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AI harness for C/C++ with GDB, sanitizers, perf and compile tools

Details

External ID
48805309
Source
HN
Company
—
Product
AI harness for C/C++ with GDB, sanitizers, perf and compile tools
Website domain
byteask.ai
Launched
July 6, 2026
Cohort
—
Upvotes
5
Upvotes percentile
0.1081242532855436
Tags
—
Fetched at
Sept. 7, 2026, 9:26 p.m.
Updated at
Sept. 7, 2026, 9:26 p.m.

Description

hey guys, i wanted to show one of my side projects.The idea is a coding harness (independent of models) natively designed for C/C++ developer workflows.I'm a C++ dev and do not find claude code work well with C++ toolchain like gdb and perf. The current version has integrations for gdb, clang-tidy, cppcheck, sanitizers, perf, benchmarking, compile DB navigation, Godbolt, symbolization, binary inspection, and decompilation.It supports Anthropic, OpenAI, Gemini, and self-hosted models. There are editor workflows for VS Code, CLion, emacs, neovim, and cursor.

Enrichment

Theme
Claude integrations and coding agents
Vertical
Horizontal
Function
Dev tools
Audience
Developer
AI stance
AI feature
Project type
Commercial product
Normalized one-liner
ai tools for c and c++ development
Manually corrected
False

Could you build this?

Partial The terminal CLI and LLM integration are simple, but reliably driving live GDB sessions via ptrace/GDB bridges and orchestrating low-level C++ toolchains requires deep systems work.

What it would actually take: Requires a terminal harness written in Rust or Go that communicates with GDB via GDB/MI (Machine Interface) or a custom GDB Python extension over a local socket, bypassing single-tracer Linux kernel ptrace locks. It must parse compiler diagnostics, ASan/UBSan traces, and perf outputs into structured tool contexts for the LLM. Doing this safely without deadlocking processes or corrupting memory state requires deep Linux systems programming and debugging internals expertise.

Discussion

2 comments analyzed.

Competitors

Other products that read as similar to this one — 293 launches clear the similarity bar, closest 8 shown.

Attention rank: #264 of 294 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).

Launched 238 days after the earliest competitor.

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