id stringlengths 11 35 | mode stringclasses 3
values | toolset listlengths 1 5 | workdir stringlengths 13 38 | init_md stringlengths 0 45.7k | messages listlengths 4 330 |
|---|---|---|---|---|---|
grpc-1201944083 | plan | [
"edit",
"glob",
"grep",
"read",
"write"
] | /home/rossi882/grpc | # gRPC Repository Agent Guide
This document provides essential information for coding agents operating in the gRPC repository.
## Project Overview
gRPC is a modern, open-source, high-performance RPC framework. This repository contains source code for gRPC libraries implemented in multiple languages, all built on top... | [
{
"role": "user",
"content": [
{
"text": "Fix the format string in SecurityFrameHandler::TestOnlyDebugString() to use the correct format specifier for the payload length field.",
"type": "text"
}
]
},
{
"role": "assistant",
"content": [
{
"thinking":... |
airflow-3747320314 | work | [
"bash",
"edit",
"read",
"write"
] | /home/cluster/airflow | [
{
"role": "user",
"content": [
{
"text": "The tutorial and FAQ don't clearly explain that `schedule_interval` must be set directly on the DAG object and cannot be specified in `default_args`. Users who try to set `schedule_interval` in `default_args` get unexpected behavior because task instan... | |
vscode-3898637169 | work | [
"edit",
"glob",
"grep",
"read",
"write"
] | /home/chef/vscode | "# VS Code (Code - OSS) Agent Documentation\n\n## Project Overview\n\nThis is the **Visual Studio Co(...TRUNCATED) | [{"role":"user","content":[{"text":"使用螢幕閱讀器搭配快速開啟對話框時,僅會朗(...TRUNCATED) |
linux-1613442693 | plan | [
"edit",
"glob",
"grep",
"read",
"write"
] | /home/supervisor/linux | [{"role":"user","content":[{"text":"Improve the RPC debugging output in rpc_show_tasks() to display (...TRUNCATED) | |
vault-1518863370 | work | [
"bash",
"edit",
"read",
"write"
] | /home/security/vault | "# Agent Documentation for HashiCorp Vault\n\n## Project Overview\n\nHashiCorp Vault is a secrets ma(...TRUNCATED) | [{"role":"user","content":[{"text":"Activer la propagation du contexte d'ID de snapshot via la commu(...TRUNCATED) |
linux-3948999277 | work | [
"bash",
"edit",
"read",
"write"
] | /home/puppet/linux | "# Linux Kernel Source Repository\n\nThis is the Linux kernel source code (version 4.6-rc2). This do(...TRUNCATED) | [{"role":"user","content":[{"text":"Обновите файл MAINTAINERS, чтобы отразит(...TRUNCATED) |
istio-4094291126 | plan | [
"edit",
"glob",
"grep",
"read",
"write"
] | /home/supervisor/istio | "# Istio Repository Agent Guide\n\nThis document provides guidance for coding agents operating in th(...TRUNCATED) | [{"role":"user","content":[{"text":"istioctl 을 통해 설치할 때 `variant` 와 같은 전역 (...TRUNCATED) |
openvpn-2869823714 | work | [
"edit",
"glob",
"grep",
"read",
"write"
] | /home/dlamini120/openvpn | "# OpenVPN Codebase Documentation\n\n## Project Overview\n\n**OpenVPN** is a secure tunneling daemon(...TRUNCATED) | [{"role":"user","content":[{"text":"El script OCSP_check a veces informa incorrectamente éxito incl(...TRUNCATED) |
duckdb-272606332 | work | [
"edit",
"glob",
"grep",
"read",
"write"
] | /home/artem/duckdb | "# DuckDB Development Guide\n\nDuckDB is a high-performance analytical database system. This documen(...TRUNCATED) | [{"role":"user","content":[{"text":"Mettre à jour la fonction de scan multi-fichiers pour utiliser (...TRUNCATED) |
rust-2366683431 | plan | [
"bash"
] | /home/centos/rust | "# Miri Development Guide\n\nThis document provides context for future coding agents working on the (...TRUNCATED) | [{"role":"user","content":[{"text":"The threadleak_ignored test is failing on Windows because Miri d(...TRUNCATED) |
Flash Coding
Uploading these datasets to proprietary AI (e.g., asking a question that includes them) can get your account suspended: the AI vendor can misclassify the chain of thought in these records as reverse engineering or duplicating model outputs.
Provider: logitly.ai - Agentic data you can trust
Flash Coding is a dataset of agentic coding traces: an AI coding agent working on tasks in real source repositories.
Every trace is produced under a controlled runtime:
- Sandboxed environment, pinned repository, fixed working directory
- A restricted toolset and operating mode:
work,plan, orcplan
An automated verification protocol validates every record before it enters the dataset.
Read the full specification: specification.pdf.
The dataset has two parts that share a single record schema:
| Part | Content | Training method |
|---|---|---|
| SFT | One demonstration trace per task | Supervised fine-tuning |
| DPO | A chosen and a rejected trace of the same task | Direct preference optimization |
Trace Format
A trace is a list of messages in the style of the Anthropic Messages API: each message has a role (user or assistant) and a content, a list of typed blocks. Messages strictly alternate between the two roles, starting with user and ending with assistant.
| Block | Content |
|---|---|
text |
The task in the first user message; the assistant's narration between tool calls, or the final summary. |
thinking |
The agent's private reasoning for the turn. Plain text, never encrypted or summarized. |
tool_use |
A request to run one tool from toolset; input is a JSON object. |
tool_result |
The outcome of one tool_use, matched by id; is_error marks a failed call. |
Fixed shapes:
- The first user message opens with one
textblock: the task. Every later user message carries onlytool_resultblocks, one pertool_useof the preceding assistant message. - Each assistant message holds one
thinkingblock, then any mix oftool_useandtextblocks in generation order. The last message closes the trace with atextblock: a summary written for the user.
What a trace does not contain:
- System prompt. Not recorded: the trace begins with the task itself.
- Media. The four block types above are the only kinds; there are no image or document blocks.
- Not distillation. No
signatureand noredacted_thinking: the traces are not distilled from Anthropic models. - Tool schemas. The trace carries the calls, not the definitions:
toolsetnames the tools.
Tools
| Tool | Description |
|---|---|
glob |
Match paths against a glob pattern. |
grep |
Search file contents using regex. |
read |
Read contents from a file. |
write |
Write contents to a file, creating or overwriting it entirely. |
edit |
Replace a specific string in a file with new content. |
bash |
Execute a shell command. |
Usage
- SFT: each record carries a single trace, used for supervised training / fine-tuning.
- DPO: each record carries a
chosenand arejectedtrace of the same task, used for preference training: the model learns to preferchosenoverrejected.
Characteristics
- System prompt. Not given; it can be restored from the context fields.
- Thinking. Every assistant message carries a
thinkingblock, so the traces carry the complete chain of thought. At training time, athinkingblock can be dropped when it is short, so the same traces also serve adaptive thinking. - Language. Tasks are written in multiple languages. In a positive trace, the assistant replies in the task's language; the language of
thinkingis not defined. - Error flag.
is_error=truemarks a call that did not exit 0, which can be the ordinary outcome of a call. Keeping these results is deliberate: the model learns to recover from failures over long-horizon work. - Plan mode. In
planmode, writing files is strictly forbidden, and/tmpis not writable either; the one exception is/dev/null. The mode gates use, not existence: the toolset is the same in every mode.
Evaluation
Flash Coding is training data: it carries no scores and no task-success labels, so the effect of training on it cannot be read off the data itself. Measure the effect on external benchmarks; we recommend DeepSWE and Terminal-Bench. The dataset shares no tasks with either benchmark: zero overlap, zero contamination.
Contact
Need a dataset tailored to your tasks? Email research@logitly.ai
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