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If you write software for a living and you're considering a trip to China in 2026, the friction you'll hit is not what you expect. The Great Firewall is the headline, but it's rarely what trips up a first-time visitor. What actually breaks your week is the small stuff: a QR code at a noodle shop, a metro turnstile that won't take your foreign card, a hotel Wi-Fi that quietly drops every request to Google. This is a brief survival guide written from a developer's mindset: what's actually changed in 2026, what you can fix before you leave, and what you should just accept. 1. Visa-free entry now covers most Western devs As of late 2025, China extended its 30-day visa-free transit policy to passport holders from 38 countries, including the US, UK, Germany, France, Australia, the Netherlands, and most of the EU. If you're flying in for a vacation, a conference, or even a short remote-work stretch, you may not need to apply for a visa at all — you just need an onward ticket within 30 days. The catch: the rules per nationality drift quarterly, and the official guidance is scattered across embassy pages. I keep a more current breakdown here: FirstTripChina visa-free guide — worth checking the week you book your ticket. 2. The payment problem is the real "API" you need to integrate China runs on two payment rails: Alipay and WeChat Pay. Cash is technically legal but vendors below the level of a 4-star hotel will look at you like you handed them a stone tablet. Foreign credit cards work at airports and big chains; they do not work at the dumpling place you actually want to eat at. The fix that exists in 2026 — and that did not exist three years ago — is "Tour Card" inside Alipay and "International" mode inside WeChat Pay. Both let you link a Visa/Mastercard issued outside China and pay via the same QR system locals use. Setup steps (roughly): Install Alipay (App Store / Play Store, US/EU regions both work). Verify with passport + selfie (KYC takes about 3 minutes). Tap Tour C

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Some days the work spreads across a few projects instead of landing as one big feature. Today was that — three distinct threads, each with a lesson worth keeping. I'll keep things generic and teach the pattern rather than the project, but the through-line is the same: move things that were hardcoded or ephemeral into something you can configure, repeat, and trust. Thread 1 — Make scheduled tasks configurable instead of code-only If you've run a Laravel app for any length of time, you know the scheduler lives in code: routes/console.php or the kernel, a wall of ->daily() , ->everyFiveMinutes() , ->cron(...) . That's fine until the day an operator — not a developer — needs to change when something runs. Then you're shipping a deploy just to nudge a cron expression. Silly. Today's work pulled scheduler configuration into a settings-backed UI. The pattern is worth stealing: instead of the schedule being a literal in code, the code reads its cadence from a settings store, and there's an admin screen to edit it. // Instead of a hardcoded cadence... $schedule -> command ( 'subscriptions:reconcile' ) -> daily (); // ...read it from settings, with a sane default baked in. $schedule -> command ( 'subscriptions:reconcile' ) -> cron ( $this -> schedulerSettings -> reconcileCron ?? '0 2 * * *' ); Two things made this clean. First, a SchedulerSettings object (Spatie's settings pattern) so the values are typed, cached, and migratable — not loose rows you Setting::get('...') by string key. Second, grouping the more user-facing schedules behind their own modal rather than dumping every cron in one giant form. A subscription-related schedule belongs next to subscriptions; a platform schedule belongs in admin. Same data, but organized by who needs to touch it . The edge case to watch: a UI-editable cron is a foot-gun if you let people type nonsense. Validate the expression on save, and always keep a default so a blank setting can never silently disable a job. Thread 2 — A load-testing

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Every time I opened a fresh session with my coding agent, it started from zero. Which repos am I working across? Which client is this for? Where did we leave off yesterday? I'd re-explain the same context, the agent would occasionally load the wrong project, and nothing I decided last week survived into this one. A "re-explain myself" tax on every single session. I tried the obvious fix first — a better prompt, a longer system message. It didn't hold. Context that has to persist can't live inside the chat; the chat is the thing that resets. What actually worked: give the agent a place outside the chat to read and write — and make it the most boring, durable thing I could. Plain files in a git repo. The substrate: markdown + YAML the agent reads at session start open-bridge is a plain git repo of markdown and YAML. At the start of every session the agent reads it, so it begins already knowing my world. No database, no SaaS, no daemon, nothing to host — the substrate itself runs nothing . It's just files the agent reads. That "just files" choice is the whole point: Agents can read a file but can't hold an API key. What I write today, the agent still reads in six months — no migration, no second app, no vendor lock-in. It's auditable. Clone it and cat anything the agent reads. No black box. It's model- and tool-agnostic. Plain text is something every agent runtime can read. A tiny slice of what that looks like (from the repo's examples/agency setup — fictional "Acme Dev"): # ecosystem.yaml — the repos/clients the agent should know about projects : bigcorp : { display_name : " BigCorp E-Commerce" , repos : [ bigcorp-api , bigcorp-frontend ] } startupxyz : { display_name : " StartupXYZ MVP" , repos : [ startupxyz-app ] } # work/board.md — generated from the task dirs, read every session ## Doing | bigcorp-api-payment-retry | incident | P1 | Stripe webhook retries failing | | startupxyz-onboarding | feature | P2 | guided signup flow | So when I say "good morning, briefing

Prototype vs MVP: How to Validate an Interactive Product Before Overengineering It A common early-stage product mistake is treating development output as product validation. The team creates screens, components, integrations, API endpoints, and increasingly complex application logic. The backlog is moving. The product is growing. But the core assumption may still be untested. Before building a full MVP, a startup should be able to answer a simpler question: What exactly are we trying to validate? For some products, a clickable UI prototype is enough. For others — especially products involving real-time 3D, WebAR, WebXR, data visualization, or spatial interaction — the experience cannot be validated through static screens alone. The team may need a functional interactive prototype. Prototype and MVP solve different problems A prototype is an experiment. Its purpose is to explore the concept, test the main interaction, and expose incorrect assumptions early. An MVP is a usable product. Its purpose is to deliver real value in production conditions and test market demand. A prototype helps validate: interaction logic; product comprehension; technical feasibility; the main user flow; visual communication; investor or stakeholder response. An MVP helps validate: real usage; retention; willingness to pay; production performance; operational requirements; market demand. The distinction becomes important because prototypes and MVPs require different engineering decisions. A prototype should be focused and fast. An MVP needs a more reliable technical foundation. Building the second before learning from the first can lead to unnecessary architecture, unused features, and expensive rework. Define the hypothesis before choosing the stack Teams often begin technical discussions too early. Should we use React? Should the 3D layer be built with Three.js? Do we need WebXR support? Should the backend be serverless? These may be relevant questions, but they are not the first questions

"What time works for everyone?" is a surprisingly hard question to answer in code. You have to read each person's calendar, line up the busy blocks, respect working hours and time zones, leave buffer time between meetings, and only then find the gaps everyone shares. The Nylas Availability API does all of that in one request: hand it a list of participants and a window, and it returns the time slots that actually work. This post covers finding meeting times from two angles: the HTTP API for your backend, and the nylas CLI for the terminal. I work on the CLI, so the terminal commands below are the ones I reach for when I'm checking a calendar. Availability versus Free/Busy There are two endpoints here, and picking the right one saves you work. The Availability endpoint finds bookable slots across a group of participants, applying working hours, buffers, and meeting duration to return times you can actually book. Free/Busy is simpler: it returns the raw busy blocks for one or more email addresses over a window, leaving the slot math to you. Reach for Availability when the question is "when can these people meet?" and you want the answer as a list of open slots. Reach for Free/Busy when you only need to see when calendars are busy, for example to gray out times in a custom UI. Availability is a POST /v3/calendars/availability , an application-level call that takes participants by email, while Free/Busy is grant-scoped at POST /v3/grants/{grant_id}/calendars/free-busy . This post focuses on Availability, since that's the one that answers the scheduling question directly. Find a time across participants The core request lists the participants and the window to search. Each participant is identified by email and must be associated with a valid Nylas grant, since the endpoint reads their calendars. You set start_time and end_time as Unix timestamps for the search window, duration_minutes for how long the meeting is, and interval_minutes for how the candidate start times ar

Email is how most files still move between people: the signed contract, the PDF invoice, the logo embedded in a newsletter. If your app sends or processes mail, it has to handle attachments, and doing that against each provider means Gmail's attachment encoding, Microsoft Graph's, and raw MIME for IMAP. The Nylas Email API gives you one model for both directions: attach files to outbound messages with the same call you use to send, and pull files off inbound messages with a read-only Attachments API. This post covers both halves from two angles: the HTTP API for your backend, and the nylas CLI for the terminal. I work on the CLI, so the terminal commands below are the ones I reach for when I'm checking a file came through. Two APIs: one to attach, one to read There's a split worth understanding up front. You add attachments through the Messages or Drafts API, as part of sending or saving a message, and you read existing attachments through the dedicated Attachments API. The Attachments API is read-only: it downloads bytes and returns metadata, but it never adds files. That division keeps the model simple, since attaching is part of composing a message and reading is a separate concern. The size of what you're attaching decides how you encode it on the way out. Small files ride inline in the JSON request, larger ones move to a multipart request, and very large files use a separate upload step. On the way in, every attachment, regardless of how it was sent, is fetched the same way: by its attachment_id together with the message_id it belongs to. Get those two ideas straight and the rest is mechanical. Attach a small file inline with Base64 For files that keep the whole request under 3 MB, the simplest path is the application/json schema. You pass each attachment in an attachments array with its content_type , filename , and the file bytes as a Base64-encoded content string. The 3 MB ceiling covers the entire HTTP request, not just the file, so it's the right path for

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