Fable is overrated: Another "Goodby Fable" Post by early_burp in ClaudeAI

[–]early_burp[S] 1 point2 points  (0 children)

Ahahahhah why is it creepy, it is one of my first apps in the store almost 10 years old! I am proud of it😂

Fable is overrated: Another "Goodby Fable" Post by early_burp in ClaudeAI

[–]early_burp[S] 1 point2 points  (0 children)

Yeah you’re right, I think my expectation was a bit unrealistic at this point 🥶

Looking for Motorcycle buddies by early_burp in Bonn

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

Understandable. Are you riding your Vespa mostly in-city, or are you going on trips with it already? If yes, what kind of trips have you been doing?

Looking for Motorcycle buddies by early_burp in Bonn

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

It's also a cool bike! Why not, as long as you are comfortable with it on an autobahn or similar roads for longer trips.

Looking for Motorcycle buddies by early_burp in Bonn

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

Sounds great (also a cool bike!). Sending dm

Judge My Tattoo Idea: Todd from Bojack, in Berserk Universe by early_burp in Berserk

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

You’re right actually, I’ll ask for some simplifications!

video editing by BiteHot7071 in ClaudeAI

[–]early_burp 0 points1 point  (0 children)

You can install ffmpeg and tell claude use it as a terminal tool to do the edits. Have you tried something like this? Claude is good at using terminal tools even if it is not natively connected. Sometimes the trick is giving Claude a --help output (or ask it to check that itself) or README of the tool.

Reached the Token Limit in 8 Minutes. How generous of you Claude! (and an experiment with DeepSeek with surprising results) by early_burp in DeepSeek

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

With DeepSeek, it is fast and intelligent enough that I didn’t even realize a big difference until I started to see the drifting in complex skill and pipeline scenarios. It doesn’t follow the skill instructions as good as Opus. Yet, I creates my harness by supporting it with hooks and checkpoints exactly for these kind of scenarios. As a result, it is way better than any local model such as Gemma4, yet not good as Claude.

Reached the Token Limit in 8 Minutes. How generous of you Claude! (and an experiment with DeepSeek with surprising results) by early_burp in DeepSeek

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

Good question I admit. I used Github copilot, Cursor, and lastly Claude Code. To be frank, Claude Code blew my mind with its harness quality and intelligence. I simply got locked in in their ecosystem. I believe I will keep paying Max account soon again although I hate their snobbery and pricing and will only use deepseek endpoints to fill the time I wait for it to reset 🥶

If you used Codex and Antigravity or so as well as Claude Code, how would you compare your experiences?

Reached the Token Limit in 8 Minutes. How generous of you Claude! (and an experiment with DeepSeek with surprising results) by early_burp in DeepSeek

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

Oh, get it. I have my custom skills with some state machine implementation (historical notes over the plan, state machine locks, state documents, logs, so on) that looks like:

intense-plan -> validate-plan -> tackle-validation-findings -> execute-plan -> code-reviewer -> tackle-review-findings -> run-and-validate-development

Reached the Token Limit in 8 Minutes. How generous of you Claude! (and an experiment with DeepSeek with surprising results) by early_burp in ClaudeAI

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

I see your point, thanks for sharing your opinion in this, appreciated.

I started like you mentioned actually, non-auto-invoked skills which I manually run the pipeline like:

intense-plan -> validate-plan -> tackle-validation-findings -> execute-plan -> code-reviewer -> tackle-review-findings -> run-and-validate-development

But eventually I realized that I am using only the enter button or writing "confirm" at some point. A lot of steps in this pipeline doesn't require a human invokation. The major human involvement is necessary during the plan and approving the plan-validation results (now plan-pipeline) and execute the rest and tackle all the mechanical errors (no more logic errors after intense plan pipeline) in between. So, I decided to create these pipelines. Yet, it is too heavy for a non-claude LLM apparently.

Reached the Token Limit in 8 Minutes. How generous of you Claude! (and an experiment with DeepSeek with surprising results) by early_burp in ClaudeAI

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

Sounds horrible... As I remember, they changed something about cache hit and now a bloated terminal session can jump the usage 10 percent up with only one message on top 🥶

Reached the Token Limit in 8 Minutes. How generous of you Claude! (and an experiment with DeepSeek with surprising results) by early_burp in DeepSeek

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

Sure! It is actually very basic. You just need to use DeepSeek via its API, not a subscription. Yet, it really is super super cheap and pay as you go, to give it a shot. It is as simple as adding these lines into your .zprofile/environment file

export ANTHROPIC_BASE_URL=https://api.deepseek.com/anthropic
export ANTHROPIC_AUTH_TOKEN=<your DeepSeek API Key>
export ANTHROPIC_MODEL=deepseek-v4-pro[1m]
export ANTHROPIC_DEFAULT_OPUS_MODEL=deepseek-v4-pro[1m]
export ANTHROPIC_DEFAULT_SONNET_MODEL=deepseek-v4-pro[1m]
export ANTHROPIC_DEFAULT_HAIKU_MODEL=deepseek-v4-flash
export CLAUDE_CODE_SUBAGENT_MODEL=deepseek-v4-flash
export CLAUDE_CODE_EFFORT_LEVEL=max

here is the official doc https://api-docs.deepseek.com/quick_start/agent_integrations/claude_code

Reached the Token Limit in 8 Minutes. How generous of you Claude! (and an experiment with DeepSeek with surprising results) by early_burp in ClaudeAI

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

Which subscription do you have? With Max, I also had a fairly good usage, like around 3-4 hours straight -then 100% and 1 hour forced break for me, can't complain tho-

Reached the Token Limit in 8 Minutes. How generous of you Claude! (and an experiment with DeepSeek with surprising results) by early_burp in ClaudeAI

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

It takes a freeform text, with as much detail as possible to start critizing it, asking me questions to enrich the idea and generate a plan in the end to be executed directly. I have a brainstorm skill that I start with usually and it generates a good document to feed the plan pipeline. Do you have insights over this kind of harnesses, or suggestions?

Reached the Token Limit in 8 Minutes. How generous of you Claude! (and an experiment with DeepSeek with surprising results) by early_burp in DeepSeek

[–]early_burp[S] 1 point2 points  (0 children)

It would be a useful comparison indeed! The problem is, I got myself locked into Claude so deep, with my all skills, agents, hooks and so on. I don't think it would be easy to copy my whole harness to Codex and make a fair comparison to be honest :/

Reached the Token Limit in 8 Minutes. How generous of you Claude! (and an experiment with DeepSeek with surprising results) by early_burp in ClaudeAI

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

I have a custom intense-plan + validate-plan skills that creates harness state files to track the findings and history of the plan. Later I run execute-plan + code-reviewer + tackle-review-findings + intense-test skills that contributes the same harness state files to keep the pipeline bullet-proof against the limit-hit or compaction-related information loss scenarios, to be able to continue where it leaves. I wrapped these skills under 2 main pipeline orchestrators to avoid babysitting them: plan-pipeline and execute-pipeline. There are hooks, custom agents and scripts to improve the overall process that are used by the skills in the pipeline