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AWS CEO Matt Garman dismissed the idea of replacing junior staff with AI as the dumbest thing he's ever heard, arguing that these employees are inexpensive and AI-savvy. Instead, it's important to continue to hire and train junior developers to create a future workforce with critical thinking and problem-solving skills.
When first coding with Claude Code, this dev had a speed boost in his coding tasks. However, as his app grew, the review and debugging process became painstakingly slow, despite using multiple instances of Claude Code simultaneously. He found himself spending a lot of time as a QA engineer, fixing issues generated by Claude, including hallucinations about library features.
The industry is experiencing a shift from deterministic software, where inputs predictably map to outputs, to a probabilistic era driven by AI. Traditional methods of building and managing software based on pre-defined features and measurable funnels are becoming obsolete as AI models exhibit emergent, unpredictable behaviors. To succeed, companies must adopt an empirical, scientific approach, focusing on managing uncertainty and understanding user behavior through user trajectories.
Sim is an open-source platform for building and deploying AI agent workflows. It supports local AI models using Ollama.
Expo SDK 54 beta is now available, with React Native 0.81, React 19.1.0, and new features like iOS 26 Liquid Glass icons. A big improvement is precompiled React Native for iOS, reducing build times by a lot. This release also targets Android 16, enabling edge-to-edge display by default and introducing predictive back gestures.
Compounding engineering is a development approach where AI tools learn from every code review, bug fix, and pull request, building systems that improve themselves. By codifying preferences and architectural decisions, engineers can train AI agents like Claude to automate tasks and enforce consistent standards. This method turns production errors into permanent fixes.
Google has secured a big six-year cloud contract with Meta worth over $10 billion. Meta has usually been reliant on Amazon Web Services and Microsoft Azure, but is expanding its cloud infrastructure to support its growing artificial intelligence workloads.
GPT-5 automatically selects the right model for each task and proactively suggests solutions rather than just answering questions. It's possible to give it a vague coding prompt and receive a fully functional app with features never requested. This shows a shift in AI becoming more proactive over time.
A writer at Wired was able to "work/vibe-code" for Notion for two days, showing the potential for AI to supercharge coding productivity.
A simple guide to good design, which is simple, clear, functional, and doesn't show unnecessary options.
DeepSeek-V3.1 is a hybrid inference model with faster thinking capabilities, better agent skills through post-training, and API updates, including expanded context length, Anthropic API support, and function calling.
CSS is evolving from a simple styling language into a modern, powerful tool for layouts, motion, and accessibility, with growing developer confidence and satisfaction.
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If slow QA processes bottleneck you or your software engineering team and you're releasing slower because of it — you need to check out QA Wolf.
The annual Made by Google event this year was less of a keynote and more of a variety show, playing out like a special offbeat episode of The Tonight Show. The event mostly focused on hardware, but Google spent just as much time hyping up its Gemini AI integrations. This article presents a summary of everything announced at the event, including the new Pixel 10 lineup, the Pixel Watch 4, Pixel Buds 2a, and Gemini AI integrations.
Meta has stopped hiring for its artificial-intelligence division. The hiring freeze, which went into effect last week, also prohibits current employees from moving across teams inside the division. It is aimed at creating a solid structure for the company's new superintelligence efforts. It is unknown how long the freeze will last.
Coinbase recently held a Crypto x AI hackathon where about 100 engineers spent the weekend building payment infrastructure with real-world purpose. Developers at the hackathon were encouraged to integrate Coinbase's x402 open-source payment protocol, which is designed to let apps, bots, or machines charge and settle instantly in stablecoins, into their projects. Coinbase wants to build the back-end infrastructure of the AI economy. The US Congress recently passed the first US law regulating stablecoins, giving them a clear legal framework, allowing developers to take them more seriously.
Designer drugs replicate the effects of known, illicit drugs, but evade law enforcement. The variations in chemical structures help them avoid detection, but they also make them unpredictable in the body, which could pose serious health consequences. A research team has used computer modeling to create a database of predicted chemical structures for the improved detection of designer drugs. The database could someday be a publicly available supplement to the current illicit drug mass-spectral databases.
Bluesky is built on ATProto, or the Authenticated Transfer Protocol. This post explains all of the pieces of the network architecture and how they all fit together. It is aimed at getting readers to better understand how Bluesky and the underlying protocol work and how it differs from the Fediverse. The post is a good starting point for readers who want to start building apps or tools on ATProto.
AWS is almost twenty years old, and many things have changed over the years. Even experienced veterans may find it hard to track all of the changes, and it's very easy to stumble upon outdated blog posts that talk about how things used to be. This post collects some of these changes to help keep developers current. It covers changes to EC2, S3, networking, Lambda, EFS, EBS, DynamoDB, cost saving vehicles, authentication, and more.
Many people believe that Artificial General Intelligence (AGI), Artificial Super Intelligence (ASI), and fully general humanoid robotics are just around the corner. We are at the cusp of a revolution poised to increase GDP by many times over. While nearly everyone will benefit substantially from the widespread use of AGI, a tiny minority will increase their productivity by a factor of hundreds or thousands. This creates the potential for out-of-equilibrium economic shifts.
Referral traffic from ChatGPT to websites is down 52% since July 2021. Wikipedia, Reddit, and Tech Radar account for 22% of all citations. Branded websites are losing visibility and millions of potential referable clicks as ChatGPT now seems to favor a handful of 'answer-first' sources. Brands that don't provide real answers could be squeezed out of ChatGPT answers.
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One of the primary issues with the GitHub code review process is poor support for stacked pull requests and interdiff reviews.
The convenience of open source software comes with the hidden cost of supply chain security risks.
Allowing other businesses to tap into its data centers and physical infrastructure could potentially create a new revenue line that could offset some of OpenAI's immense costs.
try allows users to instantly navigate through all of their experiment directories with fuzzy search, smart sorting, and auto-dating without any configuration or dependencies.
Issues are often solved to a point where the missing functionality is implemented, and then the remaining work is split into smaller issues.
iPhone sub-assemblies are still mostly produced in China and then shipped to India for final assembly.
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Most AI projects fail not because of the algorithms, but because of engineering practices. carsales discovered this when building their AI Model Finder - a vehicle recommendation tool that suggests cars based on lifestyle needs and preferences.
Anthropic has expanded its enterprise offering with Claude Code, bundled under premium seats for business plans.
Google added real-time visual guidance to Gemini Live that highlights objects on-screen when using the camera along with deeper integration across the Google Suite. The update includes more expressive speech patterns that can adapt tone based on context and take direction on pace or accent, closing the gap between Google's voice capabilities and fast-growing voice AI startups.
Character.AI has been holding discussions with possible buyers, banks, and staff over the past few weeks about raising a few hundred million dollars at a valuation of more than $1 billion. The startup's founders left the company last September to join Google, leaving employees to take over ownership. If sold, the buyer would get Character.AI's app and website, which hosts chatbots that resemble anime characters, celebrities, and historical figures. Character.AI makes most of its revenue by charging for premium features with its chatbots. It expects to reach $50 million in annualized revenue by the end of the year.
AI labs will soon favor quality over quantity when procuring RL environments and spend a surprisingly large amount of money on procurement per RL task. Procuring RL tasks cheaply results in lower quality training runs, and the compute cost per RL run soon becomes very high. AI labs will increasingly move away from training on procedurally generated RL tasks and tasks produced cheaply by massive numbers of low-paid contractors toward a more labor-intensive build process that relies on full-time domain experts who spend months developing sustained context and crafting individualized tasks. The winners will be those who deliver the highest-quality, context-rich tasks, ship them rapidly, and price them efficiently given compute tasks.
Data center construction contributed as much to GDP growth as consumer spending in the first half of 2025, a historic shift given that consumer spending typically represents 70% of economic activity. AI infrastructure spending masked what would have been a -1.5% GDP contraction in Q1. AI-sensitive sectors have driven 53% investment growth since 2019 compared to flat performance elsewhere.
UserJot's founder argues for a strict two-tier architecture with stateless subagents that act as pure functions: no memory, no conversation history, just task-in-result-out. MapReduce patterns handle large-scale work through parallel execution, which keeps individual agent tasks under 30 seconds and prevents the debugging nightmares that plague complex hierarchies and shared state systems.
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Most systems rely on external documentation or pre-configured knowledge to instruct AI agents when they hit protected pages, but it would be simpler to have the instructions right there in the HTML response. llms.txt is an emerging standard for making content such as docs available for direct consumption by agents. This post proposes a convention to include such content directly in HTML responses. It is designed to fit right in with llms.txt, which has found adoption for publishing LLM-targeted content in a discoverable fashion on the web.
HealthChain connects AI models to any healthcare system with just a few lines of Python. It makes integrating AI with electronic health records automatic, fast, and easy. The HealthChain API provides a secure integration layer that coordinates multiple healthcare systems in a single application. Developers can use it to build pipelines for NLP and ML tasks that easily integrate with complex healthcare systems.
ByteDance's Seed Team of AI researchers today released Seed-OSS-36B on Hugging Face. Seed-OSS-36B is a new line of open source, large language models designed for advanced reasoning with both synthetic- and non-synthetic-data variants and an instruct model. The synthetic-data variant is intended as a higher-performing general-purpose option, while the non-synthetic model avoids potential bias or distortion introduced by synthetic instruction data. The instruct model is post-trained with instruction data to prioritize task execution and instruction following. The models were released under the Apache-2.0 license, which allows free use, modification, and redistribution by researchers and developers working for enterprises.
Google Photos will soon support natural language photo editing, starting with Pixel 10 users in the US. Users can describe edits via voice or text, and see AI-powered changes applied automatically.
Hugging Face now enables users to generate images with Claude by integrating with Spaces and recently released models. This guide explains how to set up the workflow and highlights models tuned for natural scenes and text-rich visuals.
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xAI made Grok conversations searchable on Google without user warnings when people clicked share.
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Pacaso [4] has built a tech platform that simplifies co-ownership of vacation homes — a market worth $1.3 _trillion_.