artembugara's favorites

1.		Effective context engineering for AI agents (anthropic.com)
		146 points by epenson 5 days ago \| 31 comments
2.		Ask HN: What's your experience with using graph databases for agentic use-cases?
		78 points by mpetyak 4 days ago \| 50 comments
3.		The RAG Obituary: Killed by agents, buried by context windows (nicolasbustamante.com)
		285 points by nbstme 4 days ago \| 178 comments
4.		Designing agentic loops (simonwillison.net)
		284 points by simonw 5 days ago \| 117 comments
5.		How to make sense of any mess (howtomakesenseofanymess.com)
		461 points by surprisetalk 13 days ago \| 140 comments
6.		Deep researcher with test-time diffusion (research.google)
		93 points by simonpure 15 days ago \| 13 comments
7.		Context Engineering for AI Agents: Lessons (manus.im)
		120 points by helloericsf 11 days ago \| 4 comments
8.		Claude’s memory architecture is the opposite of ChatGPT’s (shloked.com)
		448 points by shloked 23 days ago \| 236 comments
9.		A PM's Guide to AI Agent Architecture (productcurious.com)
		208 points by umangsehgal93 31 days ago \| 62 comments
10.		LLMs and coding agents are a security nightmare (garymarcus.substack.com)
		194 points by flail 48 days ago \| 96 comments
11.		Good system design (seangoedecke.com)
		957 points by dondraper36 50 days ago \| 390 comments
12.		Agents built from alloys (xbow.com)
		181 points by summarity 76 days ago \| 80 comments
13.		Context Engineering Guide (elvissaravia.com)
		81 points by Bogdanp 88 days ago \| 28 comments
14.		AI agent benchmarks are broken (ddkang.substack.com)
		185 points by neehao 86 days ago \| 86 comments
15.		Context Engineering for Agents (rlancemartin.github.io)
		117 points by 0x79de 3 months ago \| 35 comments
16.		About AI Evals (hamel.dev)
		189 points by TheIronYuppie 3 months ago \| 43 comments
17.		What to build instead of AI agents (decodingml.substack.com)
		239 points by giuliomagnifico 3 months ago \| 119 comments
18.		The new skill in AI is not prompting, it's context engineering (philschmid.de)
		915 points by robotswantdata 3 months ago \| 518 comments
19.		There are no new ideas in AI, only new datasets (jxmo.io)
		490 points by bilsbie 3 months ago \| 289 comments
20.		MCP is eating the world (stainless.com)
		339 points by emschwartz 3 months ago \| 236 comments
21.		Writing documentation for AI: best practices (kapa.ai)
		223 points by mooreds 3 months ago \| 62 comments
22.		Nanonets-OCR-s – OCR model that transforms documents into structured markdown (huggingface.co)
		361 points by PixelPanda 3 months ago \| 78 comments
23.		Design Patterns for Securing LLM Agents Against Prompt Injections (simonwillison.net)
		110 points by simonw 3 months ago \| 28 comments
24.		Show HN: A “Course” as an MCP Server (mastra.ai)
		213 points by codekarate 3 months ago \| 32 comments
25.		LLMs are cheap (snellman.net)
		344 points by Bogdanp 3 months ago \| 309 comments
26.		Enterprises are getting stuck in AI pilot hell, say Chatterbox Labs execs (theregister.com)
		84 points by dijksterhuis 3 months ago \| 62 comments
27.		A Complete Guide to Meta Prompting (prompthub.us)
		116 points by saikatsg 4 months ago \| 25 comments
28.		From OpenAPI spec to MCP: How we built Xata's MCP server (xata.io)
		45 points by tudorg 4 months ago \| 17 comments
29.		LLM function calls don't scale; code orchestration is simpler, more effective (jngiam.bearblog.dev)
		282 points by jngiam1 4 months ago \| 101 comments
30.		How three years at McKinsey shaped my second startup (zactownsend.com)
		154 points by zt 5 months ago \| 180 comments
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