Also from Tyler's team
Spreadsheets That Don't Suck
BoredTools builds practical templates for budgeting, freelancing, and productivity. Simple, useful, no subscription required.
Agent Reliability Scores Are Getting Worse, Not Better
SWE-Bench scores tick up every quarter, but production failure rates aren't dropping. A METR study found half of test-passing PRs wouldn't be merged. The more capable we make agents, the less reliably they behave.
Best Open-Weight Models for Production AI Agents 2026
Your agent framework doesn't matter if the model underneath it can't call tools reliably. We tested and ranked eight open-weight models specifically for agent use cases: tool calling accuracy, multi-step reasoning, context retention, hosting economics, and licensing terms.
Single Agent vs Multi-Agent: When Swarms Actually Help
Compare single-agent and multi-agent architectures on complexity, cost, debugging, and when orchestration helps.
EU AI Act vs US vs UK: Global AI Regulation Compared
Compare EU AI Act, US, and UK AI regulation on compliance, penalties, timelines, and impact on developers.
RAG vs Long Context vs Fine-Tuning: What Actually Works
Compare RAG, long-context windows, and fine-tuning on accuracy, cost, latency, and production readiness.
Llama 4 vs Qwen 3 vs DeepSeek V4: Open-Weight Models 2026
Compare Llama 4, Qwen 3, and DeepSeek V4 open-weight models on benchmarks, context windows, licensing, and deployment.
MCP vs A2A vs ACP: Agent Protocol Comparison 2026
Compare Model Context Protocol, Agent-to-Agent Protocol, and Agent Communication Protocol on transport, authentication, tool discovery, and real-world adoption.
AI Orchestration Patterns in 2026: What Survives Production
The three orchestration patterns proven in production: sequential pipelines, parallel fan-out, and evaluator-optimizer loops. Trade-offs and kill-switch design.
OpenAI Agents SDK in Production: Traces, Tooling, and Hand-offs That Don’t Break
Build reliable agent workflows with OpenAI Agents SDK: traces, tool-call guardrails, handoffs, retries, and deployment checks.
MoE vs Dense Models: A Practitioner's Decision Guide for 2026
Mixture of Experts models are cheaper per token. That's the headline every vendor leads with. But 'cheaper per token' and 'better for your workload' aren't the same thing.