Your research partner for rigorous science Discussion | Link

The Quest Begins (The "Why") Honestly, I was tired of playing “guess the state” every time I spun up a new environment. One day I clicked “Apply” in the AWS console, watched a handful of EC2 instances, S3 buckets, and IAM roles appear, and then realized I had no idea how to recreate that exact setup six months later when the team needed a staging copy. It felt like trying to rebuild the Death Star from memory after a single glance at the blueprints—frustrating, error‑prone, and definitely not the heroic saga I signed up for. That moment was my “aha!”: I needed a repeatable, version‑controlled way to describe infrastructure. Enter Infrastructure as Code (IaC). I’d heard the buzz, but the real question was which tool to wield—Terraform or CloudFormation? Both promised declarative provisioning, but they spoke different dialects. I decided to embark on a quest to learn both, slay the configuration drift dragon, and come out with a reusable spellbook I could share with anyone on the team. The Revelation (The Insight) The breakthrough came when I stopped thinking of IaC as “just another config file” and started seeing it as a storytelling language . Every resource block is a character, every variable a plot twist, and the state file the ever‑growing script that remembers what happened in previous chapters. When I wrote my first Terraform module, it felt like Neo realizing he could bend the spoon—suddenly the impossible became trivial. I could define a VPC, subnets, security groups, and an RDS instance in a few dozen lines, run terraform init , terraform plan , and watch the plan show exactly what would change before any resources touched the cloud. No more surprise “you created a public‑facing DB!” moments. CloudFormation, on the other hand, felt like the loyal sidekick that already lives in the AWS universe. Its JSON/YAML templates are native to AWS, so there’s no extra provider to install, and drift detection is built‑in. The trade‑off? A bit more verbosity and a steepe

IO Interactive, the studio behind the Hitman series and 007 First Light, announced that it is laying off staff after a relationship with an "external partner" on its next big franchise, Project Fantasy, "has come to an end." IO has described Project Fantasy as an "online fantasy RPG", and Kotaku reports that Microsoft, which is […]

My learning so far I absolutely love learning to code. I gave it up to vibe code earlier last year and completely regret it. At first it felt like I was moving faster, but over time I realized I was skipping the part that actually made me better. My learning journey is fueled by passion and the hopes to move into a Go/SWE/Cloud type role. I do not know exactly how I will go about doing so, but I will work until I am noticed. Right now I am trying to focus on building real understanding. Not just getting something to work, but knowing why it works. I want to be able to read errors, debug my own code, understand the tools I am using, and slowly become the kind of developer that can solve problems without panicking. Learn to code! If anyone has any doubts on if coding is "worth it" still, I can account for how personally fulfilling it is. Solving a bug/problem in your own code gives me a personal high. There is something different about struggling with something, walking away, coming back, and finally seeing it click. It reminds you that you are actually learning. Every small fix feels like proof that you are getting better. I am not against using tools or AI. I still think they can be helpful. But I do think there is a big difference between using them to learn and using them to avoid learning. I had to learn that the hard way. So if you are new, or if you stopped for a while like I did, I really think you should keep going. Build small things. Break stuff. Fix it. Read docs even when they are boring. Ask questions. Take notes. Let yourself be bad at it for a while. I do not know where this journey will take me yet, but I know I want to keep showing up.

Nvidia AI chip competitor Etched says it has already booked $1 billion under contract for the inference systems powered by its chip.

I got tired of manually writing MCP tools for every REST endpoint I wanted to expose to an LLM. So I automated it. mcpgen reads an OpenAPI JSON or YAML file and generates a complete, ready‑to‑run MCP server in Python. 🔧 What it does Parses OpenAPI 3.0 / 3.1 specs Creates one MCP tool per endpoint (with snake_case names) Handles auth automatically (API key, Bearer, etc.) Outputs a clean, human‑readable Python script Zero runtime surprises – just mcp and httpx 🚀 Quick start bash pip install mcpgen mcpgen my-api.json -o my-mcp-server python my-mcp-server/server.py The generated server runs over stdio – ready to plug into Claude Desktop or any MCP client. 🧪 Real‑world test Recently a contributor added an OpenAPI 3.1 fixture (Xquik API) with lookupTweet and getUser endpoints. The tool generated the correct tools, including path parameters and x-api-key auth, on the first try. All 18 tests pass. It works. 🤔 Why you might want it If you’re building LLM agents that need to interact with APIs, mcpgen eliminates the boilerplate. You don’t have to write a single @app.tool() decorator by hand. It also makes it dead simple to experiment – change your API spec, regenerate the server, and you’re done. 📦 Links GitHub: JnanaSrota/mcpgen PyPI: pip install mcpgen MIT licensed, open to contributions 🙏 Feedback If you try it with your own API spec and something breaks (or works beautifully), I’d love to hear about it. Drop a comment or open an issue. Thanks for reading!

Anthropic’s Claude Sonnet 5 brings stronger agentic capabilities, lower pricing, and improved safety, positioning the model as a cheaper alternative to Opus, GPT-5.5, and Gemini Pro.

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Artificial Intelligence is rapidly evolving from chatbots to autonomous agents capable of...

Acti is betting the smartphone keyboard is the next home for AI assistants. The startup's new keyboard for iOS and Android works across apps and lets users create custom AI-powered shortcuts using natural language.

A WordPress form builder for real workflows Discussion | Link

Announced at CES 2026, the Moto Tag 2 has finally arrived in the US. The Bluetooth tracker with improved battery life over its predecessor, plus UWB sensing for more accurate tracking, is available through Motorola’s site at a special $19.99 launch price (originally $29.99). There are plenty of trackers for Android owners to consider, but […]

AI notebook platform for modern data science Discussion | Link

Listen to the session or watch below Billions of dollars are flooding into efforts to reverse aging as scientists explore ways to return cells to a younger state. But how far off are these experimental treatments? Will they really work? Watch a conversation exploring longevity’s new focus. Speakers: Mary Beth Griggs, science editor and Jessica…