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Amazon S3 now lets you attach up to 1 GB of rich, mutable, and queryable context directly to your objects using annotations, purpose-built for AI agents and autonomous workflows that need to discover, understand, and act on data at scale without maintaining separate metadata systems.
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Qtractor is a lightweight Linux DAW (Digital Audio Workstation) for audio and MIDI recording. This bible series is organized in a workflow-oriented reference fasion that progresses from session creation → recording → editing → mixing → export → advanced techniques. Contents are organized in consistent chapter sizes fasion, so: Each installment is about 5,000--8,000 words. Each installment should be self-contained. Each installment should end at a natural workflow boundary. No installmen
A hands-on tutorial you can run for free in Google Colab. Run it yourself: open foundation_instruct_chat_tutorial.ipynb in Google Colab and run every cell top to bottom. It uses the SmolLM2-135M family — small enough for a free CPU runtime, no GPU needed. People say "LLM," "GPT," "an AI model," and "ChatGPT" as if they were the same thing. They aren't. There's a ladder of training stages between "a model that read the internet" and "an assistant you can chat with," and the words foundation, inst
The problem Every year in Japan, a small group of volunteers runs the local 自治会 (neighborhood association). They circulate bulletins, collect dues, check in on elderly residents, run votes at general meetings, and maintain the annual schedule. At year's end, they hand the role over — usually with a folder of paper, or nothing at all. Nobody tracks who did what. Nobody measures the actual workload. So when it's time to recruit the next round of officers, no one can honestly answer "how much wor
Product launch telemetry is the bridge between shipping a feature and proving that the feature created growth. AIKit can turn every release into an agent-readable loop by publishing the launch page, instrumenting CTA events, summarizing customer signals, and feeding the next experiment back into the roadmap. Most product launches create a burst of activity and then lose the evidence. A team ships a feature, posts an announcement, watches a few dashboard numbers, and moves on. Two weeks later nob
By Banu Parasuraman Distinguished Engineer | Account CTO | Mphasis "The mainframe isn't going away. But the teams who understand it are. The window to modernize safely — before institutional knowledge walks out the door — is closing." Mainframe modernization is one of the most consequential — and most feared — programs in enterprise IT. Billions of dollars of financial transactions flow daily through COBOL batch jobs that have been running, largely unchanged, for three to four decades. The fear
I'm building CortexDB — an agent-native context database for AI agents Most modern RAG systems work like this: Split documents into chunks Generate embeddings Store them in a vector database Retrieve top-k similar chunks on query Send them to an LLM It works for simple use cases. But as AI agents become more autonomous and complex, a clear problem appears: Agents don’t just need similar text chunks. They need bounded, permission-safe, evidence-aware, and verifiable context. This is why I
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