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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)
End of preview. Expand in Data Studio

Flash Coding

logitly.ai

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, or cplan

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 text block: the task. Every later user message carries only tool_result blocks, one per tool_use of the preceding assistant message.
  • Each assistant message holds one thinking block, then any mix of tool_use and text blocks in generation order. The last message closes the trace with a text block: 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 signature and no redacted_thinking: the traces are not distilled from Anthropic models.
  • Tool schemas. The trace carries the calls, not the definitions: toolset names 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 chosen and a rejected trace of the same task, used for preference training: the model learns to prefer chosen over rejected.

Characteristics

  • System prompt. Not given; it can be restored from the context fields.
  • Thinking. Every assistant message carries a thinking block, so the traces carry the complete chain of thought. At training time, a thinking block 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 thinking is not defined.
  • Error flag. is_error=true marks 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 plan mode, writing files is strictly forbidden, and /tmp is 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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