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Data Normalization Across Dublin Rental Portals: How to Make Listings Comparable Dublin rental listings are fragmented even across the main portals. Daft.ie and Rent.ie use different structures, labels, price conventions, and quirks, which makes direct comparison harder than it should be. When I bui
If you run a freelance dev business or a small agency, you already know the silent margin-killer: Scope Creep. You sign a 30-page Statement of Work (SOW), start sprinting on the code, and three weeks later the client points to a vaguely worded bullet point from page 14 that suddenly means you owe th
Your AI agent has tool access. What it’s missing is the knowledge that makes those tools useful You’ve probably connected The post Why AI agents need a Context Lake appeared first on The New Stack.
The debate is loud. The takes are bad. Here’s the balanced version. - The coding world is split right now. Camp A: “Vibe coding isn’t real programming.” Camp B: “Syntax is dead. Just prompt it.” Both camps think they’re protecting the future of software. Both camps are partially right. Both camps ar
aside_block ), ('btn_text', ''), ('href', ''), ('image', None)])]> AI-powered cyber threats have been receiving a lot of attention lately. AI has changed the threat landscape; cybercriminals are using it to find security cracks faster than cybersecurity teams can manually fix them. Attacks that used
We built AgentForge to solve our own problem. Here's what 6 months of production multi-agent deployment taught us. Everyone designs for the happy path. But in multi-agent systems, the failure modes multiply: Agent A succeeds but takes 30s → Agent B times out waiting Agent A returns malformed JSON →
Quantum computing and artificial intelligence are often discussed as two separate frontiers. One is about exploiting quantum mechanics for computation; the other is about building increasingly capable learning systems and agents. The core argument behind TensorCircuit-NG is that this separation is b
Originally published on andrew.ooo — visit the original for any updates, code snippets that aged out, or follow-up posts. OpenBrief is an open-source desktop app that does what most people actually want from a "video AI tool": paste a link, get a transcript, get a grounded summary, and chat with the
Why I Built This DeepSeek's API costs ¥1 per million tokens. GPT-4o costs ¥70. That's a 70x difference. But not everyone wants to deal with API key management, billing, and deployment. So I built a one-command gateway. OpenAI-compatible endpoint — drop-in replacement for any OpenAI SDK Routes to Dee
Most modern social platforms are designed around one thing: engagement. The longer users stay online, the better the metrics look. More scrolling means more impressions, more activity, more notifications, and more data. From a product perspective, it makes sense. But I think many platforms accidenta
The "Vibe Coding" Epidemic I am graduating with a computer science degree next year. Let me tell you a secret. (Quick note: If you prefer watching a video over reading, here is an excellent breakdown of this exact shift: I have watched the entire field of software engineering mutate right in front o
I was scrolling through my feed recently when I saw something that felt like a glitch in the simulation. A developer had built a terminal emulator called "Ratty" a GPU-accelerated, 3D environment where the cursor is a spinning 3D rat and you can literally tilt your entire workspace in 3D space like
Every web developer hits URL encoding bugs eventually. A redirect loop that only happens with certain usernames. A search feature that breaks when someone types C++. An API that returns garbage when the query contains emoji. These bugs are annoying because they fail silently — the URL looks fine in
This article was originally published on avinashsangle.com. Claude Managed Agents Outcomes is a public-beta feature, launched on May 6, 2026, that lets you hand the agent a rubric and have a separate grader model check every draft against it. If the grader returns needs_revision, the gaps flow back
Honestly, when I first saw the numbers I didn't believe them. DeepSeek V4 Flash at $0.25/M output vs GPT-4o at $10.00/M? That's not a pricing difference — that's a different universe. So I checked. And re-checked. And tested. And the numbers hold up. Model Output $/M vs DeepSeek V4 Flash GPT-4o $10.
I've been building AI infrastructure for a few years now. Here's something I learned the hard way: your choice of model provider matters way more than your choice of architecture. The data I've collected: Model Country Input Output Annual @ 50M tok/day GPT-4o US $2.50 $10.00 $182,500 Claude 3.5 US $
Look, I didn't plan this. I was building a side project — an AI writing assistant for my blog — and my OpenAI bill was $300/month before I even launched. For a side project with zero users. That's insane. So I got curious. What else is out there? And honestly? The answer surprised me. Chinese AI mod
Key Takeaways Storing vectors in an Oracle VECTOR column alongside content, metadata, and provenance means retrieval happens inside the database. Existing governance — row-level security, auditing, data masking — applies to vector queries the same way it applies to any other query. Hybrid retrieval
We spent years getting TypeScript to where it is. It already checks your APIs, your components, your state. Your CSS values are still strings that nothing compiles. Why wait for a new tool when the one you have can do this today? A 2025 academic study [1] found that 94% of LLM-generated compilation
A chatbot demo is easy. A production-grade chatbot that survives real enterprise traffic, inconsistent user behavior, fragmented APIs, and operational pressure is a completely different challenge. That difference becomes obvious the moment a conversational system moves beyond a controlled environmen
