8 min read
Mastra: Review and Setup Guide for TypeScript Agent Apps (2026)
Mastra review and setup for TypeScript AI agents - verified create commands, Mastra Studio, workflows and memory, plus pricing and who should skip it.
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LLM
26 articles - page 2 of 3
8 min read
OpenRouter in 2026: Review, Setup, and When Model Routing Pays
OpenRouter review and setup - one API key for 300+ models with fallbacks and provider routing, what it costs, and when to go direct to a provider instead.
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10 min read
LLM Routers Compared: LiteLLM vs Portkey vs OpenRouter in 2026
LiteLLM vs Portkey vs OpenRouter compared for production AI apps: cost tracking, fallbacks, caching, and load balancing, plus when to use each router.
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11 min read
KV Caching: A Practical Guide to Optimizing Transformer Inference
How KV caching speeds up LLM inference - the math, the code, the memory tradeoffs, and when it stops helping. Every dev running local models hits this wall.
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10 min read
Mercury 2 Developer Guide: Building With a Diffusion LLM in Production
Mercury 2 developer guide: the OpenAI-compatible API, tool use, structured outputs, reasoning levels, and when a diffusion LLM beats an autoregressive one.
7 min read
Promptlock: Deterministic Prompt Versioning for LLM Apps
Promptlock gives every prompt a 12-char content-addressable id and a diff-able artifact, turning silent prompt drift into a reviewable change.
8 min read
Mercury 2: The LLM That Doesn't Generate Like an LLM
Mercury 2 from Inception Labs is a diffusion reasoning LLM that refines outputs in parallel at over 1,000 tokens per second. How it works and where it fits.
8 min read
Claude Skills: A technical deep dive into Anthropic's new approach to AI context management
Claude Skills load instructions, scripts and resources progressively so context stays small. A technical deep dive into SKILL.md, the API and Claude Code use.
7 min read
GPT-5: OpenAI's Most Capable Model
GPT-5 routes each query by complexity instead of making developers pick a reasoning mode. Its benchmarks, front-end coding gains and four API models explained.
7 min read
Diffusion Language Models: How Mercury Changed the LLM Speed Game
Diffusion language models like Inception Labs' Mercury draft a whole response and refine it instead of going token by token. See why that makes them so fast.
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10 min read
Unstract: Open-Source AI Document Parsing at Scale
Unstract is an open-source, no-code platform that uses LLMs to extract structured JSON from PDFs, invoices and scans. How Prompt Studio and self-hosting work.
9 min read
Microsoft PHI-4: A 14B Parameter Model That Rivals Models 5x Its Size
Microsoft PHI-4 is an MIT-licensed 14B model that matches Llama 3.3 70B on key benchmarks. See its specs, how to run it locally with Ollama, and when to use it.
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Showing 13-24 of 25 articles
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