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AI agents are great at writing code but blind at runtime. They guess, print, and waste tokens.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):LLDB, Delve, PDB, JDB, node inspect, rdbg, phpdbg, GHCi, etc.
Profilers too (perf, pprof, cProfile, Valgrind…)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).Works with Claude & Codex (probably works on others but didn't try them)Quick start:
```
curl -sSf https://raw.githubusercontent.com/redknightlois/dbg/main/ins... | sh
dbg --init claude (for claude)
```Then just say: “use dbg to debug the crash in src/foo.rs”Docs: https://redknightlois.github.io/dbg/
GitHub (MIT Licensed): https://github.com/redknightlois/dbgWould love feedback from anyone building agents. What languages or features are you missing most? Ping me at @federicolois on X or open issues.
Show HN: Dbg – One CLI debugger for every language (AI-agent ready)
A universal debugger and profiler that provides AI agents with runtime visibility, addressing their current "blindness" and inefficiency in debugging code across diverse programming languages.
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AI Executive Synthesis
A universal debugger and profiler that provides AI agents with runtime visibility, addressing their current "blindness" and inefficiency in debugging code across diverse programming languages.
The integration of AI agents into the software development lifecycle is accelerating, yet a critical gap exists in their ability to debug code at runtime. Dbg directly addresses this by providing a unified CLI debugger and profiler across 15+ languages, specifically designed for AI agent interaction. This tool transforms AI agents from code generators to comprehensive problem solvers, enabling them to diagnose and resolve runtime issues efficiently, reducing token waste and improving development cycles. The inclusion of GPU profiling further extends its utility for performance-critical applications. Dbg positions itself as an essential infrastructure component for the next generation of AI-powered development environments, bridging the gap between code generation and operational reliability.
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What is Dbg – One CLI debugger for every language (AI-agent ready)?
Dbg – One CLI debugger for every language (AI-agent ready) is analyzed by our AI as: A universal debugger and profiler that provides AI agents with runtime visibility, addressing their current "blindness" and inefficiency in debugging code across diverse programming languages.. It focuses on The integration of AI agents into the software development lifecycle is accelerating, yet a critical gap exists in their ability to debug code at r...
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The initial public indexing or launch date for Dbg – One CLI debugger for every language (AI-agent ready) within our tracked developer communities was recorded on April 14, 2026.
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Which technical categories define Dbg – One CLI debugger for every language (AI-agent ready)?
Based on metadata extraction, Dbg – One CLI debugger for every language (AI-agent ready) is categorized under topics such as: CLI debugger, AI-agent ready, backend based, 15+ languages.
Are there open-source alternatives related to Dbg – One CLI debugger for every language (AI-agent ready)?
Yes, the GitHub ecosystem contains correlated projects. For example, a repository named jackwener/opencli shares highly similar architectural descriptions and topics.
How does the creator describe Dbg – One CLI debugger for every language (AI-agent ready)?
The original author or development team describes the product as follows: "AI agents are great at writing code but blind at runtime. They guess, print, and waste tokens.I built dbg to give them a real debugger experience. Since it is backend based with the few I implement..."
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