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Show HN: Dbg – One CLI debugger for every language (AI-agent ready)
AI agents are great at writing code but blind at runtime. They guess, print, and waste tokens.<p>I built dbg to give them a real debugger experience. Since it is backend based with the few I implemented (still at basic level) it can support 15+ languages with one simple CLI (still some work needed but it is functional as it is):<p>LLDB, Delve, PDB, JDB, node inspect, rdbg, phpdbg, GHCi, etc. Profilers too (perf, pprof, cProfile, Valgrind…)<p>I also added GPU profiling via `gdbg` (CUDA, PyTorch, Triton kernels). It auto-dispatches and shares the same unified interface. (Planning to bring those advanced concepts back to the main dbg).<p>Works with Claude & Codex (probably works on others but didn't try them)<p>Quick start: ``` curl -sSf <a href="https://raw.githubusercontent.com/redknightlois/dbg/main/install.sh" rel="nofollow">https://raw.githubusercontent.com/redknightlois/dbg/main/ins...</a> | sh dbg --init claude (for claude) ```<p>Then just say: “use dbg to debug the crash in src/foo.rs”<p>Docs: <a href="https://redknightlois.github.io/dbg/" rel="nofollow">https://redknightlois.github.io/dbg/</a> GitHub (MIT Licensed): <a href="https://github.com/redknightlois/dbg" rel="nofollow">https://github.com/redknightlois/dbg</a><p>Would love feedback from anyone building agents. What languages or features are you missing most? Ping me at @federicolois on X or open issues.
Dbg solves a critical bottleneck for the rapidly growing AI agent market by providing runtime visibility, which is essential for reducing token waste and improving code reliability. While the technical implementation is impressive—particularly the GPU and multi-language support—the project is in its infancy with minimal traction and faces significant competition from established IDE players like Cursor and GitHub.