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Stitch is a vibe design tool with an AI-native canvas that can hold and reason across images, code, and text simultaneously. The design agent understands users' entire canvas context, allowing them to swap images, generate product briefs, or mix mobile and desktop screens on the same canvas. Users can vibe design with just their voice, and also ask for design critiques and variations. The tool creates instant prototypes so users can preview the interactive app flow.
Amazon's contract renewal negotiations with the US Postal Service have fallen apart. The company plans to sharply reduce the number of packages it sends through the Postal Service when the contract expires at the end of September. It has submitted a bid as part of the Postal Service's auction process with the hope of continuing the partnership, even at a reduced level. Amazon last year committed to spending roughly $4 billion by the end of 2026 to triple the size of its rural delivery network.
TransAstra, a Los Angeles-based company, plans to fly out to a smallish, near-Earth asteroid, throw a large bag around it, and bring the body back to a safe gathering point near Earth. One of its customers has agreed to fund a feasibility study of the mission. The study will be completed by May, after which the company will further refine its mission plan. If fully funded, the mission could rendezvous with an asteroid as early as 2028.
Starlink is a true technological leap over every other form of airline Wi-Fi. The older forms of satellite Wi-Fi are fundamentally constrained by the laws of physics. Starlink's network can provide global coverage, and its lower orbit means that planes are much closer. However, the lower orbit also means much more damage to the satellites, causing them to degrade in about five years.
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Every deal you've lost to a forgotten follow-up was preventable. Lightfield [9] is the first AI-native CRM with complete customer memory — it updates itself, drives next steps, and answers questions so you stop losing deals. TLDR readers get 3 months free with code:
OpenAI Codex is a coding agent that can write features, fix bugs, answer questions about codebases, and propose pull requests. Each task runs in its own isolated cloud sandbox, and users can assign multiple tasks in parallel while monitoring progress in real time. The system has three layers: the agent loop, prompt and context management, and the multisurface architecture that lets one agent serve many different interfaces. Understanding how the system works helps users work more effectively.
The Machine Payments Protocol is an open protocol for machine-to-machine payments. It allows developers to charge for API requests, tool calls, or content. Agents and apps pay per request in the same HTTP call. The protocol works with stablecoins, cards, and bank transfers in any currency.
The field of computer science is changing as AI is now able to perform many of the tasks expected of junior developers. This is causing some students to feel apathetic about their career potential in the field. Teachers face challenges with figuring out how to teach the fundamentals that students will need to become senior engineers without the experience that working as a junior provides.
Local models can often run faster than large proprietary models, and without much decline in performance. Faster responses mean quicker and more revision cycles. Some tasks need the increased performance of larger models, but many everyday tasks will benefit more from tighter feedback loops. The smartest AI is not always the best AI to get the job done.
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Your metrics may look healthy, but hidden inefficiencies are slowing
Intercom's internal Claude Code plugin system has 13 plugins, over 100 skills, and hooks that turn Claude into a full-stack engineering platform.
Software has always wanted to be free, and it eventually will be, so the business of software needs a different approach.
Coding agents can't reliably fill in missing clarity and detail as they aren't mind readers, and even if they were, there's not much they can do if your own thoughts are confused.
As the first engineer on TLDR's new Applied AI team, you'll build AI agents to automate end-to-end workflows and lead our context engineering project to allow non-technical teammates create their own AI workflows. Learn more [19].
Sashiko ingests patches from mailing lists, analyzes them using AI-powered prompts, and provides feedback to help maintainers and developers ensure code quality and adherence to kernel standards.
Meta's new Creator Fast Track program offers creators with an established following guaranteed monthly payments and increased reach on Facebook.
Any time someone insists on a method for how to build a successful startup, you should do something different.
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Wispr Flow [5] turns your voice into clean, sendable text. Not clunky transcription. Polished, formatted text you can send immediately.
Amazon is rolling out one-hour and three-hour deliveries in parts of the US. Three-hour delivery will be available in about 2,000 cities and towns, while one-hour delivery will be available in hundreds of areas. More than 90,000 products are eligible for the service. Shoppers will be able to filter search for products that can be delivered in three hours or less.
OpenAI has released GPT-5.4 mini and GPT-5.4 nano. GPT-5.4 mini is live on the API, Codex, and ChatGPT, while the nano model is reserved for API users only. Both models are designed for workflows where response time shapes the product. GPT-5.4 mini is priced at $0.75 per million input tokens and $4.50 per million output tokens, while GPT-5.4 nano lands at $0.20 and $1.25.
Nvidia is expanding its partnerships with both Uber and Lyft as it positions itself as the technical backbone for future robotaxi fleets. It is building out a full hardware and software platform for self-driving vehicles. Its technology will help companies compete with Tesla and Waymo. Shares of Uber and Lyft both rose on the news.
Donut Lab will supply its production solid-state battery pack to Estonian company Verge Motorcycles this spring. The companies recently showcased a Verge TS Pro motorcycle charging at a public DC fast-charging station. The motorcycle was equipped with an 18 kWh (nominal) solid-state battery pack with a manufacturer-estimated range of 217 miles. The battery charged to 80% in 12 minutes.
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Stop babysitting your coding agents. Unblocked [10] gives them the organizational knowledge to generate mergeable code. It pulls context from your engineering stack, resolves conflicts, and cuts the rework cycle by delivering only what agents need for the task at hand. See
Open SWE is an open source framework that provides the core architectural components for coding agents. It provides isolated cloud sandboxes, curated toolsets, subagent orchestration, and integration with developer workflows. The framework is intended as a customizable foundation rather than a finished product. Every major component is pluggable.
Skills have become one of the most used extension points in Claude Code due to their flexibility, ease of creation, and how simple they are to distribute. This flexibility can make it hard to know what works best. Anthropic has been using skills in Claude Code extensively, with hundreds of them in active use. This post details lessons Anthropic's team learned when using skills to accelerate development.
This article contains an edited transcript of an interview with Nvidia CEO Jensen Huang. The interview covers Huang's GTC 2026 keynote, changes in AI over the past year, Nvidia's approach to business, the AI stack and how it affects Nvidia, the China question, and Huang's frustration with doomers and their influence in Washington.
OpenAI's recent announcement that its leadership wants the company to focus is likely related to its upcoming IPO. Anthropic, OpenAI, and SpaceX are all planning imminent IPOs. If all three just offer 15% of their shares, the combined sum would roughly equal every dollar raised across all American IPOs over the last decade. The first company to IPO would gain a large advantage in the market.
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Granola transcribes directly from your device audio, so no bot ever joins the call. Simply jot down what matters, and Granola turns your
AI doesn't remove the need for the review process, which takes significant time at every layer.
Officials at China's National Development and Reform Commission called in executives from Meta and Manus for a meeting late last week to express concerns about the deal.
Fair Source is a movement complementary to Open Source that encourages companies to safely share their core software products.
As the first engineer on TLDR's new Applied AI team, you'll build AI agents to automate end-to-end workflows and lead our context engineering project to allow non-technical teammates create their own AI workflows. Learn more [20].
Spreadsheets only won because the barrier to writing software was too high, but AI code generation flips that equation completely.
Crust is a TypeScript-first, Bun-native CLI framework with composable modules.
OpenReview is a self-hosted AI code review bot that provides on-demand PR reviews powered by Claude.
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Attending NVIDIA GTC, virtually or in-person? See what Google x Nvidia have been cooking at these hands-on sessions:
* Explore how agents and digital humans are redefining customer
P.S. Don't forget to stop by the Google Cloud booth for some goodies and to hear the latest updates directly from the Google team!
OpenAI's 'do everything at once' strategy has put the company on the defensive. Its top executives are finalizing plans for a major strategy shift that will refocus OpenAI around coding and business users. The company's leaders are actively looking for areas to deprioritize. OpenAI has taken steps towards an initial public offering that could open in the fourth quarter of this year.
Nvidia introduced a huge array of new products at its annual GTC conference on Monday, ushering in new hardware and software geared towards running AI models more quickly and efficiently. The company has been signaling for most of the last year that it would increasingly focus on inference computing going forward. Its traditional GPUs are not ideal for inference because they consume a large amount of energy and don't come with enough attached memory. Nvidia expects to sell $1 trillion worth of its Blackwell and Rubin chips, focused on inference, by the end of 2027.
Nvidia's Vera Rubin Space-1 Module is designed for orbital data centers. Specifically engineered for size-, weight-, and power-constrained environments, the chips will be used on space missions led by multiple companies. There are still engineering hurdles to overcome in building orbital data centers. For example, in space, there's no convection, so Nvidia has to figure out how to cool the system with just radiation.
The entire neuronal diagram of the fruit-fly brain was mapped in 2024. Later research showed the map can be used to predict behavior. The brain map has now been uploaded into a digital environment. It's not a simulation - the fly's 'sensors' are being activated by the digital environment and the neurons are responding. The digital fly appears to behave in the digital environment in reasonably fly-like ways. A video that explains the yet-published experiment (with footage of the digital fly) is available in the article.
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AI has broken the language barrier. What comes next? See how GOOGLE CLOUD and NVIDIA are transforming robotics in this exclusive session with Disney, NVIDIA, DeepMind and Skild AI [13]; or tune in to a fireside chat [14] between DeepMind Chief Scientist Jeff Dean and NVIDIA Chief Scientist Bill Dalyon the next frontier of AI.
Investments in developer productivity can provide unexpected dividends when agents are included in the workflow. Stripe's Minions work in isolated environments with hybrid orchestration that mixes deterministic guardrails with agentic flexibility. Curated context needs agents with the right information without overwhelming them, and fast feedback loops help to iterate. Each layer is necessary, and none alone is sufficient.
Better coding tools produce better models, which produce better coding tools. The bottleneck has moved to managing long-horizon tasks and deploying agents in regulated settings. The human role is shifting to planning, evaluating, and steering. Enterprise adoption is gated by permissioning, sandboxing, and regulatory caution more than by model capability. Slop and convergence are real concerns, and context remains unsolved.