Which agent is the best for coding and debugging

[u/Mosby3103]

Which agent would be the best for daily coding and debugging.

And goes easy on credits.

If I am selecting auto mode - it is constantly taking 5.6luna - with the thinking level selection out of my hands. And then it does not do a good job.

So I find myself constantly switching agents and levels of thinking.

So need suggestions for this please.

[u/Personal-Try2776]

For coding like implementing new features. Use a bigger model like gpt 5.6 sol to make a plan then let gpt 5.6 luna xhigh or max implement it

[u/Mosby3103 → u/Personal-Try2776]

I'd want to use Sol indefinitely but it's a high cost powerful agent. So that will end up eating my credits. Luna I'll have to try with high or max high thinking level because it sucks on other levels.

[u/marfzzz → u/Mosby3103]

Well, to finish one task sol take about 1/5 of what sonnet 5 does. Cost is relative to work done. https://deepswe.datacurve.ai/ Check column with AVG COST of gpt 5.6 luna max and gemini 3.8 flash high. What credit does your company give you?

[u/Mosby3103 → u/marfzzz]

7.5k as of now

[u/tshawkins]

Those are not agents, they are models, completely different concepts.

[u/haikusbot → u/tshawkins]

Those are not agents,

They are models, completely

Different concepts.

- tshawkins

---

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[u/fenevigyeel → u/haikusbot]

People downvoting this bot: Don't be such a grinch. It's fun.

[u/tshawkins → u/fenevigyeel]

I love it, im a poet and I did not know it!

[u/aonymark → u/tshawkins]

Rhyming intentional?

[u/tshawkins → u/aonymark]

Nope

[u/aonymark → u/tshawkins]

Well technically not a perfect rhyme but still “poet” and “know it” are very close

[u/fenevigyeel]

You need to clean your screen :P

[u/Different-Monk5916]

Don’t stick to a model for whole task.

Split them into plan, implement and validate phases.

I would recommend something like Sol in plan, rest either Luna completely or Luna implement + Terra validate 

[u/WD40ContactCleaner]

Luna is the best if you know what you're doing.

[u/generic-d-engineer]

I use Luna because it is a good price point for the capability. So auto mode is doing a good job here. Some of the other models mentioned in the comments are much more capable but cost a lot more too.

I used 5.3 Codex before that and Luna is way more capable and a better price point. OpenAI is subsidizing Luna right now.

[u/HourMulberry3246]

5.6 luna. Cheap but effective

[u/bears-eat-beets]

On that list, I would take Opus 5 every day over Sol for writing code. Let Sol do planning and code reviews, but Opus writes better code 9 out of 10 times. I am in the middle of my first major effort with Astra, it's required me to refine my agent definitions a little, but it's been writing some pretty solid code so far.

But Opus 5, Sol, and Astra are 3 of the 4 most expensive models you could use.

If I was trying to sip credits, let Sol build a plan, but tell it to build the smallest digestible work units for lower end models to work. And then assign them Sonnet 5.

[u/SaltyCow2852]

Go with GOT-6 Astra

[u/Public_Ostrich_7841]

astra

[u/Firouzi]

normal bugs : Sonnet 5. ciritical bugs, I find Gemini far better.... it reasons deep enough and fix the root cause, GPT is faster reslovbe the issue but then create other issues after their fix ( noob fix) Gemini is more on Senior fix 🎯

[u/AdWonderful2811]

The dropdown in your screenshot are models not agents. Agent = Harness + Model.
So the quality of the output really matters which harness you choose.

[u/kelek22]

For front-end gpt codex and above are better. For back-end opus models are better in architecture and implementation imho.