Articles, one at a time.
Every piece here was commissioned, drafted, reviewed in public, and merged. No content mills, no auto-published slop.
Snyk + Claude: AI Security for AI-Generated Code in 2026
Snyk embeds Claude to scan AI-generated code for vulnerabilities. Guide to MCP setup, Snyk Studio guardrails, and Evo agent red-teaming.
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ZAYA1-8B: Zyphra's Efficient MoE Reasoning Model Guide
ZAYA1-8B packs 760M active parameters into an 8.4B MoE that beats DeepSeek-R1 on AIME 2025. Here is what developers need to know.
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DRA-GRPO: Fixing Diversity Collapse in Reasoning Models
How DRA-GRPO uses Submodular Mutual Information to fix GRPO's diversity collapse problem—with a minimal Python PoC and benchmark results from arXiv 2505.09655.
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Google AI Studio Antigravity: Full-Stack Apps in One Prompt
Google's Antigravity agent builds full-stack apps from a prompt — auto-provisioning Firestore, Auth, and Firebase Hosting. Here's what developers need to know.
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Temporal for AI Agents: Durable Execution Guide 2026
Learn how Temporal adds crash-proof durable execution to AI agents. Python SDK quickstart, human-in-the-loop patterns, and 2026 feature roundup.
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Adaptive KV-Cache Quantization: How 'Don't Waste Bits' Cuts On-Device LLM Latency by 17%
The 'Don't Waste Bits' paper (arxiv 2604.04722) shows adaptive per-token KV precision beats static quantization by 17.75% latency and 7.6 accuracy points. Here's how it works.
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DeepSeek-V3-0324: Open-Source Coding Model Developer Guide
Complete developer guide to DeepSeek-V3-0324: architecture, API integration, function calling, benchmarks, and self-hosting on Ollama or vLLM.
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Gemma 4 MTP Drafters: How Multi-Token Prediction Delivers 2x+ Faster Local Inference
Google's Gemma 4 MTP drafters (released May 2026) deliver 1.7x–2.2x inference speedup on typical developer hardware without changing output quality. Here's how to use them.
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Mastra AI 1.0: The TypeScript Agent Framework Developers Are Actually Shipping
Mastra 1.0 is the TypeScript framework for production AI agents — agents, memory, workflows, RAG, and evals in one package. Here's how it works.
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Qwen 3.6 Plus: 1M Context Coding Agent Developer Guide
Qwen 3.6 Plus: 1M context, always-on CoT, Terminal-Bench 2.0 #1 at 61.6%. API setup, DashScope pricing, preserve_thinking, and vLLM self-hosting guide.
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SpecKV: Adaptive Speculative Decoding with Dynamic Gamma
SpecKV (arXiv:2605.02888) shows fixed γ=4 costs 56% throughput. Adaptive gamma, KV cache compression effects, and vLLM production tuning guide.
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Agent Test-Time Scaling Has a Ceiling: CMU Research 2026
CMU's General AgentBench finds giving agents more turns often hurts. Learn why context ceiling and verification gap limit test-time scaling for LLM agents.
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