标签：#build

Microsoft just kicked off Build 2026 with a keynote from CEO Satya Nadella and other company leaders. As expected, it was filled with announcements, ranging from new Surface hardware to an always-on personal assistant and updates across Microsoft's in-house AI models. If you didn't watch the event live, you can catch up on all the […]

Microsoft claimed last year that it had made a key breakthrough in quantum computing with Majorana 1, the company's first quantum processor. While physicists were immediately skeptical of Microsoft's claims, the software giant is announcing Majorana 2 today, the next generation of its topological quantum chip. Majorana 2 contains qubits, a unit of information in […]

Microsoft announced a bunch of new in-house AI models at Build 2026, including a new "flagship" model: MAI-Thinking-1. It's an ambitious step into model development for Microsoft, which introduced its initial in-house models last year - before then, it had relied on OpenAI's models. The two companies recently renegotiated their deal to loosen ties. According […]

Much like Google, Microsoft is launching its own version of OpenClaw. Microsoft Scout is an always-on assistant that integrates into Microsoft 365 apps like Outlook, OneDrive, and Microsoft Teams, allowing businesses to assign a virtual assistant to employees to help with organizing calendars, expense reporting, email drafts, and much more. Unlike Copilot that lives inside […]

Microsoft just announced "Project Solara," a new OS designed for gadgets that run AI agents, at Build 2026. The company is calling it "a new platform built from the ground up to power agent-driven experiences." It's built on Android, not Windows. Microsoft demonstrated two concept Project Solara devices at Build today: Desk concept and badge […]

Microsoft only just announced a new Surface Laptop Ultra at the weekend, and it's now revealing a miniature Surface PC aimed at developers. The new Surface RTX Spark Dev Box is powered by Nvidia's new Arm-based RTX Spark chips, just like the Surface Laptop Ultra, and is optimized for sustained workloads and local AI tasks. […]

Microsoft’s annual developer conference is kicking off on June 2nd in San Francisco with the keynote presentation streaming live at 12:30PM ET / 9:30AM PT, and we will be following along here with everything as it’s announced. The Verge’s Tom Warren reports that we can expect to hear about new AI models and agentic OpenClaw-like […]

Microsoft is kicking off its yearly Build developer conference in San Francisco today, sandwiched between the recent Google I/O and Apple's upcoming WWDC event. While tickets to attend Build in person are sold out, the conference is being streamed for free online, with CEO Satya Nadella opening with a keynote at 12:30PM ET / 9:30AM […]

In the first post I told you the story: 20 years as a developer, six months of being scared of AI, $800 in burned tokens, and a stubborn agent named Claudio who taught me — by failing over and over — how to ask for things properly. This post is the method that came out of all that pain. Five rules, one per letter of FORGE. I want to be honest about one thing up front: this is not a framework I invented at a whiteboard. Every rule here is a scar. Each one is the lesson from a specific mistake that cost me money, time, or sleep. I'm going to tell you the mistake first, and then the rule. Because the rule only makes sense once you've felt the pain that created it. Let's go. First, the idea behind all of it Here's the thing nobody told me when I started: A task is not a post-it. It's a contract. When you ask an AI agent for something with no structure, you're not giving an order — you're placing a bet. The agent interprets, assumes, improvises, and the result depends on how much context it managed to reconstruct on its own. Sometimes it guesses right. Often it doesn't. And you only find out after the tokens are gone. The Forge Method is the agreement between you and your agents: you bring the structure, they execute with precision . That's it. Five rules to hold up your end of that contract. F — Focused The mistake: My early tasks had titles like "Fix bug" and "Update stuff." I'd come back twenty minutes later to find the agent had fixed a bug — just not the one I meant. It wasn't wrong. It just had no way of knowing which thing I was talking about. **The rule: **If the title is vague, the task is vague. Vague in, vague out. A focused title needs a domain, an action, and a scope. Two words minimum, and no generic placeholders. ❌ Rejected: - "Fix bug" - "Update auth" - "Do the thing" ✅ Accepted: - "Fix authentication timeout on Nginx reverse proxy" - "Update JWT expiry from 1h to 24h in src/auth/config.ts" The test: Read the title with no context. Do you know the domain,

We wanted to show you what happens after the confetti falls. We checked in with some of our recent alumni, many of whom have sat down with us on Build Mode: The Founder Survival Guide, TechCrunch's podcast for founders at every stage.

Microsoft is heading to San Francisco this week in a bid to win back developers at its Build conference. I've been attending Build since the days when Microsoft called it the Professional Developers Conference, and I can't remember a more pivotal moment. As Microsoft continues to reshuffle its entire business around AI, it's moving Build […]

Introduction to AWS certifications First things first, lets understand what the AWS Security Specialty certification is and where it fits in the AWS certification ecosystem. AWS certifications are divided into levels, each one targeting a different stage of your journey: Practitioner Associate Professional Specialty The practitioner level is where most people start. It focuses on foundational cloud concepts and basic AWS knowledge. As of today, there are two certifications at this level: AWS Cloud Practitioner AWS AI Practitioner The Cloud Practitioner covers core concepts like IAM, security, availability, pricing, and general cloud architecture. The AI Practitioner follows a similar structure, but focused on AI concepts and AWS AI services. The associate level is where things start to get more practical. At this level, you are expected to understand how to design and build solutions using AWS services. Some well-known certifications here are: Solutions Architect Associate Developer Associate SysOps Administrator The professional level goes much deeper. Here, you are expected to design complex architectures, handle trade offs, and make decisions based on real world constraints. The main certifications are: Solutions Architect Professional DevOps Engineer Professional Finally, we have the specialty certifications. These are focused on specific domains and require deep knowledge in a particular area. Examples include: Security Specialty Machine Learning Specialty (Retired) Advanced Networking Specialty And this is exactly where things start to get serious. At this level, AWS is no longer testing if you understand the services. It's testing if you can actually apply them in complex, real world scenarios. What it is and who this certification is for The AWS Security Specialty is one of the most difficult certifications in your AWS journey. This exam expects that you already know the basics and are comfortable with complex and long detailed scenarios that you often come

Six months into running my SaaS, my "feedback system" was three browser tabs, a starred Gmail folder, and a sticky note on my monitor that said "check Discord." That was the whole system. It held together until the day I found a three-paragraph email from a paying user — a genuinely detailed feature request with a real use case — sitting unread for 24 days. His last line was: "Happy to pay more if you can support this." I replied the same afternoon I found it. His reply: "Switched last week, thanks anyway." That was the moment I stopped treating feedback management as a nice-to-have. Why the usual fixes didn't fix anything I tried the obvious things first. I want to document them because I see a lot of people cycling through the same failed solutions. Notion database 🪦 Built a beautiful one. Color-coded tags, priority columns, status tracking. It lasted 11 days before nobody — including me — was maintaining it. The friction of "open Notion, find the right database, fill in six fields" is invisible when you're designing the system and fatal when you're in the middle of a support conversation. Airtable form 🪦 Better entry point, still disconnected from where users actually were when they had feedback. Nobody bookmarks your Airtable form. They DM you on Discord and you think "I'll add that later" and you don't. Canny — this one actually worked, for a while I genuinely liked Canny. Clean interface, users could upvote requests, I could see what was popular. It felt like a real system. Then our user count grew and the pricing tier jumped. I was looking at $99/month for a feedback board for a product still finding its footing. That's not a moral judgment on Canny — it's a fair product — but for a bootstrapped indie dev, it started feeling like a tax on momentum. The deeper problem with all three solutions was the same: they were inboxes, not loops. User submits → enters the void → user never knows if anyone saw it → user assumes nobody did → trust erodes → churn. I had bui

A Power BI financial dashboard for healthcare finance teams connects EHR billing exports, the general ledger, and payer contract tables into a unified model, then applies row-level security so each cost-center owner sees only their data. A well-structured build takes four to six weeks and gives CFOs, finance directors, and department heads real-time visibility into revenue cycle performance, operating margin, and budget variance. Key Takeaways Connect EHR billing data, your GL, and payer contract tables through Power Query dataflows before building any visuals. Five essential views: revenue cycle summary, operating expense by department, budget variance heat map, payer mix analysis, and 90-day cash flow runway. Row-level security (RLS) scopes each department head's view to their own cost-center data without requiring separate reports. Scheduled dataset refreshes and Power Automate flows cut monthly reporting cycle time from days to hours. HIPAA alignment requires sensitivity labels, private links, and audit logging in addition to RLS - security roles alone are not sufficient. What Makes Healthcare Financial Dashboards Different from Standard Finance Dashboards? Healthcare finance operates under constraints that most corporate FP&A teams never encounter. Payer mix directly affects recognized revenue. Cost centers map to clinical departments spanning multiple facilities. And every data movement may touch protected health information (PHI) , which means the data architecture must satisfy HIPAA even when the dashboard itself shows only aggregated financial figures. According to Market Research Future (2025), the Healthcare Financial Analytics Market is projected to grow at an 8.58% CAGR from 2025 to 2035 , driven by value-based care adoption, regulatory changes, and demand for real-time decision support. Most healthcare organizations still export Excel files from their EHR and reconcile them manually against the general ledger. Power BI closes that gap - but only if the

> TL;DR — I run four different domains off one Next.js codebase: a marketing site at pagestrike.com , an authenticated app at app.pagestrike.com, a public publishing domain at pagestrike.app, and customer-owned domains. The trick isn't deploying four apps — it's a single proxy.ts that reads the host and rewrites/redirects/passes-through per-request. This post walks through why I chose this shape, the parts I got wrong, and the cookie-domain trick that makes it all stick. Stack: Next.js 16 App Router , Supabase , Vercel , one proxy.ts file (~370 lines). This is the second post in my build-in-public series on PageStrike . Last week I wrote about the 6-CTA architecture — modeling conversion intent as a discriminated union so one launch could be a checkout, a COD form, or a calendar booking. This post is about a different primitive: modeling host as routing context so one codebase can serve four very different audiences. Why four domains, not one Most SaaS apps live at one domain — say myapp.com with /dashboard under it. That works until you grow into edge cases that don't fit: Marketing pages get spammed by your own dashboard headers. Your marketing nav says "Sign in / Pricing / Blog". Your dashboard nav says "Launches / Contacts / Settings". You either A/B them with conditional logic everywhere or you live with the noise. Public user-generated pages share your domain reputation. When a customer publishes a landing page at myapp.com/p/[slug] , every spammy LP from a free-tier user drags down myapp.com 's sender reputation, search trust, and ad-account standing. Google and Meta penalize the host, not the path. Custom domains don't route cleanly. A customer who buys acmewidgets.com and points it at your app expects their LP at acmewidgets.com/ — not myapp.com/p/acme-widgets . You need a rewrite that's transparent to the visitor, doesn't 404 on _next/static/* , and survives RSC prefetches. I split PageStrike — a free AI landing page builder — across four hosts to solve al

I pondered the other day what's next for Microsoft's Surface PC lineup, and it looks like we're about to find out. Windows and Surface chief Pavan Davuluri has just teased "something new is coming for developers," complete with a mysterious image of what looks like a curved display edge. Davuluri notes that whatever is coming […]

In Part 14 , I finished HMAC webhook signing. The backend was complete — JWT auth, PostgreSQL, Redis caching, rate limiting, circuit breaker, worker pool, webhook delivery, migrations, Docker. All running locally. But "runs on my machine" isn't a portfolio project. It's a homework assignment. Time to ship it. The Stack Being Deployed Go backend — ~15MB Docker image (multi-stage build, CGO_ENABLED=0) PostgreSQL 16 — with golang-migrate running schema migrations on startup Redis — for caching, rate limiting, and refresh token storage Oracle Cloud Free Tier — 1GB RAM, 45GB disk, already provisioned Everything wired together with docker-compose.yml . One command to start the entire stack. Step 1: The VM Was Fine, Actually I was worried about the free tier specs. Turned out the "1GB" in the tier name refers to RAM, not disk. The actual disk is 45GB — plenty. free -h # 954MB RAM, 552MB available df -h # 45GB disk, 41GB free The real constraint: no swap . Go's compiler is memory-hungry. Without swap, building the Docker image on the VM would exhaust RAM and kill the process. More on this in a moment. Step 2: Install Docker curl -fsSL https://get.docker.com | sudo sh sudo usermod -aG docker ubuntu newgrp docker The official install script handles everything — Docker Engine, containerd, Docker Compose plugin. One command, done. Step 3: Clone the Repo The repo is private. Created a fine-grained GitHub personal access token with Contents: Read-only permission. Used it to clone: git clone https://TOKEN@github.com/absep98/Go_learn.git Security note: never paste tokens in chat, email, or anywhere visible. Type them directly into the terminal. Tokens in chat history are compromised tokens. Step 4: Create the .env File The .env from my local machine needed two changes for Docker: # LOCAL (wrong for Docker): DB_HOST = localhost REDIS_HOST = localhost # DOCKER (correct): DB_HOST = postgres # ← service name in docker-compose.yml REDIS_HOST = redis # ← service name in docker-compose.ym