Editorial Search Archive

Google's Gemini 3.8 Flash Cyber scored 863 points on Hacker News with its cyber-security-first architecture. Build a LangGraph workflow that autonomously scans codebases, enriches CVE data, and generates verified patches.

Meta's Muse Spark 1.3 hit 429 HN points with real-time text-to-image at 512x512 in 0.8 seconds. Build a LangGraph workflow for prompt engineering, iterative refinement, and production visual asset validation.

OpenAI launches GPT-5.6 Sol API with sub-100ms time-to-first-token latency and 180 tok/s throughput at $2.50 per million input tokens. The fastest inference launch in OpenAI's history positions Sol as the premium choice for real-time agent applications requiring instant responses.

Evaluating AI agents is fundamentally different from evaluating LLMs. Agents make tool calls, follow multi-step plans, use external data, and produce outputs that are hard to score with static benchmarks. This guide covers production-grade eval harnesses for task completion, tool accuracy, latency, cost, and regression detection.

The Model Context Protocol registry surpassed 10,000 registered MCP servers in September 2026, marking a pivotal milestone for the AI agent ecosystem. From 2,000 servers in January to 10,000 in September, MCP has become the standard protocol for AI agent tool integration.

RAG, fine-tuning, and agentic retrieval are the three main approaches to injecting knowledge into LLMs. This comprehensive comparison covers accuracy, latency, cost, and maintenance trade-offs with a decision framework for enterprise use cases in 2026.

Meta releases Llama 4.5 with 405 billion parameters, 410 tok/s throughput, 128K context window, and Apache 2.0 license. At $0.15 per million tokens on API providers, Llama 4.5 reshapes the economics of open-weight AI for enterprise deployments.

Agents need safe, structured access to production databases. This FastMCP server exposes PostgreSQL schema intelligence to any MCP client: schema exploration, natural language SQL generation with read-only enforcement, query execution with row limits, and EXPLAIN-based query analysis. Achieves 94 percent SQL correctness on enterprise schemas.

Supabase is the leading open-source Firebase alternative powering over 300,000 applications. This FastMCP server gives AI agents direct Supabase access — querying with Row Level Security, managing storage buckets, invoking Edge Functions, and subscribing to real-time changes — enabling agents to build and manage SaaS backends autonomously.

Speculative decoding has matured from research paper to production standard in 2026. Medusa heads, Eagle draft models, and self-speculation techniques cut inference latency by 2.5x without quality loss. Deep dive into architecture, benchmarks, and deployment trade-offs.

Agentic web research is replacing manual search-and-copy workflows in enterprises. This workflow builds a production pipeline using Firecrawl for reliable web scraping, LangGraph for multi-stage orchestration, and structured synthesis with source verification. Results: 71 percent faster research cycles with citation-verified outputs.

Most agent architectures are request-response and synchronous. This workflow builds a streaming agent architecture using WebSockets for real-time client push and Kafka for event-driven agent-to-agent communication. Achieves sub-100ms end-to-end latency for real-time agent applications.