All insights related to AI, Data, and Analytics. Including Data managment, Data Governance and operating models.
In my recent post on Graphify, I focused on how persistent knowledge graphs help seasoned developers and AI coding assistants get a reliable hold of large codebases. Graphify shines there: structural + semantic maps, queryable context, and far fewer tokens spent reconstructing architecture from scratch. However, one realization quickly followed: that depth is good for…
Have you noticed that every time you open a new session and ask a question, the assistant starts reading file after file, reconstructing the architecture from scratch? Clear the session, ask the same question, and it does the same thing all over again. This is a waste of resources (energy, tokens, time) because the assistant…
If you are using Claude Code or building AI agents to read your git repositories and files, you are likely burning through context tokens at an alarming rate. I initially tried to solve this by choosing between different optimization tools. But you do not have to choose. The better approach is to stack them into…
Anthropic’s Claude Certified Architect exam needs hands-on experience. Here’s why.
Anthropic engineers today ship 8x the code per quarter they did in 2024. More than 80% of code merged into their production codebase is now authored by Claude. This is May 2026. Early data from the field, according to a new McKinsey report on agentic delivery models confirms this—leading organizations are already realizing 3x to…
If you’ve built with LLMs or vibecoded, you’ve likely seen it: the agent crushes a task in one session, only to waste the next one relearning basic context about your codebase, preferences, or past decisions. LLMs are stateless by design. So, the challenge is how we architect memory as a true governance and learning system,…
Get visibility into where you are burning tokens. An open-source repo solves it for you. No API keys needed.
A relational knowledge graph changes the fundamental ROI of your intellectual capital. It turns static information (e.g., PDFs, docs, posts) into a navigable system of enterprise thinking.
🚨The 2026 AI Index: High Adoption, Low Maturity, and the 20% Employment Gap The AI Index Report 2026 from Stanford Institute for Human-Centered Artificial Intelligence (HAI) confirms what many of us have been sensing: The systems around AI are failing to keep pace with the technology itself. We have reached 88% organizational adoption, yet the…
🔒 Your key is stored only in your browser's localStorage and is sent directly from your browser to OpenAI/Gemini — never to this site's server.
