Hi everyone,

I'm completely new to generating code with AI, and I actually have zero coding knowledge. I've been trying to build a project using Kimi 2.6, but I've run into a massive issue: with every single request, it reads my entire project from scratch. It is incredibly slow, and it's absolutely draining my wallet due to the massive token usage.

I'd love to get some advice from the experienced folks here:

• Optimizing Kimi 2.6: Are there any specific tricks, prompt constraints, or workflows to stop it from re-reading everything every time?
• Alternative Models: If Kimi isn't the best fit for this, which alternative models offer similar coding performance but handle project context much cheaper or more efficiently?

I'd really appreciate any advice or tactics you can share to help me speed things up without going broke. Thanks in advance!

kimi k2 seems to be getting used a lot for agentic coding setups lately. curious how people deal with long-running tasks specifically does the context hold up, or do you run into the same drift/staleness thing you get with other models after a while

if you do hit that wall, what's the actual recovery move

Are these safe to run personal finance on? (Paid versions)

I really like Kimi and have heard good things about deepseek… but hear all the horror stories since they are Chinese based AI

Or they just good for local coding ?

Another recommendations (besides Claude and already have codex)

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yesterday i bought kimi allegretto plan, i was using claude code for this, but several problems i was having let me thought about migrating on kimi, on paper it should have done everything i needed.

my project is:

an health tracker with 4 pros following my path, a doctor, a trainer, a psychologist and a moral compass

i have some MD files acting as a database, in those files there are nutrition facts, BIA and weight data, psychological facts, food database, daily logs etc.
yes lots of text but not so much that should be a problem.

i created a kimi claw instance, it worked weel while i was setting it, make it read all instructions files etc.

but today every single thing i write i have only this response

The engine is currently overloaded, please try again later

i tried auto fix, restart gateway and reset kimi claw instance, nothing worked.

some suggestions? i also wrote to support, really it worked for like 4 hours, i don't even reaced 1% of my quota...

(update)

Looks like it's super fast again. Yay!

(original)

Hi,

I've been using kimi code (Allegro in Linux with kimi code cli app) and I'm very happy with it but I noticed since like maybe less than 24hrs ago the prompt processing is slow.

You give it a "hello" and it takes a very long time to come back.

Anyone else having similar issues? It makes the cli harness feel as if it's stuck because nothing is moving and not even the "working..." status line does not show for like a minute or more.

Thanks!

I've been using AI agents like OpenCode, Claude Code, and Cursor for months. They're great with code, but when they need to search or browse the web, things get complicated: Cloudflare blocks them, JavaScript-heavy sites don't load, APIs cost money.

So I built browser-search.

It's three open source tools orchestrated by a skill, fully self-hosted:

• SearXNG — metasearch engine that queries dozens of search engines at once
• Camofox — full browser via REST API, always warm, for browsing and interacting
• CloakBrowser — stealth browser for when the site has Cloudflare, Akamai, or DataDome

The agent decides which tool to use. Zero human intervention. Zero API keys. Zero subscriptions.

What makes it different:

• It's a skill, not a plugin — works with any agent that can read instructions
• Automatic navigation escalation: if Camofox gets blocked, it switches to CloakBrowser
• Deep Research mode: the agent is instructed to go beyond surface-level answers, cross-verify sources, cover every aspect
• Integrated Readability.js for clean article extraction (~70% token savings)
• The SKILL.md is plain text — fork it, tweak it, make it yours

Built-in security. Browser-search is designed to be safe to install and use, including SSRF protection, script sandboxing, rate limiting, and path traversal blocks.

MIT licensed on GitHub: Johell1NS/browser-search

If you try it, let me know. If you make it better, even more so. If you don't need it, share it with someone who might. Every star, comment, or pull request is welcome — that's what makes open source great.

Hey, I have been using Ollama Cloud for a while now to test chinese models one of them being k2.6 which worked out perfectly. I was considering to directly subscribe to the moderato plan (15$/month) vs Ollama Cloud (20$/month) as I dont use the other models that Ollama offers so it kinda felt overpaying.

My main concern were the limits of the moderato plan. Do you think they are comparable to Ollama Cloud? According to Ollama, I do around 2k requests per week.

Came across this video, is it really this bad?

I've been using Kimi Code for a while (months) and it was quite stable, and was really great, but now it seems that they created a new one from scratch, that is being upgraded daily, and basic things like permissions modes are not working well.

Default mode keeps asking you every little step. Unusable.
auto/yolo mode seems to be the same, in practice, just confusing to decide, but the worst part is that it ignores questions to the user and you cannot ask to make a plan, cause they auto approve the plan.

Basically, it feels like I cannot have a basic use where basic tools are approved, then only important questions are asked. It's either auto-approve everything or ask for everything.

Is there anyone else having these issues?

I'm kimi allegretto users.

I want to know about the kimi users agent recommendation.
I'm a junior developer and I usually make a web and cloud ecosystem.

So, which harness do you use? And what's the best harness for kimi?

I appreciate to reply this post.

I already predict downvotes but who even cares atp, life ain't a challenge on who's the best redditor.

It's always the same cycle, rich people that can spend enough money to jump from a model subscription to another or pay more for APIs (even if way cheaper than GPT or Claude but it's still more than a subscription). The average "little guy" can't sustain such thing yet still he/she is influenced by those people that keep complaining or sharing their most insane experiences. Most of the times there's a big lack of context. They never teach you AI for your real needs, instead it's all a larp, almost like trading.

Anyway, my thoughts:

GLM is slightly more expensive than KIMI and has no multimodality, i know that the 1M context window is a big upgrade, I'm the first one to complain and KIMI's small context window but KIMI has objectively more features and brings way more possibilities. And tbh, personally i deleted my GLM account after i asked to do some research with uploaded files in Agent mode and always refuses to do anything compared to KIMI + if you aren't a coder paying for GLM is completely useless, you basically log in and what you see on GLM chat is all you get. Verbosity feels even worse than Qwen for what i tested in writing docx/pdf files and research, even if benchmarks say that GLM is slightly more verbose than Qwen.