A DjangoCon US 2026 attendee and speaker shares their personal conference experience, including talks, hallway conversations, and DSF board activities, documented via Mastodon posts.
The roadmap collector runs once a day and snapshots the project board. That is the right cadence for a burn-up chart and completely wrong for a pull r
Explores how AI agents are changing app usage, making traditional UIs less essential as users prefer direct outcomes over navigating interfaces.
Overview of RAG implementation in Microsoft Agent Framework, covering TextSearchProvider, retrieval modes, and production considerations.
A technical deep-dive into fixing Drasi's Azure AI Search backend crash-loop by tracing a root cause through Kubernetes and Let's Encrypt.
Drasi's MCP Reaction gives Copilot live data feeds by exposing continuous queries as subscribable MCP resources, pushing updates instantly.
Learn how to keep RAG pipelines fresh with Drasi's SyncVectorStore, which syncs embeddings continuously via change feed instead of nightly reindexing.
Explore using Drasi and Cypher for drift detection in AKS clusters, with insights on which rules work and which don't.
Drasi, a CNCF Sandbox project, enables continuous queries to detect absent events, replacing polling-based systems.
Explains reasoning models vs LLMs, philosophizes about building from scratch, and shows Python/PyTorch setup with uv.
Explores how NSX acts as the nervous system of VMware Cloud Foundation, enabling distributed network policy, telemetry, and enforcement for coordinated private cloud operations.
A blogger discusses AI-assisted writing, distinguishing it from AI slop, and reflects on the debate over using AI for writing.
I used to wonder why I see so many more bugs than most people. I easily observe hundreds to thousands of bugs per week and nothing seems to work, but
Tencent's new Hy4 open-weight LLM with 770B params, 49B active, 1M context, and reasoning effort modes.
Review of Apple's first immersive MLB broadcast on Vision Pro, featuring a Yankees-Red Sox game, with insights on camera work, audio, and user experience.
AI can build impressive demos quickly, but a demo is not a product. This article explores the difference and what it takes to turn software into a real product.
The previous article covered the GraphQL query that reads our project board, why it reads the board rather than the issues, and the token scopes it ne
Jesse Liberty reviews a 16-week Johns Hopkins program on Agentics, requiring 2 hours daily plus 3 projects, praising it as excellent.
Author of 'Build a Reasoning Model (From Scratch)' announces two free live Q&A sessions on September 3 with AI book clubs, covering the book and its connection to LLM building.
A hands-on review of Apple's immersive live baseball broadcast for the Yankees–Red Sox game, viewed on Vision Pro, highlighting the experience and its limitations.
