#AI Engineering
AIKimi K3 Context Window Explained: What Can It Actually Handle?
Kimi K3 supports up to 1M tokens of context on eligible plans. Here is what that limit means for codebases, documents, API requests, K3-256K, and Kimi Code.
AIKimi K3 API: How to Get Started and Use It in Your Apps
Learn how to set up the Kimi K3 API, create an API key, choose the right endpoint, send a first request, and avoid common authentication and model errors.
AIDeepSeek Harness Is More Than a Coding Agent: Everything Is a Plugin
DeepSeek Harness is an open-source agent runtime where models, tools, sessions, sandboxes, storage, and UI can all be swapped as plugins for developers.
AIOpenAI's Data Agent Turns Questions Into Power BI and Tableau Dashboards
OpenAI's new Data agent in ChatGPT Work can analyze connected company data and build dashboards in Power BI, Tableau, and other BI tools.
AIDeepSeek V4.1 Flash Launches With Native Vision and Lower AI Inference Costs
DeepSeek V4.1 Flash brings native visual understanding, a 552B MoE architecture, lower cache overhead, and new API pricing.
AIWhat Is Loop Engineering - and Why It Replaced Prompt Engineering in 2026
Loop engineering is how developers design AI agents that run without supervision. It's the skill that replaced prompt engineering as the real bottleneck in 2026.
AIMicrosoft Frontier Is a $2.5 Billion Bet on Enterprise AI Deployment With 6,000 Engineers
Microsoft launched Frontier Company today - 6,000 engineers and $2.5 billion focused on getting enterprise AI past the proof-of-concept stage.
AIAWS Launches $1 Billion Forward-Deployed Engineers Unit to Embed With Customers
AWS committed $1 billion on June 30 to a new forward-deployed engineering unit that sends engineers to embed inside customer organizations for 45-day periods.
AIMicrosoft Foundry Build 2026: Hosted Agents, Procedural Memory, and 11,000 Models
Microsoft Foundry shipped hosted agents, procedural memory with 7-14% task gains, Foundry IQ for enterprise knowledge, and four new MAI models at Build 2026.
AIRetrieval-Augmented Generation: What RAG Is and Why 51% of Enterprise AI Uses It
Retrieval-augmented generation grounds LLM outputs in real documents. Here is how the RAG pipeline works and why 51% of enterprise AI now runs on it.