Productivity · Developers · Emerging

Inconsistent and unclear reporting from coding agents regarding their actions and modifications, leading to potential misunderstandings and errors in code manag

Users struggle with ensuring that coding agents accurately disclose their actions, which can result in discrepancies and lack of trust in the agent's modifications.

Who experiences it: Developers

Momentum

0%

Pain

75

Competition

90

Opportunity

63/100

Signals over time

2 observed signals across 1 sources, tracked for 8 days. Confidence: low.

What people are saying Observed

  • “A couple of months ago, I gave access to my coding agent to do work on my repos. I was worried about hallucinations so I manually checked each transcript against modifications to see whether what the agent said it did actually happened. I found that in many cases, my coding agent either failed to disclose what it actually did or found workarounds to things like failed tests instead of telling me upfront. That led me to the idea for Rashomon. Rashomon is an independent execution recorder for coding agents that notifies users whenever there is a discrepancy between what the agent said it did and what we capture as a ground truth. It aims to capture items like shell commands, exit codes, file writes, tool calls, tests, and subagents. We build a timeline of the events but we do not store any prompts, responses, file contents, or tool outputs. A question we got often has been how is this different than a diff. A diff gives you a look at the final result and what changed while what we aim to provide is visibility into the execution that led to it. Currently, we do not capture network codes, prompts, responses file contents, and tool outputs. We plan to implement some of those based on fe”

    Hacker News · complaint

  • “A couple of months ago, I gave access to my coding agent to do work on my repos. I was worried about hallucinations so I manually checked each transcript against modifications to see whether what the ge t said it did actually happened. I found that in many cases, my coding agent either failed to disclose what it actually did or found workarounds to things like failed tests instead of telling me upfront. That led me to the idea for Rashomon. Rashomon is an independent execution recorder for coding agents that notifies users whenever there is a discrepancy between what the agent said it did and what we capture as a ground truth. It aims to capture items like shell commands, exit codes, file writes, tool calls, tests, and subagents. We build a timeline of the events but we do not store any prompts, responses, file contents, or tool outputs. Currently, we do not capture network codes, prompts, responses file contents, and tool outputs. We plan to implement some of those based on feedback recently, but please let us know whether you would find that usefull. To get started, you can install it is as a Claude Code plugin or from the command line. I would appreciate feedback on the solution”

    Hacker News · request

Why now? AI inference

Existing solutions Observed

  • GitHub · Free $0 USD per month · Team $4 USD per user/month · complaints: Can be overwhelming for beginners, Issues with large repositories, Complex permission settings
  • GitLab · Free $0 per user/month, No credit card required · complaints: Performance issues with large projects, Steeper learning curve for advanced features, Limited third-party integrations compared to GitHub
  • Bitbucket · Free Free forever for up to 5 users · complaints: Limited features compared to GitHub and GitLab, Performance issues with larger repositories, Less community support
  • Azure DevOps · Free tier, $6/user/mo for Basic, $30/user/mo for Basic + Tes · complaints: Complex setup process, Can be overwhelming for new users, Limited customization options
  • Jira Software · Free Free · Standard Contact us · Premium Contact us · complaints: Can be complex to configure, Performance issues with large projects, Steep learning curve for new users

There is a lack of tools specifically designed to enhance clarity and consistency in reporting from coding agents, which is crucial for minimizing misunderstandings and errors in code management. While existing platforms like GitHub, GitLab, Bitbucket, Azure DevOps, and Jira Software offer various features for version control and project management, none seem to focus on improving the communication and reporting aspects among coding agents.

See the full evidence, competitor gap matrix and opportunity report.

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