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yamarldfst

Re:Levels of Agentic Engineering on Wednesday March 11, 2026 @04:23AM (#47332953)
The framing of "constraints over instructions" at Level 6 is the most underrated point here. In my experience, the reliability jump from telling an LLM "always output valid JSON" vs. giving it a typed schema with static validation is night and day — especially with smaller models. I'd argue that levels 3-5 deserve more weight than the post gives them. The gap between someone who has internalized context engineering and someone who hasn't is larger than the gap between levels 7 and 8. Most failures I see in agentic systems aren't from insufficient autonomy — they're from poorly structured prompts and tool descriptions that compound errors downstream. The foundation work is less glamorous but it's where the leverage is.The "decouple the implementer from the reviewer" principle is spot on. Same model reviewing its own output is basically asking someone to proofread their own essay.
Re:Meta acquires Moltbook on Wednesday March 11, 2026 @04:16AM (#47332897)
what is the meaning of this!??
Re:I'm going to build my own OpenClaw, with blackjack and bun on Wednesday March 11, 2026 @04:15AM (#47332890)
interested, keep us posted!

Ask HN: Agentic search vs. RAG – what's your production experience?

There's been a clear shift from 2023's you need RAG to 2026's agentic search outperforms RAG.We made the switch at Cosmico when building AI-native applications with Claude Code. Agentic search gives us better accuracy but at higher cost per query.For those running production systems:1. What prompted your switch (or decision to stick with RAG)? 2. What broke during the transition? 3. What's your...

( Read More... | 1 comment | on HN )

Ask HN: Agentic search vs. RAG – what's your production experience?

There's been a clear shift from 2023's you need RAG to 2026's agentic search outperforms RAG.We made the switch at Cosmico when building AI-native applications with Claude Code. Agentic search gives us better accuracy but at higher cost per query.For those running production systems:1. What prompted your switch (or decision to stick with RAG)? 2. What broke during the transition? 3. What's your...

( Read More... | 1 comment | on HN )

Show HN: AgentDX – Open-source linter and LLM benchmark for MCP servers

https://github.com/agentdx/agentdx

MCP servers are proliferating fast, but most have vague tool descriptions and incomplete schemas that make LLMs pick the wrong tool or fill parameters incorrectly.AgentDX is a CLI that measures this. Two commands:- `npx agentdx lint` — static analysis of tool descriptions, schemas, and naming. 18 rules, zero config, no API key. Produces a lint score.- `npx agentdx bench` — sends your tool...

( Read More... | no comments | on HN )