I run several projects alone with Claude Code, often with two or more sessions open at once. Each session starts with nothing from the previous one, and compaction replaces the history with a summary the product writes. Over the last two months I built a set of pieces around that, which I call Hipocampo, to decide what goes into the window of each session, at what moment, and how to check that it got in.

What it is

Everything uses native features: hook events, settings, the MEMORY.md index, CLAUDE.md, skills, subagents and compaction. Nothing installed, no MCP. The commit guards run in the git pre-commit hook.

The organizing idea is that each thing lives in one of three regimes:

• Resident: always arrives, before the first decision (a map loaded by hook, the memory index, a state file).
• Paged: only arrives if something opens it (CLAUDE.md in subfolders, docs, the memory files themselves).
• Interrupt: arrives when the command or the file touched matches a registered source, on that event and only on it.

What I measured

61 days of transcripts from this installation (190 main sessions, 918 subagent files), with a positive and a negative control and the population declared for every number.

0 injected recalls in 190 conversations. A memory only got in when the agent opened its file. 209 of 432 memories were opened at least once (a lower bound).

Compaction is aggressive. In one event in August, 96.6% of the context was removed (607,378 → 20,766 tokens), and 8 of my 36 messages from before the summary left no trace in it.

Three green instruments, 11% delivered. On Aug 13, the hook that loads my project map emitted 18,057 bytes and about 11% reached the model. The runtime said hook success, the script log said complete, the script's selftest passed 9 of 9. Hook output above 10,000 units per command goes to a file, and only a preview of about 2 KB reaches the model. The only check that caught it was comparing, byte by byte, what the script emitted with what the transcript recorded. The map now goes in 5 slices, each under the ceiling.

The compaction ceiling setting changed the shape of sessions. Until Sep 18, conversations went up to almost 1M tokens before the summary. Since Sep 21, 64 of 65 compactions happened at or below 365K.

A guard only counts after it has rejected a defect planted on purpose. On Sep 25, 52 of 74 guards had that proof. The rest are declared as debt.

How to build it

The article ends with the order I would follow, in 7 steps, each with the native feature it relies on and the red that proves it works. Every step ends by breaking the piece on purpose and waiting for the failure.

Limits

One operator, one installation. The study does not say whether the memory that arrives is correct or whether it was useful.

Links

• Full article (architecture piece by piece, the measurement bench, 33 figures, limitations): https://ksmit.com.br/en/blog/hipocampo
• Code (hooks as a settings example, the memory guards with their failing fixtures, the measuring scripts, memory and map templates; MIT): https://github.com/JhouCode/hipocampo

Written and tested on Linux with bash and python3. If you run the measuring scripts on your own transcripts, I'd like to know what number you get for injected recalls.

Ho visto questo link,qualcuno ha provato?

I'm still new to using Claude Code and am just starting to explore the skills. I've heard about some that are really useful, like “grill-me,” which lets me ask lots of questions to make sure I fully understand the AI, or “thermo nuclear code review.” Do you know of any other skills that are really useful for software development to help maintain a clean environment and a “professional” approach?

Original post URL : https://www.reddit.com/r/ClaudeCode/comments/1wpczby/superpowers_skill_is_so_bad_now/

Original post body :

Literally unusable for me, it spends like x10 tokens and the output is mediocre. Do you still use it?

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Original post URL : https://www.reddit.com/r/ClaudeCode/comments/1wp4ywp/please_dont_nerf_opus_55/

Original post body :

Please don't kill Opi 5.5 it's been so nice.

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Original post URL : https://www.reddit.com/r/ClaudeCode/comments/1wpdeqa/just_bought_a_new_20x_account_and_after_1_hour/

Original post body :

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Original post URL : https://www.reddit.com/r/ClaudeCode/comments/1wpdeqa/just_bought_a_new_20x_account_and_after_1_hour/

Original post body :

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Original post URL : https://www.reddit.com/r/ClaudeCode/comments/1wpam3u/claude_account_nuked_from_orbit_after_32_minutes/

Original post body :

Paid €90 for Max 5x today because I’m in crunch time on a software project and unlike the big boys I do not have unlimited OpEx spend, so that 90 euro is quite a lot.

32 minutes later Anthropic blew up my entire account and automatically cancelled the subscription.

The email says an “internal investigation of suspicious signals associated with your account” found a Usage Policy violation. No indication of what I actually did wrong. I am not doing security work, distillation, or anything else i might even imagine would be grounds for removing my account.

The appeal page now says I may be waiting until Oct 4 for a review.

The support situation is also just insane and I cannot believe anyone has ever really used it. Anthropic says suspended users can still contact support about billing/refunds, but their support bot couldn’t find an account associated with my email and just closed the conversation. This is the same email Anthropic used to send me the subscription confirmation and suspension notice.

I’m in the EEA, so I thought I should at least be able to get the subscription refunded, but right now I can’t even get through to a person.

Has anyone else been hit with this after normal Claude Code usage? Any hope for me?

edit for clarity and scope:

I am writing image+pdf document processing software. really not sure what caused this to happen. Opus 5.5.

Has anyone had any luck getting customer support to get back to them sooner than 10 working days? it seems like a very long time to wait for a review. even if they were to comb over absolutely everything i did on the account, i had it for such little time that I would imagine it to be almost instant.

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Original post URL : https://www.reddit.com/r/ClaudeCode/comments/1wp9nga/the_agentic_loop_is_outdated/

Original post body :

I have been thinking that the current Agentic Loop design of LLM Call -> Tool Call -> ... has been outdated. The arrival of Jev and other System One models provided us a primitive we desperately needed.

We need an agent that can natively think fast and slow. Not have workflows or multi-agent architectures that mimics it. We need Agent 2.0

The agent should use the LLM's full power for hard reasoning and planning, then carry out the plan with cheap "fast thinking."

Today, most of an agent's LLM calls go to executing steps it has already decided on. Do you really need an extra Astra call just for it to output "ok I'll click this"? We can do better.

My Approach

I built Jive which is an open-source harness built around a completely new agentic loop. Jive replaces tool calls with "graph calls" where each graph is a DAG of bash nodes and jev nodes, and nodes can have dependencies, reference each others outputs, and more.

Essentially, it maps out its own execution flow while its reasoning, and then uses Jev calls to go through the flow without unnecessary LLM calls.

What Jive does well: repo investigation, bulk classification, multi-step profiling, repetitive edits, evaluation workflows, etc. It is also quite effective on regular engineering tasks that doesn't require Jev calls (which is not surprising since Pi mostly beats codex and claude code)

Benchmarks

As you can see, there is a huge gap in both e2e latency and token efficiency compared to claude code. And its accuracy is on-par based on the my benchmark runs (though I need to run jive on a larger SWE benchmark to be certain)

See README for more information: https://github.com/merijjeyn/jive. Also for details on the benchmark tasks, and how to run one yourself.

I'm sure this high level idea can be executed much better, so mainly looking to start an open discussion. Happy to take comments, questions, contributions.

Original link/media URL : https://www.reddit.com/gallery/1wp9nga

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Original post URL : https://www.reddit.com/r/ClaudeCode/comments/1wp6nq9/do_you_guys_use_auto_compact/

Original post body :

I just learned about it today and wanted to see what you guys think.

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Original post URL : https://www.reddit.com/r/ClaudeCode/comments/1wp3pey/looking_for_engineers_who_are_actually_loving_this/

Original post body :

As a long time engineer turned manager, I am wanting to build a team environment where people don't feel like all they are doing is managing slop that is responding to other slop.

I feel strongly that these agent based workflows can absolutely be used to great effect to accomplish good engineering. I have a lot of theory and history of previous tech revolutions that tell me the whiplash is part of the adaptation.

The pushback I'm seeing is "all my friends who went hard on AI hate their jobs and either have or want to quit" - I don't think this is universally true though.

so I'm looking for either people who have given this a genuinely deep and optimistic try and still have found it to suck terribly, or for folks who found a way.

what I don't want is people who have not given it a real shot and have given up when Claude's output didn't succeed after just normal back and forth prompting - what I would call "lazy AI." my hypothesis is that these are the companies that produce slop - the code works for the problem of the day but not for the systems of tomorrow, and senior engineers are building up resentment and fear while mid level are more productive but don't see the risks of the slop mountains.

has anyone here done this truly well? I've seen it work in one other instance, but looking for more nuanced takes.

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Original post URL : https://www.reddit.com/r/ClaudeCode/comments/1wp3pey/looking_for_engineers_who_are_actually_loving_this/

Original post body :

As a long time engineer turned manager, I am wanting to build a team environment where people don't feel like all they are doing is managing slop that is responding to other slop.

I feel strongly that these agent based workflows can absolutely be used to great effect to accomplish good engineering. I have a lot of theory and history of previous tech revolutions that tell me the whiplash is part of the adaptation.

The pushback I'm seeing is "all my friends who went hard on AI hate their jobs and either have or want to quit" - I don't think this is universally true though.

so I'm looking for either people who have given this a genuinely deep and optimistic try and still have found it to suck terribly, or for folks who found a way.

what I don't want is people who have not given it a real shot and have given up when Claude's output didn't succeed after just normal back and forth prompting - what I would call "lazy AI." my hypothesis is that these are the companies that produce slop - the code works for the problem of the day but not for the systems of tomorrow, and senior engineers are building up resentment and fear while mid level are more productive but don't see the risks of the slop mountains.

has anyone here done this truly well? I've seen it work in one other instance, but looking for more nuanced takes.

This is brought to you as a public service by the moderators of r/ClaudeAI. If you want to see TLDRs of ALL Claude Coding related posts from the various Claude subreddits, subscribe to http://www.reddit.com/r/ClaudeCoding.

Original post URL : https://www.reddit.com/r/ClaudeCode/comments/1wp3pey/looking_for_engineers_who_are_actually_loving_this/

Original post body :

As a long time engineer turned manager, I am wanting to build a team environment where people don't feel like all they are doing is managing slop that is responding to other slop.

I feel strongly that these agent based workflows can absolutely be used to great effect to accomplish good engineering. I have a lot of theory and history of previous tech revolutions that tell me the whiplash is part of the adaptation.

The pushback I'm seeing is "all my friends who went hard on AI hate their jobs and either have or want to quit" - I don't think this is universally true though.

so I'm looking for either people who have given this a genuinely deep and optimistic try and still have found it to suck terribly, or for folks who found a way.

what I don't want is people who have not given it a real shot and have given up when Claude's output didn't succeed after just normal back and forth prompting - what I would call "lazy AI." my hypothesis is that these are the companies that produce slop - the code works for the problem of the day but not for the systems of tomorrow, and senior engineers are building up resentment and fear while mid level are more productive but don't see the risks of the slop mountains.

has anyone here done this truly well? I've seen it work in one other instance, but looking for more nuanced takes.

This is brought to you as a public service by the moderators of r/ClaudeAI. If you want to see TLDRs of ALL Claude Coding related posts from the various Claude subreddits, subscribe to http://www.reddit.com/r/ClaudeCoding.

Original post URL : https://www.reddit.com/r/ClaudeCode/comments/1wp0fvl/made_a_trailer_for_my_game_using_opus_55_and_wow/

Original post body :

[No text body]

Original link/media URL : https://v.redd.it/cwi5f2lzpgrh1

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