Ask HN: What coding agents are you using?
19 comments
Claude Code and Codex are my daily drivers, and I often run them side by side on the same task to compare. For me Claude Code gets something working faster, but I burn the 5h quota on the $200 Max plan really fast. Codex I tend to trust a bit more on the careful diffs. The bigger change for me wasn't the tool though, it was writing a spec doc first (features/UX, technical, language-specific) before either agent touches code, then reviewing every diff. I still set up a lot of the harness by hand. How are people automating worktrees and parallel sessions?
Letta Code - It’s a much more coworker-like experience because it can learn, but also performs very well for coding, and the harness can be extended like pi
(disclaimer: I work on Letta Code)
(disclaimer: I work on Letta Code)
Doesn't the memory in letta become very expensive considering that LLMs are stateless (the context of the memory needs to be sent).
Shameless plug, I use Codex to build my coding agent VT Code (https://github.com/vinhnx/vtcode)
Is it true that there is not much difference between free and affordable models? And, unless you are spending $2000 per month, you are not really leveraging the industry standard coding agents.
Anecdotally, yes there is definitely a difference. Even e.g. Haiku (cheapest Anthropic model) vs gpt-oss-120b had a big difference in quality and syntax issues when I was testing them for DSL generation. Granted, that's a little different from generating a popular language with lots of training data, but you could consider it a proxy for "learning" new concepts outside of training.
Both CC (mostly pet projects and automation), and Cursor (mostly at work, because I still read the code, interact with python notebooks, etc.)
Claude code and open code with various models. Codex thrown in for good measure here or there and when I hit limits elsewhere
claude code in CLI with codex CLI plugin.
/remote-env when I'm out
-- Codex app for more research heavy / data science heavy tasks. codex ios already built into chatgpt app.
-- Codex app for more research heavy / data science heavy tasks. codex ios already built into chatgpt app.
claude code mostly. run a clawmetry tab alongside so i can see what's actually happening across sessions, especially for longer tasks.
multiple pi.dev with opencode.ai/go plan; inside herdr muxer.
works nicely at a very agreeable cost ( USD$10/mo ).
works nicely at a very agreeable cost ( USD$10/mo ).
Used Antigravity, but now Claude Code
Aiden, Claude Code
pi.dev,I like minimalism
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What coding agents are everyone using, or do you have any recommendations? New tools are coming out like waves now.