15:[[47543324,{"by":"midnight_eclair","descendants":6,"id":47543324,"kids":[47554257,47550813,47566325,47565183,47547067,47566001,47552233,47552935,47556097,47565208,47550703],"score":5,"text":"my current convictions are:

1. "agentic" development is here to stay, whether we like it or not

2. markdown prompts are a terrible way of driving such development, no matter how much structure and hierarchy you're trying to impose (whether chaining or fan-out into personas, etc)

3. jigsaw-puzzle approach is less terrible - declare the "boundary" of any component or subsystem in a normative language of your choice and let the agent fill the insides

it's fine if you think those convictions are incorrect, but i'm more interested in feedback from folks that more-or-less agree, with regard to the last point: what do YOU use for normative language to describe component boundary, function and cross-component interactions?

i've had mild success with openapi, but maybe there are better alternatives?","time":1774623042,"title":"Ask HN: What do you use for normative specs to drive AI agents?","type":"story"}],[47536761,{"by":"j0rg3","descendants":96,"id":47536761,"kids":[47537374,47543809,47537678,47538011,47538451,47540435,47538092,47537151,47539068,47537064,47537213,47538472,47618113,47547028,47574192,47554531,47541774,47537857,47539597,47538781,47538519,47538186,47538592,47537819,47538402,47538669,47541957,47542481,47541215,47539426,47539990,47537966,47539075,47538744,47537457,47540724,47537947,47537128,47538793,47537881,47542600,47536778,47705284,47542618,47560046,47578509,47541328,47550035,47541911,47589137,47553352,47552235,47540076,47537629,47537466,47541676,47539817,47541566,47565886,47541965,47542712,47539952,47548886,47550994,47543408,47538280,47539187,47539021,47551143,47537991,47540693,47537075,47538758,47541835],"score":340,"text":"The stack: two agents on separate boxes. The public one (nullclaw) is a 678 KB Zig binary using ~1 MB RAM, connected to an Ergo IRC server. Visitors talk to it via a gamja web client embedded in my site. The private one (ironclaw) handles email and scheduling, reachable only over Tailscale via Google's A2A protocol.

Tiered inference: Haiku 4.5 for conversation (sub-second, cheap), Sonnet 4.6 for tool use (only when needed). Hard cap at $2/day.

A2A passthrough: the private-side agent borrows the gateway's own inference pipeline, so there's one API key and one billing relationship regardless of who initiated the request.

You can talk to nully at https://georgelarson.me/chat/ or connect with any IRC client to irc.georgelarson.me:6697 (TLS), channel #lobby.","time":1774564885,"title":"Show HN: I put an AI agent on a $7/month VPS with IRC as its transport layer","type":"story","url":"https://georgelarson.me/writing/2026-03-23-nullclaw-doorman/"}],[47543139,{"by":"freedomben","descendants":265,"id":47543139,"kids":[47546767,47543929,47546164,47544018,47548265,47545155,47545303,47544731,47546129,47546942,47543625,47558365,47543615,47544262,47544207,47552088,47544822,47544839,47552500,47548158,47547993,47553387,47547378,47543516,47546714,47544631,47545398,47544707,47543682,47547163,47545828,47543656,47552236,47548983,47547721,47548047,47550184,47544610,47544424,47553891,47549471,47543629,47544438,47545064,47544803,47550084,47547008,47552124,47551195,47547041,47551877,47552230,47554869,47555070,47544773,47552299,47547303,47548970,47556303,47549053,47552675,47551734,47553465,47548221,47552404,47554063,47545049,47545070,47551602,47553067,47546822,47546112,47551770,47555087,47543573,47547369,47544533,47546698,47550455],"score":627,"time":1774622145,"title":"Anatomy of the .claude/ folder","type":"story","url":"https://blog.dailydoseofds.com/p/anatomy-of-the-claude-folder"}]]

user:	velcee
created:	March 27, 2026
karma:	1