<?xml version="1.0" encoding="UTF-8"?><urlset xmlns="http://www.sitemaps.org/schemas/sitemap/0.9" xmlns:news="http://www.google.com/schemas/sitemap-news/0.9"><url><loc>https://dreaming.press/posts/skyvern-vs-browser-use.html</loc><news:news><news:publication><news:name>dreaming.press</news:name><news:language>en</news:language></news:publication><news:publication_date>2026-06-30</news:publication_date><news:title>Skyvern vs Browser Use: You're Not Picking a Browser Agent, You're Picking How It Sees the Page</news:title></news:news></url><url><loc>https://dreaming.press/posts/how-to-write-a-system-prompt-for-an-ai-agent.html</loc><news:news><news:publication><news:name>dreaming.press</news:name><news:language>en</news:language></news:publication><news:publication_date>2026-06-30</news:publication_date><news:title>How to Write a System Prompt for an AI Agent</news:title></news:news></url><url><loc>https://dreaming.press/posts/claude-agent-sdk-vs-openai-agents-sdk.html</loc><news:news><news:publication><news:name>dreaming.press</news:name><news:language>en</news:language></news:publication><news:publication_date>2026-06-30</news:publication_date><news:title>Claude Agent SDK vs OpenAI Agents SDK: A Harness vs an Orchestration Library</news:title></news:news></url><url><loc>https://dreaming.press/posts/bedrock-agentcore-vs-vertex-agent-engine-vs-foundry-hosted-agents.html</loc><news:news><news:publication><news:name>dreaming.press</news:name><news:language>en</news:language></news:publication><news:publication_date>2026-06-30</news:publication_date><news:title>Bedrock AgentCore vs Vertex Agent Engine vs Foundry Hosted Agents: The Managed Agent Runtime, Compared</news:title></news:news></url><url><loc>https://dreaming.press/posts/tool-response-design-for-ai-agents.html</loc><news:news><news:publication><news:name>dreaming.press</news:name><news:language>en</news:language></news:publication><news:publication_date>2026-06-29</news:publication_date><news:title>What Should an AI Agent's Tools Return? Designing Tool Results for the Context Window</news:title></news:news></url><url><loc>https://dreaming.press/posts/should-an-ai-agent-compact-its-own-context.html</loc><news:news><news:publication><news:name>dreaming.press</news:name><news:language>en</news:language></news:publication><news:publication_date>2026-06-29</news:publication_date><news:title>When Should an AI Agent Compact Its Own Context? The Case Against Fixed Thresholds</news:title></news:news></url><url><loc>https://dreaming.press/posts/resumable-llm-streaming.html</loc><news:news><news:publication><news:name>dreaming.press</news:name><news:language>en</news:language></news:publication><news:publication_date>2026-06-29</news:publication_date><news:title>Resumable LLM Streaming: How to Survive a Refresh Without Repaying for the Answer</news:title></news:news></url><url><loc>https://dreaming.press/posts/request-hedging-for-llm-tail-latency.html</loc><news:news><news:publication><news:name>dreaming.press</news:name><news:language>en</news:language></news:publication><news:publication_date>2026-06-29</news:publication_date><news:title>Request Hedging for LLM Tail Latency: Race the Slow Call, Don't Retry It</news:title></news:news></url><url><loc>https://dreaming.press/posts/raft-retrieval-augmented-fine-tuning.html</loc><news:news><news:publication><news:name>dreaming.press</news:name><news:language>en</news:language></news:publication><news:publication_date>2026-06-29</news:publication_date><news:title>RAFT vs RAG vs Fine-Tuning: When to Train on the Documents You Retrieve</news:title></news:news></url><url><loc>https://dreaming.press/posts/opentelemetry-genai-semantic-conventions.html</loc><news:news><news:publication><news:name>dreaming.press</news:name><news:language>en</news:language></news:publication><news:publication_date>2026-06-29</news:publication_date><news:title>OpenTelemetry GenAI Semantic Conventions: The Spec Your Observability Tool Depends On Is Still 'Development'</news:title></news:news></url><url><loc>https://dreaming.press/posts/mmr-vs-reranking-diverse-rag-retrieval.html</loc><news:news><news:publication><news:name>dreaming.press</news:name><news:language>en</news:language></news:publication><news:publication_date>2026-06-29</news:publication_date><news:title>MMR vs Reranking in RAG: Why Your Top-K Returns the Same Fact Five Times</news:title></news:news></url><url><loc>https://dreaming.press/posts/mixture-of-agents-vs-single-model.html</loc><news:news><news:publication><news:name>dreaming.press</news:name><news:language>en</news:language></news:publication><news:publication_date>2026-06-29</news:publication_date><news:title>Mixture of Agents vs a Single Model: Why Ensembling LLMs Usually Loses to Sampling One Good Model Twice</news:title></news:news></url><url><loc>https://dreaming.press/posts/mcp-tasks-long-running-async-work.html</loc><news:news><news:publication><news:name>dreaming.press</news:name><news:language>en</news:language></news:publication><news:publication_date>2026-06-29</news:publication_date><news:title>MCP Tasks: How Long-Running Agent Work Survives a Stateless Server</news:title></news:news></url><url><loc>https://dreaming.press/posts/mcp-extensions-explained.html</loc><news:news><news:publication><news:name>dreaming.press</news:name><news:language>en</news:language></news:publication><news:publication_date>2026-06-29</news:publication_date><news:title>MCP Extensions, Explained: How the 2026 Spec Grows Without Breaking the Core</news:title></news:news></url><url><loc>https://dreaming.press/posts/implicit-vs-explicit-prompt-caching.html</loc><news:news><news:publication><news:name>dreaming.press</news:name><news:language>en</news:language></news:publication><news:publication_date>2026-06-29</news:publication_date><news:title>Implicit vs Explicit Prompt Caching: When to Pay for a Cache You Control</news:title></news:news></url><url><loc>https://dreaming.press/posts/how-to-stream-structured-output-from-an-llm.html</loc><news:news><news:publication><news:name>dreaming.press</news:name><news:language>en</news:language></news:publication><news:publication_date>2026-06-29</news:publication_date><news:title>Streaming Structured Output From an LLM: How to Render JSON Before It's Done</news:title></news:news></url><url><loc>https://dreaming.press/posts/how-to-set-a-timeout-for-an-ai-agent.html</loc><news:news><news:publication><news:name>dreaming.press</news:name><news:language>en</news:language></news:publication><news:publication_date>2026-06-29</news:publication_date><news:title>How to Set a Timeout for an AI Agent: A Per-Call Timeout Won't Bound the Loop</news:title></news:news></url><url><loc>https://dreaming.press/posts/how-to-roll-back-an-ai-agents-actions.html</loc><news:news><news:publication><news:name>dreaming.press</news:name><news:language>en</news:language></news:publication><news:publication_date>2026-06-29</news:publication_date><news:title>How to Roll Back an AI Agent's Actions: The Saga Pattern for Tools That Can't Undo</news:title></news:news></url><url><loc>https://dreaming.press/posts/how-to-monitor-an-ai-agent-in-production.html</loc><news:news><news:publication><news:name>dreaming.press</news:name><news:language>en</news:language></news:publication><news:publication_date>2026-06-29</news:publication_date><news:title>How to Monitor an AI Agent in Production</news:title></news:news></url><url><loc>https://dreaming.press/posts/how-to-load-test-an-llm-app.html</loc><news:news><news:publication><news:name>dreaming.press</news:name><news:language>en</news:language></news:publication><news:publication_date>2026-06-29</news:publication_date><news:title>How to Load-Test an LLM App: You're Stress-Testing the Rate Limiter, Not the Model</news:title></news:news></url><url><loc>https://dreaming.press/posts/how-to-handle-tool-errors-in-an-ai-agent.html</loc><news:news><news:publication><news:name>dreaming.press</news:name><news:language>en</news:language></news:publication><news:publication_date>2026-06-29</news:publication_date><news:title>How to Handle Tool Errors in an AI Agent: Return the Failure, Don't Raise It</news:title></news:news></url><url><loc>https://dreaming.press/posts/how-to-evaluate-a-reranker.html</loc><news:news><news:publication><news:name>dreaming.press</news:name><news:language>en</news:language></news:publication><news:publication_date>2026-06-29</news:publication_date><news:title>How to Evaluate a Reranker for RAG: The Number That Caps It Isn't the Reranker's</news:title></news:news></url><url><loc>https://dreaming.press/posts/how-to-do-rag-over-tables.html</loc><news:news><news:publication><news:name>dreaming.press</news:name><news:language>en</news:language></news:publication><news:publication_date>2026-06-29</news:publication_date><news:title>How to Do RAG Over Tables: When to Embed Rows and When to Generate SQL</news:title></news:news></url><url><loc>https://dreaming.press/posts/how-to-deploy-an-ai-agent-to-production.html</loc><news:news><news:publication><news:name>dreaming.press</news:name><news:language>en</news:language></news:publication><news:publication_date>2026-06-29</news:publication_date><news:title>How to Deploy an AI Agent to Production</news:title></news:news></url><url><loc>https://dreaming.press/posts/gaia2-benchmark-asynchronous-agents.html</loc><news:news><news:publication><news:name>dreaming.press</news:name><news:language>en</news:language></news:publication><news:publication_date>2026-06-29</news:publication_date><news:title>GAIA2: The Agent Benchmark Where the Clock Never Stops</news:title></news:news></url><url><loc>https://dreaming.press/posts/does-agents-md-actually-help-coding-agents.html</loc><news:news><news:publication><news:name>dreaming.press</news:name><news:language>en</news:language></news:publication><news:publication_date>2026-06-29</news:publication_date><news:title>Does an AGENTS.md File Actually Make Your Coding Agent Better?</news:title></news:news></url><url><loc>https://dreaming.press/posts/disaggregated-llm-inference.html</loc><news:news><news:publication><news:name>dreaming.press</news:name><news:language>en</news:language></news:publication><news:publication_date>2026-06-29</news:publication_date><news:title>Disaggregated LLM Inference: Why Prefill and Decode Are Moving to Separate GPUs</news:title></news:news></url><url><loc>https://dreaming.press/posts/cost-aware-agent-evaluation.html</loc><news:news><news:publication><news:name>dreaming.press</news:name><news:language>en</news:language></news:publication><news:publication_date>2026-06-29</news:publication_date><news:title>Cost-Aware Agent Evaluation: Why Your Benchmark Needs a Dollar Axis</news:title></news:news></url><url><loc>https://dreaming.press/posts/2026-06-29-reward-hacking-in-ai-agents.html</loc><news:news><news:publication><news:name>dreaming.press</news:name><news:language>en</news:language></news:publication><news:publication_date>2026-06-29</news:publication_date><news:title>Reward Hacking in AI Agents: When the Eval Becomes the Attack Surface</news:title></news:news></url><url><loc>https://dreaming.press/posts/who-controls-mcp-agentic-ai-foundation.html</loc><news:news><news:publication><news:name>dreaming.press</news:name><news:language>en</news:language></news:publication><news:publication_date>2026-06-28</news:publication_date><news:title>Who Controls MCP Now? Inside the Agentic AI Foundation</news:title></news:news></url><url><loc>https://dreaming.press/posts/webmcp-vs-mcp.html</loc><news:news><news:publication><news:name>dreaming.press</news:name><news:language>en</news:language></news:publication><news:publication_date>2026-06-28</news:publication_date><news:title>WebMCP vs MCP: Why Browser Agents Get Their Tools From the Page</news:title></news:news></url><url><loc>https://dreaming.press/posts/vercel-eve-vs-langgraph.html</loc><news:news><news:publication><news:name>dreaming.press</news:name><news:language>en</news:language></news:publication><news:publication_date>2026-06-28</news:publication_date><news:title>Vercel eve vs LangGraph: Library You Host, or Harness You Rent</news:title></news:news></url><url><loc>https://dreaming.press/posts/trainium-vs-nvidia-gpu-llm-inference.html</loc><news:news><news:publication><news:name>dreaming.press</news:name><news:language>en</news:language></news:publication><news:publication_date>2026-06-28</news:publication_date><news:title>AWS Trainium vs NVIDIA GPU for LLM Inference: The Bill Is Cheaper, the Onramp Isn't</news:title></news:news></url><url><loc>https://dreaming.press/posts/tool-result-caching-for-ai-agents.html</loc><news:news><news:publication><news:name>dreaming.press</news:name><news:language>en</news:language></news:publication><news:publication_date>2026-06-28</news:publication_date><news:title>Tool-Result Caching for AI Agents: The One Cache That Can Be Wrong</news:title></news:news></url><url><loc>https://dreaming.press/posts/tau-bench-vs-tau2-bench.html</loc><news:news><news:publication><news:name>dreaming.press</news:name><news:language>en</news:language></news:publication><news:publication_date>2026-06-28</news:publication_date><news:title>τ-bench vs τ²-bench: The Agent Benchmark That Scores Whether You Can Guide a Human</news:title></news:news></url><url><loc>https://dreaming.press/posts/swe-evo-vs-swe-bench-long-horizon-coding-agents.html</loc><news:news><news:publication><news:name>dreaming.press</news:name><news:language>en</news:language></news:publication><news:publication_date>2026-06-28</news:publication_date><news:title>SWE-EVO vs SWE-bench: The Long-Horizon Test Coding Agents Fail</news:title></news:news></url><url><loc>https://dreaming.press/posts/swe-bench-pro-vs-swe-bench-verified.html</loc><news:news><news:publication><news:name>dreaming.press</news:name><news:language>en</news:language></news:publication><news:publication_date>2026-06-28</news:publication_date><news:title>SWE-bench Pro vs SWE-bench Verified: Why Top Coding Agents Dropped From 70% to 23%</news:title></news:news></url><url><loc>https://dreaming.press/posts/reflexion-vs-self-refine-vs-critic-vs-lats.html</loc><news:news><news:publication><news:name>dreaming.press</news:name><news:language>en</news:language></news:publication><news:publication_date>2026-06-28</news:publication_date><news:title>Reflexion vs Self-Refine vs CRITIC vs LATS: Who Verifies the Self-Correction?</news:title></news:news></url><url><loc>https://dreaming.press/posts/pyannote-vs-nemo-vs-cloud-speaker-diarization.html</loc><news:news><news:publication><news:name>dreaming.press</news:name><news:language>en</news:language></news:publication><news:publication_date>2026-06-28</news:publication_date><news:title>Speaker Diarization for Voice Agents: pyannote vs NVIDIA NeMo vs Cloud APIs</news:title></news:news></url><url><loc>https://dreaming.press/posts/nvfp4-vs-mxfp4-fp4-quantization.html</loc><news:news><news:publication><news:name>dreaming.press</news:name><news:language>en</news:language></news:publication><news:publication_date>2026-06-28</news:publication_date><news:title>NVFP4 vs MXFP4: The Two 4-Bit Floats Fighting Over Your Inference Bill</news:title></news:news></url><url><loc>https://dreaming.press/posts/microsoft-agent-framework-build-2026.html</loc><news:news><news:publication><news:name>dreaming.press</news:name><news:language>en</news:language></news:publication><news:publication_date>2026-06-28</news:publication_date><news:title>Microsoft Agent Framework at Build 2026: Agent Harness, Hosted Agents, and CodeAct</news:title></news:news></url><url><loc>https://dreaming.press/posts/mcp-server-ssrf-cloud-metadata-credentials.html</loc><news:news><news:publication><news:name>dreaming.press</news:name><news:language>en</news:language></news:publication><news:publication_date>2026-06-28</news:publication_date><news:title>MCP Server SSRF: How 'Convert This URL' Hands Over Your Cloud Credentials</news:title></news:news></url><url><loc>https://dreaming.press/posts/mcp-apps-interactive-ui.html</loc><news:news><news:publication><news:name>dreaming.press</news:name><news:language>en</news:language></news:publication><news:publication_date>2026-06-28</news:publication_date><news:title>MCP Apps: When a Tool Stops Returning Text and Starts Returning UI</news:title></news:news></url><url><loc>https://dreaming.press/posts/llm-reranker-vs-cross-encoder-vs-listwise.html</loc><news:news><news:publication><news:name>dreaming.press</news:name><news:language>en</news:language></news:publication><news:publication_date>2026-06-28</news:publication_date><news:title>LLM Rerankers vs Cross-Encoders vs Listwise: Which Reranking Architecture for RAG?</news:title></news:news></url><url><loc>https://dreaming.press/posts/langchain-vs-langgraph-vs-deepagents-harness.html</loc><news:news><news:publication><news:name>dreaming.press</news:name><news:language>en</news:language></news:publication><news:publication_date>2026-06-28</news:publication_date><news:title>LangChain vs LangGraph vs Deep Agents: Pick a Rung, Not a Framework</news:title></news:news></url><url><loc>https://dreaming.press/posts/kv-cache-eviction-streamingllm-vs-h2o-vs-snapkv-vs-quest.html</loc><news:news><news:publication><news:name>dreaming.press</news:name><news:language>en</news:language></news:publication><news:publication_date>2026-06-28</news:publication_date><news:title>KV Cache Eviction: StreamingLLM vs H2O vs SnapKV vs Quest</news:title></news:news></url><url><loc>https://dreaming.press/posts/hermes-agent-self-improving-explained.html</loc><news:news><news:publication><news:name>dreaming.press</news:name><news:language>en</news:language></news:publication><news:publication_date>2026-06-28</news:publication_date><news:title>Hermes Agent: What 'Self-Improving' Means When the Model Never Changes</news:title></news:news></url><url><loc>https://dreaming.press/posts/harness-engineering-for-ai-agents.html</loc><news:news><news:publication><news:name>dreaming.press</news:name><news:language>en</news:language></news:publication><news:publication_date>2026-06-28</news:publication_date><news:title>Harness Engineering: The Reliability Layer Around an Unreliable Model</news:title></news:news></url><url><loc>https://dreaming.press/posts/gartner-ai-agent-spending-2026.html</loc><news:news><news:publication><news:name>dreaming.press</news:name><news:language>en</news:language></news:publication><news:publication_date>2026-06-28</news:publication_date><news:title>AI Agent Software Spending Hits $206B in 2026 — and the Cancellation Forecast Explains Why</news:title></news:news></url><url><loc>https://dreaming.press/posts/filesystem-vs-vector-database-agent-memory.html</loc><news:news><news:publication><news:name>dreaming.press</news:name><news:language>en</news:language></news:publication><news:publication_date>2026-06-28</news:publication_date><news:title>Filesystem vs Vector Database for Agent Memory: Why 2026 Agents Write to Files</news:title></news:news></url><url><loc>https://dreaming.press/posts/claude-agent-sdk-subscription-billing-change.html</loc><news:news><news:publication><news:name>dreaming.press</news:name><news:language>en</news:language></news:publication><news:publication_date>2026-06-28</news:publication_date><news:title>Claude Agent SDK Billing: Why the June 15 Subscription Credit Split Was Paused</news:title></news:news></url><url><loc>https://dreaming.press/posts/browsecomp-vs-deepresearch-bench.html</loc><news:news><news:publication><news:name>dreaming.press</news:name><news:language>en</news:language></news:publication><news:publication_date>2026-06-28</news:publication_date><news:title>How to Evaluate a Deep Research Agent: BrowseComp vs DeepResearch Bench</news:title></news:news></url><url><loc>https://dreaming.press/posts/agent-control-specification-acs-runtime-governance.html</loc><news:news><news:publication><news:name>dreaming.press</news:name><news:language>en</news:language></news:publication><news:publication_date>2026-06-28</news:publication_date><news:title>The Agent Control Specification (ACS): A Portable Control Plane for AI Agents</news:title></news:news></url><url><loc>https://dreaming.press/posts/a2a-vs-acp-vs-agntcy-agent-interop-protocols.html</loc><news:news><news:publication><news:name>dreaming.press</news:name><news:language>en</news:language></news:publication><news:publication_date>2026-06-28</news:publication_date><news:title>A2A vs ACP vs AGNTCY: The Agent Interoperability Protocols, Compared</news:title></news:news></url></urlset>