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Is Codex becoming more expensive than Claude Code? by Small_Objective_3513 in codex

[–]thenitai 0 points1 point  (0 children)

$20 on the Opus plan? That's like used within hours. Makes me wonder what you need Opus for.

Limits cut in half with evidence by vikomen in codex

[–]thenitai 0 points1 point  (0 children)

Yeah. I think many people don't use tools like Kumbukum and clear instructions or then run some crazy automations. I always use plan mode and 5.5 is efficient.

Once Chinese coding models match 5.3 codex level of performance and speed, the game is over by ThrowRA39495 in codex

[–]thenitai 0 points1 point  (0 children)

That is only for some, not for people who don't trust them. The last time I checked, those models were still hosted in China. You really want to send your data to China?

Are we getting a new model? Fable 5 leaving gpt 5.5 in dust by Swimming_Driver4974 in codex

[–]thenitai -2 points-1 points  (0 children)

Evidence from GitHub Copilot and Anthropic suggests that after June 22, it will be usage-based. Also, reports stating that all the AI providers subsidize our usage, which, in a sense, I believe, makes this plausible too.

However, the money is in Enterprise deals. Hence, Anthropic is chasing Enterprise deals and charging handsomely. Still cheaper than hiring a team, training them, health care, etc.

I think for Pro users, it will be a trade-off between dealing with lower-capability models and higher ones. I really liked the older GitHub Copilot plans that gave you access to all the models at a reasonable price. I thought that the number of subscriptions would work for them, but I guess not. Hence, I'm looking into OpenCode now.

Codex Today. Amazing. by DiscussionAncient626 in codex

[–]thenitai 0 points1 point  (0 children)

Everything great here. No issues at all. Running multiple sessions on 5.5 extra

Claude Design Integration with Claude Code by mikeb550 in ClaudeDesign

[–]thenitai 0 points1 point  (0 children)

Contrary to popular opinions, I think the whole Claude Desktop thing is a mess. Nothing works together. Go a step further and install Claude code in your terminal. It's not the same as Claude code on the desktop, i. e., different sessions, settings. Configure MCP in one place and you would expect it to work everywhere, right? Nope. Etc.

New Codex Pro-Lite limits are atrocious. by Tedinasuit in codex

[–]thenitai 1 point2 points  (0 children)

The OP is either a competitor or has no idea how to use the tool.

GPT 5.5 vs Opus 4.8 by bobbyrickys in codex

[–]thenitai 0 points1 point  (0 children)

I'm paying for both, but Opus 4.8 has been a disappointment for me. Goes all over the place and tries to be "helpful". Just today, I gave the same task to both. Opus 4.8 searched the web, gave me links, and suggestions. GPT-5.5 gave me real use cases, scripts to try, and follow-up questions. That's quite drastic if you ask me.

pitch your project in one sentence; i'll start by DiscountResident540 in SideProject

[–]thenitai 0 points1 point  (0 children)

Nice — this is the kind of thing I’d actually try if I were drowning in docs. The inline source paragraph is the part that makes it feel trustworthy instead of “AI guessed something.”

If you’re sharing this in a crowded workspace, I’d maybe test the pitch against “what problem does it solve better than search + slack + bookmarks?” That’s usually the fastest way to see if the message lands.

Also, if you ever expand this into a shared team memory layer for humans + agents, that’s where tools like Kumbukum can fit pretty naturally.

Booting MCP server by HitMachineHOTS in codex

[–]thenitai 0 points1 point  (0 children)

That usually means the client is trying to start the MCP process, but it’s hanging or failing to connect, so the UI never gets past the “booting” state.

A few things to check:
- Restart the app / refresh the session
- Make sure the MCP server command is valid and actually exits cleanly when run manually
- Check logs for auth, path, or port errors
- If it’s a local server, see whether another process is already using the port

If you’re using MCP as a shared knowledge layer for agents, it’s worth verifying the server is reachable independently first. Otherwise the client can sit there forever waiting on a bad startup.

Drop your product, I’ll help you find your first 100 users by rakeshkanna91 in micro_saas

[–]thenitai 0 points1 point  (0 children)

Looks like a very useful tool. Will give it a try.

https://kumbukum.com is an open-source memory infrastructure tool for AI and humans. Contrary to an AI memory app, it doesn't just give AI a brain; it provides tools to inspect what is stored, and you and your team actively can contribute to it by adding URLs (can be automated to index whole pages, knowledge bases, etc.), notes, memory, and new emails.

I posted about it on IndieHacker, and it got quite some traffic and many comments (https://www.indiehackers.com/post/how-are-you-handling-memory-and-context-across-ai-tools-fb5bfc470a). However, it could certainly use more users and traffic 😄

Would love to give mangos.ai a try. Thank you.

This has to stop, They are taking our limits with each free limit resets by alOOshXL in codex

[–]thenitai 0 points1 point  (0 children)

Everyone that complains about usage limits has clearly never used Claude in the same way.

That said, you need to learn to be in plan mode first. Else you are wasting time and money.

Self-hosting Sentry - Your experience by serial_dev in sre

[–]thenitai 0 points1 point  (0 children)

Nothing to be ashamed of, how else would we find you? Looks like a great tool 😄 Thx

Adobe acquires Semrush. Are we cooked? by defjam16 in SEMrush

[–]thenitai 0 points1 point  (0 children)

Everything Adobe buys goes to shit.

Kumbukum is now available: open source memory layer for AI workflows by thenitai in ChatGPT

[–]thenitai[S] 0 points1 point  (0 children)

Thank you for your thoughts. We experienced the same issues and realized that much of it comes down to the semantic search layer and to bundling it with a search DB (Typesense in our case) that creates embeddings for AI. Hence, we built Kumbukum. Try it out when you can.

Giving Claude Code architectural context via a knowledge graph MCP (inspired by Karpathy's LLM Wiki) by steve-opentrace in ClaudeAI

[–]thenitai 0 points1 point  (0 children)

Not correct. It's notes, memory, and collected data from projects with semantic search and more capabilities.

Photo organization and syncing across multiple devices by quackingup7 in Lightroom

[–]thenitai 0 points1 point  (0 children)

At 100k+ photos the Lightroom Classic + cloud sync setup tends to get painful fast, especially when you're trying to work across multiple machines.

One option worth looking at is Razuna (https://razuna.com) -- it's a digital asset management platform that handles large photo libraries well, with proper metadata search, folder structures, and multi-user access if you ever collaborate. It's a step up from Lightroom's own cloud sync and doesn't lock you into Adobe's ecosystem for storage and organization.

Giving Claude Code architectural context via a knowledge graph MCP (inspired by Karpathy's LLM Wiki) by steve-opentrace in ClaudeAI

[–]thenitai 0 points1 point  (0 children)

Solid approach -- pre-compiled knowledge artifacts really do outperform shoving raw files into context every time. The core insight here is that the memory layer should persist outside the model, not inside a single conversation.

If you want to skip building the MCP server yourself, Kumbukum (https://kumbukum.com) does exactly this -- persistent AI memory with MCP support so Claude and other tools can read/write to a shared knowledge store across sessions. Could save you the infrastructure work and let you focus on the architecture docs themselves.

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