discover the project. Do give it a try and share your feedback. Every CS program hammers the same seven into you. Arrays, linked lists, hash tables, stacks, queues, graphs, trees. You could probably recite their Big O complexities in your sleep at this point, and honestly, for 90% of the code you'll ever write, that's plenty. But every now and then a system hits a wall that none of the seven basics can handle gracefully, and someone had to invent a weirder tool to patch the gap. I went down a rabbit hole recently looking at a handful of these, and I liked them enough that I wanted to write them up properly instead of just leaving forty open tabs to rot. Fair warning, there is some depth here. Get a drink. When your hash table can't promise you a fast answer: Bloom filters Normal hash tables are great until you need to ask "have I possibly seen this before" across a dataset way too big to store in memory. Think a crawler checking billions of URLs, or a database deciding whether it's even worth going to disk to look for a row. A Bloom filter solves this by giving up on certainty in one direction. It's a fixed array of bits, plus a small handful of independent hash functions. Adding an item flips a handful of bits on. Checking for an item hashes it the same way and checks whether those same bits are on. If any single bit is off, that item was never added, full stop, no ambiguity. If they're all on, the item was probably added, but two unrelated items can accidentally light up the same bits, so you might get a false alarm. The asymmetry is the entire design. Zero false negatives, occasional false positives. It's the data structure equivalent of a metal detector at a stadium gate. It'll never wave through someone with a knife, but it might beep at your belt buckle and make you empty your pockets for nothing.

TLDR: The most powerful AI on the planet, only a few days of access. Maximize it. I'd first like to give credit where it's due: @trickell - Thank you for sharing Network Chuck's youtube video with me. The reference video is found here guys if you missed it: Network Chuck's Video on Fable I first started by creating a nice template for tech documentation for personal use. It created a beautiful piece of work in about 5 minutes - something I could easily expand on in the future. Here is what it generated for me with after a one or two careful prompts: Clean UI, Easy Navigation! Created this personal reference guide for studying for CCNA (Network Chucks Summer of CCNA) Wanna see it? It lives here: Techdocs But after learning about the true span of Fable's power, I started asking the serious questions, the ones that are life-changing. How can I increase my quality of life based on my resume, experience, and current life circumstances? I wrote about 2 pages of life issues that needed fixing - you know the stuff that slowly eats away at your soul, like student loan debt and people that are challenging to work with? Yes - I told it my biggest issues and instructed it to give me actionable plans that are free or low-cost. Even fable told me that this was a lot. 😅 Getting Organized Knowing the scope of my own problems I knew that my thoughts and processes had to be organized. Luckily for me, I remembered I had a good place to do that. A place that Fable could connect to and place documentation in place for me with checklists, notes, summaries and actionable plans. That app is called Notion, and some of you may have heard of it. No one is going to organize your life for you, no one, except for AI I couldn’t think of a better place for lightning fast critical life-admin documentation on the spot. And I can tell you, this integration works like a charm, and I highly recommend it. For a busy person with a million ideas, this is great. Anxiety Relief I had a tremendous amount of

Is Your Unity Game's Physics a Hidden Bottleneck? Unlock CPU Power with Jobs and Burst Introduction It's 2026, and player expectations for high-fidelity, responsive game worlds have never been higher. Yet, for many Unity developers, the pursuit of complex physics, intricate AI, or large-scale simulations often runs headlong into a critical bottleneck: the main thread. If your Unity game still relies primarily on MonoBehaviour.Update() for computationally heavy tasks like custom collision detection, advanced pathfinding, or sophisticated flocking behaviors, you're inadvertently sacrificing precious frames and player experience. The sequential nature of Update() becomes a severe limitation, preventing your game from fully utilizing modern multi-core CPUs. The solution isn't just an optimization; it's a fundamental architectural shift. Unity's Jobs System and Burst Compiler are no longer esoteric tools reserved for DOTS (Data-Oriented Technology Stack) purists. They are immediate, essential allies for extracting raw, predictable, and highly performant power from your CPU cores. By embracing these systems, you can transform your game's performance, delivering unparalleled fluidity and scalability. Code Layout and Walkthrough: Embracing Parallelism The core problem with MonoBehaviour.Update() is that it executes serially on the main thread. While fine for simple per-frame logic, complex calculations involving many entities quickly become a single-threaded choke point. The Jobs System, coupled with the Burst Compiler, offers a robust alternative. 1. The Power Duo: Jobs System and Burst Compiler Jobs System: This framework allows you to break down heavy computations into small, independent units of work (Jobs) that can be scheduled to run in parallel across multiple CPU cores. It handles the complexities of thread management, allowing you to focus on the logic. Burst Compiler: This incredible technology takes your C# code written for Jobs and compiles it into highly optimi

Apple built a tool for people with cognitive disabilities, but I accidentally discovered it’s also the best kids’ phone setup no one is talking about—not even Apple.

We have all been there. You are sitting at your desk late at night, your code is throwing errors that...

How to Compress Images in the Browser with Canvas API Every image you upload to a "free" online compressor is sent to a server — often without you knowing what happens to it afterward. For a tool that processes your private photos, that's a terrible design. Here's how to build (or use) an image compressor that runs entirely in the browser using the HTML5 Canvas API. No uploads, no server costs, and unlimited file sizes. The Core Technique: Canvas toBlob() The key API is HTMLCanvasElement.toBlob() : js const canvas = document.createElement('canvas'); const ctx = canvas.getContext('2d'); const img = new Image(); img.onload = () => { canvas.width = img.naturalWidth; canvas.height = img.naturalHeight; ctx.drawImage(img, 0, 0); canvas.toBlob((blob) => { const url = URL.createObjectURL(blob); }, 'image/jpeg', 0.8); }; img.src = 'your-image.jpg'; The second parameter is the MIME type (image/jpeg, image/png, image/webp, image/avif). The third is quality (0–1). Step-Down Resizing for Large Images If you're compressing a 6000×4000 px photo, drawing it at full resolution onto a canvas can eat 70+ MB of memory. Step-down resizing halves the dimensions repeatedly: function stepDownEncode(img, maxDim, quality) { let w = img.naturalWidth; let h = img.naturalHeight; let src = img; while (w > maxDim * 2 || h > maxDim * 2) { w = Math.floor(w / 2); h = Math.floor(h / 2); const temp = document.createElement('canvas'); temp.width = w; temp.height = h; temp.getContext('2d').drawImage(src, 0, 0, w, h); src = temp; } const canvas = document.createElement('canvas'); canvas.width = w; canvas.height = h; canvas.getContext('2d').drawImage(src, 0, 0, w, h); return new Promise((resolve) => { canvas.toBlob((blob) => resolve(blob), 'image/jpeg', quality); }); } This prevents memory crashes and actually produces better quality (step-down preserves more detail than a single jump). Comparing Real-World Results Format Avg Original Avg Compressed Avg Savings JPEG → JPEG (Q80) 3.2 MB 0.8 MB 75% PNG → We

Ambystoma quetzalcoatli is the first fossil salamander to be formally identified in Mexico, revealing that axolotls have inhabited the country for millions of years.

Table of Contents Setting a New Benchmark for Myself My Most Productive Six Months Yet 2...