Comparisons.
Straight answers to the build-vs-buy and architecture decisions teams face before committing engineering time.
LangGraph vs CrewAI vs AutoGen vs OpenAI Agents SDK
Which agent framework fits production, prototyping, or a single-provider chat app — and why AutoGen is now maintenance-mode legacy.
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Self-Hosted vs Managed Agent Platform
What self-hosting an agent framework actually costs in engineering time, and what a managed platform buys you instead.
MCP vs A2A
Two protocols that solve different problems — agent-to-tool vs agent-to-agent — and why most teams asking "which one" need both.
Compaction vs. Tool-Result Clearing vs. Persistent Memory
Three context-management primitives, three different bottlenecks — which one your agent actually needs depends on whether dialogue, tool results, or cross-session knowledge is filling the window.
Claude Agent SDK vs Codex vs Cursor vs Aider
Four different agent harnesses solving four different problems — building on Anthropic's own runtime, one shared core across every OpenAI surface, per-model IDE tuning, or a lightweight git-native terminal loop.
Best AI Coding Model for Agents: DeepSeek V4 Flash vs GPT-5.4 vs Gemini 3.1 Pro vs Claude Opus 4.6
Compare coding-agent models across benchmarks, pricing, harness behavior, self-hosting, and enterprise deployment fit.
Open-Weight vs Proprietary Models for Agentic Coding
A buyer guide for self-hosted coding agents, private AI, frontier APIs, model procurement, and production tradeoffs.
Jev vs. LLM Structured Output
TypeSafe's purpose-built decision model against structured output, function calling, and trained classifiers on an LLM you already have — what each actually buys you.
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