找到 10812 篇相关文章
Learn how pull request limits can help manage contribution volume in your repositories, and see what’s next on the roadmap. The post How pull request limits are cutting down the noise appeared first on The GitHub Blog .
When three Amazon software engineers testified earlier this month at Seattle City Council hearings about data centers, they started their testimony by citing a city law barring employment discrimination over political speech. Now, they're accusing their employer of breaking that law by retaliating against them. On June 10th - one week after the hearing, and […]
Most SaaS ideas don’t fail because of bad ideas. They fail because the execution gets stuck in an endless setup loop. You start with energy, then slowly get buried in: auth systems, billing, dashboards, SEO, analytics, and infrastructure decisions. By the time the “real product” should begin, momentum is already gone. Here are 7 practical alternatives to building SaaS in a way that never gets finished. 1. Nexora (start with a working SaaS foundation) Instead of rebuilding everything, Nexora gives you a production-ready base so you can focus on actual features. Includes: Authentication system Stripe billing User dashboards SEO pages Blog + docs structure Clean Next.js architecture 🔗 https://nexora.collabtower.com/ 👉 Best for founders who want to ship instead of setup. 2. Build-from-scratch Next.js projects The most common approach. You get: Full control Flexible architecture But you also get: Weeks of setup Repeated boilerplate work High chance of burnout before launch 3. SaaS boilerplates (minimal versions) Lightweight starter kits with: Auth Basic UI Simple Stripe setup But usually missing: Real dashboards SEO systems Production-level structure 4. Supabase-first builds Backend-focused setups. You get: Database Auth APIs But still need to build: Billing UI system Marketing pages SaaS structure 5. Low-code SaaS tools Fast visual builders. Pros: Quick UI creation No heavy coding Cons: Limited flexibility Hard to scale complex SaaS logic Platform dependency 6. AI-generated starter apps AI tools can scaffold SaaS apps instantly. Pros: Fast starting point Cons: Inconsistent structure Requires cleanup Not production-ready out of the box 7. Tutorial-based SaaS builds Many developers still learn SaaS by following tutorials step-by-step. Pros: Educational Cons: Slow Fragmented Hard to turn into real production apps Final takeaway Most SaaS workflows fail before launch because they repeat the same mistake: They start from zero every single time. That creates unnecessary setup
# EnvForge BETA v1.1 ⚡ Structured .env scaffolding for modern applications. Generate, validate, and protect environment variables for 14+ services – without ever opening a docs page. Github repo [ https://github.com/Jos3456/envforge ] NPM version (https://img.shields.io/npm/v/envforge-dev) MIT License (https://img.shields.io/badge/License-MIT-yellow.svg) ## Installation bash npm install envforge-dev **Requirements:** Node.js 18 or later. --- **## Quick Start** bash # 1. Generate an .env file and choose your providers envforge init # 2. Fill in your actual credentials envforge fill # 3. Check everything is set correctly envforge validate ## All Commands ### Scaffolding Command What it does envforge init Create a new .env by selecting providers interactively envforge add <provider> Add variables from a specific provider to your existing .env envforge preset Generate a .env from a popular stack preset envforge example Create a safe‑to‑commit .env.example file envforge fill Interactively enter values (secret keys are masked) envforge list Show all built‑in and custom providers ### Guardrails Command What it does envforge validate Check that all required variables are filled in envforge scan Detect secret keys accidentally exposed in frontend code envforge hook install Install a pre‑commit hook that runs validate + scan ### Customisation Command What it does envforge provider add Create a custom provider template envforge registry update Download the latest providers from the community registry ## Built‑in Providers Category Providers Database Supabase, Neon, MongoDB Atlas Auth Clerk, Auth0, Firebase AI OpenAI, Anthropic (Claude) Payments Stripe Email Resend, SendGrid Storage Cloudinary, AWS S3 / Cloudflare R2 Other Vercel Missing a provider? Add your own with envforge provider add or contribute one to the community. ## Framework‑Aware Scanning Use --framework for smarter detection: # Next.js specific rules (app/ vs pages/, "use client") envforge scan --framework next Th
Apple’s grip on iPhone app distribution is loosening in another major market: Brazil.
MapTap is a phone game that will make you feel smarter after you play it.
You walk into the RFP briefing. Your competitor has 200 people, 97% AI coverage, and a 4-day delivery promise. You have 15 people and a proposal you haven't even finished writing. Do you bet on better tech, or on understanding people better — and playing dirtier when you have to? This story is your answer. Act I · The Crack When Finova's RFP landed, everyone in the industry knew how big this was. Cross-border payment system. Multi-currency settlement + compliance + risk. Their last deployment had a P0 incident — an exchange rate module drifted by four decimal places in an edge case, and audit chased it for two months. So Finova's CTO made it clear: a $1.8M contract, and whoever signs off owns the result. $1.8M. Enough to keep a small testing company alive for a whole year. Plenty of firms showed up at the briefing. But only two were real contenders. QualiGuard — mid-sized, just closed their Series A, 200 people, their own AI testing platform called Aegis. A $1.8M contract was barely a rounding error for them — but with Series A money comes the pressure to show revenue growth for the next round, and Finova was a trophy client in the cross-border payments space. The case study was worth more than the project itself. Derek stood at the podium, flipping through slides packed with numbers: Aegis delivers 97.2% test automation coverage. Full Finova platform testing in four business days. No "we'll try." Just "we can do it." VeriTest — small, fifteen people. Marcus spent the whole morning working the room with Finova's people. I sat in the back row with nothing. Marcus slid back over and leaned in: "Their PPT makes yours look like a joke." I didn't answer. I was watching Derek's boss. Sarah — QualiGuard's VP, Derek's direct supervisor. She sat in the front row, off to the side, and never once looked at Derek during his entire presentation. She was on her phone. As one of the few women running a technical department, I watched her longer than I watched Derek. When Derek fla
Quick update to anyone interested in upcoming changes to the PAGI project (spiritual successor to Plack/PSGI). 1) Distribution split up: when we released PAGI, we initially released everything as one distribution. PAGI ( https://metacpan.org/pod/PAGI ) currently has a) the PAGI specification; b) the reference server and c) a bunch of ease of use tools, similar to the role that the Plack distribution played for PSGI. Putting everything into one place was just to make my life easier as in the early bunch of releases there was a lot of fixes and updates, most of which cut across all three parts of PAGI. Also I wanted to make it easy for people getting into PAGI to be able to explore the ecosystem. However now that code seems to be settling down having these in independent repos and releases makes more sense. Going forward the PAGI repo will only update if the spec itself changes; PAGI::Server and PAGI::Tools (where all the utilities and helpers now go) likewise. I think this will start to bring some stability to the ecosystem, especially now that PAGI::Server is functionally complete based on the goal chart I had for it initially. So I will only update it to fix bugs and security issues. PAGI::Tools will probably continue to see evolution over the summer as I start to nail down more common use cases and identify patterns worth encapsulating. 2) Specification clarifications and updates: The PAGI specification itself will move to v0.3 in the next release and it contains mostly clarifications and fixes. Biggest change will be a more detailed mechanism for controlling streaming output, especially around handling back pressure as well as new callbacks to notice when the output buffer is getting full and when it clears. Hopefully these changes will make it easier and more reliable to do streaming in PAGI. PAGI::Server has been updated to match, and the response helper in PAGI::Tools has some updates around that as well. Currently all this sits on Github: https://github.com/j
This is Lowpass by Janko Roettgers, a newsletter on the ever-evolving intersection of tech and entertainment, syndicated just for The Verge subscribers once a week. When Fox announced its acquisition of Roku earlier this week, executives of both companies were quick to promise that not much would change in the near future. Sure, getting its […]
AI coding agents now edit repositories, run commands, and produce branches. That makes the spec before the work more important: it carries the context, boundaries, and success criteria the agent needs. What a good coding-agent spec includes Specs are becoming more important because AI coding agents are no longer only answering questions. They are reading repositories, editing files, running commands, producing branches, and asking humans to review the result. That changes what a prompt needs to become. When an assistant only answers a question, a private prompt can be enough. When an agent changes a shared codebase, the prompt becomes an assignment. And an assignment needs more than good wording. It needs the right context, boundaries, examples, and a way to judge whether the work matched the original intent. That is the practical reason to prepare a spec before sending a coding agent into a repository. The spec does not need to be long. It does need to tell the agent what problem it is solving, what behavior should change, what must not change, and how the result will be reviewed. At minimum, a good coding-agent spec should give the agent five things: the context behind the task the behavior that should change the constraints the agent should preserve examples or scenarios that define correctness the validation evidence a reviewer should inspect This is the useful idea behind spec-driven development, behavior scenarios, issue templates, lightweight design docs, OpenSpec, GitHub Spec Kit, and many internal engineering proposal formats. The specific framework matters less than the shape of the spec: the agent should receive enough context to act, and the team should receive enough structure to review the result. The spec is not a nicer prompt. It is the prepared assignment between human intent and machine execution. Prompts are good at starting work. Specs are better at carrying it. A private prompt is optimized for immediacy. It lives in a chat session. It can inclu
submitted by /u/atoponce [link] [留言]
Guardrails positions itself as a populist political movement that runs on small donations from people in the trenches of the AI boom.
The rich are getting richer. Here’s what wealth advisers are telling their tech clients right now.
Netflix has detailed a cloud-based system for scaling camera file processing across global film and TV workflows. The pipeline handles ingest, validation, metadata extraction, and media transformation at scale using FilmLight API and distributed compute. It standardizes workflows across editorial, VFX, and color pipelines, improving consistency and reducing manual handling across productions. By Leela Kumili
Two expeditions, two spacewalks, 322 days in space.
submitted by /u/DanielRosenwasser [link] [留言]
Amazon Prime Day 2026 lifts off on June 23rd and will hopefully deliver the best deals of the summer. We’ve been covering the most notable pre-Prime Day discounts happening, and come next week, we’ll be bringing you many more deals — ones we can’t tell you about just yet. As usual, expect to see price […]
We are thrilled to announce the winners of the Hermes Agent Challenge! Over the past few weeks, the...
Spotify is launching "Reserved," a new system that will hold two concert tickets for an artist's superfans before they're on sale to the public.
If you’ve been wanting to buy a robot vacuum but have been put off by how much it can cost to get a good one, now is not a bad time to start looking. Prime Day is next week, but many retailers are offering early deals on several models we’ve tested from brands like Roborock, […]