Why it mattersA C or C++ codebase is where most AI coding tools still struggle. A tool that reads the compiler's own call graph has a better chance of fixing a bug.
A C, C++ or CUDA bug is where most AI coding assistants still fail. The error is far from the fix. The build flags matter. A wrong edit breaks the build days later. ByteAsk launched on Y Combinator with an AI agent built for that class of bug. YC lists its batch as Fall 2026, and the launch page showed 8 votes.
The founders are Anirudha Kulkarni and Pratyush Saini, both from IIT Delhi. Kulkarni was at Optiver, the quant trading firm. Saini led CPU-first work at ThirdAI. ByteAsk sells a cloud service, a CLI and integrations with Slack and Jira. A user hands over a ticket or a bug. ByteAsk returns a pull request with the fix compiled, tested and measured.
What ByteAsk says it does differently
ByteAsk's own description is that the agent "reads code the way your compiler does". It uses the real build configuration and the compiler's call graph instead of guessing from file names. It reads the bug's history in tickets and discussions. It runs the fix under gdb and perf to check the behaviour and speed before it writes the pull request.
The company runs the agent as a swarm of parallel workers. Each worker tries a different fix. The company says the winning fix is the one that compiles, passes the tests, and matches the performance target.
The benchmark ByteAsk ran on itself
The claim that drew the YC headline is cost. ByteAsk ran its own benchmark on 72 real C++ issues. Both ByteAsk and OpenAI's Codex CLI ran the same model, GPT-6.1 Sol. Each tool fixed 129 of 144 runs. ByteAsk says it did the work at 68 percent lower cost and used 78 percent fewer tokens.
ByteAsk's research page has a wider version of the same measurement. It says the tool used 63 to 80 percent fewer tokens. It says the cost was 59 to 70 percent less. The comparison used the same model under Codex CLI. The test covered 255 issues from 40 projects. The named projects include the Linux kernel and LLVM. ByteAsk also tested an LSP-assisted setup. It says that extra context "cost 11 percent more overall, with no clear improvement in successful fixes".
Every number here is ByteAsk's own. The company has not released its benchmark harness, and no outside lab has run the same test. Treat the 68 percent cost figure as what ByteAsk measured on 72 bugs with one model on one day.
The names on the customer list
ByteAsk's home page says "core contributors to these projects use ByteAsk". It names llama.cpp, Godot, nlohmann/json, LLVM, spdlog, fmt, simdjson, Catch2, Abseil and QuantLib. These are the maintainers of important open C and C++ projects, which is the audience the product is built for. ByteAsk has not published a customer count. These are the company's own claims, not a verified customer list.
A team working in C or C++ should put ByteAsk against Codex CLI on five of its own old bugs. A test on the team's own code is the only way to check the cost figure on a different codebase. A result in ByteAsk's favour is the reason to switch. A worse result is the reason to stay.
Source
- ByteAsk: Your AI C++ engineer, and a swarm of them, Y Combinator
- ByteAsk research, ByteAsk
- ByteAsk home, ByteAsk
This item was written by an AI system from the linked source. Reveneau is responsible for what it publishes.
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