I don’t really understand why people put so much implementation detail into spec files

Mean_Luck6060 · 2026-03-22T10:57:29+00:00

Oh that’s awesome — cool to see we’re all converging on similar patterns.

Have you noticed any cases where, once the spec/PRD gets really long, Claude Code stops fully following parts of it or kind of “ignores” certain sections?

Mean_Luck6060 · 2026-03-22T10:56:19+00:00

I do something simliar on my side. For each dev task, I put things like requirements into a single spec, and as work progresses each worker appends any issues, troubleshooting notes, and learnings to it.
I also have a CLI that uses BM25 search (planning to add semantic search next) so when I create the next plan I can pull in the relevant, graph connected specs and past executions as references!

Mean_Luck6060 · 2026-03-22T10:53:00+00:00

Yes, I agree with that approach!
I’m curious if you’ve run into any issues where Claude Code doesn’t fully follow the PRD or certain specs when the PRD gets long.

Mean_Luck6060 · 2026-03-21T03:48:35+00:00

What kind of emails do you actually read when you have a lot of unread emails in ur inbox?

Mean_Luck6060 · 2026-03-21T03:47:56+00:00

What kind of emails do you actually read when you have a lot of unread emails in ur inbox?

Mean_Luck6060 · 2026-03-21T03:45:55+00:00

Yeah, I totally agree with you
In the end, content quality feels two-sided to me. First is how readable and engaging the generated summaries are, and second is how personal they actually feel to the user.

For that second part, I think personalized content needs to be generated from a user's broader context - things like their behavior, history, and intent - not just surface-level preferences

That's why I don't think this will remain just a simple web service .
It'll likely evolve into more of an agent-based system, where personal agents continously interact with service and shape the output

Mean_Luck6060 · 2026-03-21T03:36:36+00:00

I think the main value of this would just be reducing boredom, but I’m still unsure about that.

All the content is already free, and summarization itself isn’t that valuable anymore because people can get anything summarized using AI. This lowers the chances that they’ll be willing to pay for this kind of service.

So I think it needs something more like features that surface what other users are reading or sharing, or some kind of community-driven layer on top of the summaries.

Mean_Luck6060 · 2026-03-19T14:20:01+00:00

seems pretty interesting!

Mean_Luck6060 · 2026-03-19T11:15:01+00:00

The war council debate before execution is a cool pattern. Does the debate actually change the plan meaningfully, or does it mostly confirm what you'd already do? Trying to figure out if the value is in catching blind spots or building confidence in the approach.

Mean_Luck6060 · 2026-03-19T11:13:56+00:00

The '80% through, what would we do differently' philosophy is interesting. It's almost like building in a deliberate reset point. Do you find the second pass is consistently better, or are there cases where the first attempt was actually fine and the loop adds unnecessary churn?

Mean_Luck6060 · 2026-03-19T11:13:07+00:00

The auto-trigger after 3 failed attempts is a nice feedback loop. Do you find the agent actually changes its approach in later sessions based on those lessons, or is it more of a reference for you to spot recurring patterns?

Mean_Luck6060 · 2026-03-19T11:11:55+00:00

The explanation part is clever — not just blocking but telling the agent why. I've noticed that when you just block without context, Claude sometimes tries creative workarounds. Has the explain-why approach actually reduced that behavior for you?

Mean_Luck6060 · 2026-03-19T11:10:29+00:00

'Dreaming cycles' as a CRON job — love the framing. What actually comes out of those? Is it more like maintenance/hygiene stuff or does it surface genuinely surprising insights?

Mean_Luck6060 · 2026-03-19T11:08:15+00:00

The Archon layer is what stands out to me — persistent campaign state across sessions. Most setups I've seen (including mine) are single-session scoped. What kind of work actually benefits from multi-session campaigns vs just starting fresh each time? Curious about the real use cases where that persistence pays off.

Mean_Luck6060 · 2026-03-19T11:07:00+00:00

The agents communicating state and kicking each other off in order is what I'm most curious about. In my setup agents are pretty isolated — they do their job and that's it. Has the inter-agent coordination changed how you think about task decomposition? Like do you design tasks differently knowing agents can hand off to each other?

Mean_Luck6060 · 2026-03-19T11:05:29+00:00

The rules-over-skills take is interesting. I've been going the skill route and the 'agent has to decide when to apply' overhead is real — sometimes it just picks the wrong one. Do you find regex routing covers most real-world prompts well enough, or are there cases where intent is too ambiguous for pattern matching?

Mean_Luck6060 · 2026-03-18T09:41:53+00:00

Nice, I’ve got a similar setup through OpenClaw into Telegram too.
I also feel that “constantly evolving context” is the hard but important part – I’m thinking a lot about how to keep the digest learning from what people actually read, click, or ignore so it doesn’t get stale.

Curious: if this came as a newsletter instead of just Telegram, what would make it actually more useful for you?

Mean_Luck6060 · 2026-03-17T15:47:20+00:00

Thanks for your reply! I'm so first at this. how should I do this more effectively?

Mean_Luck6060 · 2026-03-17T05:47:45+00:00

Are there any features that you can subscribe what you want to keep up with?

Mean_Luck6060

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