Show HN: Ellipsis – Automated PR reviews and bug fixes

• instructor

  21 5,699 9.8 Python

  structured outputs for llms

Hi HN, hunterbrooks and nbrad here from Ellipsis (https://www.ellipsis.dev). Ellipsis automatically reviews your PRs when opened and on each new commit. If you tag @ellipsis-dev in a comment, it can make changes to the PR (via direct commit or side PR) and answer questions, just like a human.

Demo video: https://www.youtube.com/watch?v=X61NGZpaNQA

So far, we have dozens of open source projects and companies using Ellipsis. We seem to have landed in a kind of sweet spot where there’s a good match between the current capabilities of AI tools and the actual needs of software engineers - this doesn’t replace human review, but it saves you time by catching/fixing lots of small silly stuff.

Here’s an example in the wild: https://github.com/relari-ai/continuous-eval/pull/38, where Ellipsis (1) adds a PR summary; (2) finds a bug and adds a review comment; (3) after a [human] user comments, generates a side PR with the fix; and (4) after a (human) user merges the side PR and adds another commit, re-reviews the PR and approves it

Here’s another example: https://github.com/SciPhi-AI/R2R/pull/350#pullrequestreview-..., where Ellipsis adds several comments with inline suggestions that were directly merged by the developer.

You can configure Ellipsis in natural language to enforce custom rules, style guides, or conventions. For example, here’s how the `jxnl/instructor` repo uses natural language rules to make sure that docs are kept in sync: https://github.com/jxnl/instructor/blob/main/ellipsis.yaml#L..., and here’s an example PR that Ellipsis came up with based on those rules: https://github.com/jxnl/instructor/pull/346.

Don’t worry, your code is never stored or used to train models (https://docs.ellipsis.dev/security).

Installing into your repo takes 2 clicks at https://www.ellipsis.dev. We’d really appreciate your feedback, thoughts, and ideas!

• continuous-eval

  4 337 8.7 Python

  Open-Source Evaluation for GenAI Application Pipelines

  

Hi HN, hunterbrooks and nbrad here from Ellipsis (https://www.ellipsis.dev). Ellipsis automatically reviews your PRs when opened and on each new commit. If you tag @ellipsis-dev in a comment, it can make changes to the PR (via direct commit or side PR) and answer questions, just like a human.

Demo video: https://www.youtube.com/watch?v=X61NGZpaNQA

So far, we have dozens of open source projects and companies using Ellipsis. We seem to have landed in a kind of sweet spot where there’s a good match between the current capabilities of AI tools and the actual needs of software engineers - this doesn’t replace human review, but it saves you time by catching/fixing lots of small silly stuff.

Here’s an example in the wild: https://github.com/relari-ai/continuous-eval/pull/38, where Ellipsis (1) adds a PR summary; (2) finds a bug and adds a review comment; (3) after a [human] user comments, generates a side PR with the fix; and (4) after a (human) user merges the side PR and adds another commit, re-reviews the PR and approves it

Here’s another example: https://github.com/SciPhi-AI/R2R/pull/350#pullrequestreview-..., where Ellipsis adds several comments with inline suggestions that were directly merged by the developer.

You can configure Ellipsis in natural language to enforce custom rules, style guides, or conventions. For example, here’s how the `jxnl/instructor` repo uses natural language rules to make sure that docs are kept in sync: https://github.com/jxnl/instructor/blob/main/ellipsis.yaml#L..., and here’s an example PR that Ellipsis came up with based on those rules: https://github.com/jxnl/instructor/pull/346.

Don’t worry, your code is never stored or used to train models (https://docs.ellipsis.dev/security).

Installing into your repo takes 2 clicks at https://www.ellipsis.dev. We’d really appreciate your feedback, thoughts, and ideas!

• Scout Monitoring

  www.scoutapm.com featured

  Free Django app performance insights with Scout Monitoring. Get Scout setup in minutes, and let us sweat the small stuff. A couple lines in settings.py is all you need to start monitoring your apps. Sign up for our free tier today.

  

• R2R

  4 1,264 9.7 HTML

  The framework for fast development and deployment of RAG systems.

  

Hi HN, hunterbrooks and nbrad here from Ellipsis (https://www.ellipsis.dev). Ellipsis automatically reviews your PRs when opened and on each new commit. If you tag @ellipsis-dev in a comment, it can make changes to the PR (via direct commit or side PR) and answer questions, just like a human.

Demo video: https://www.youtube.com/watch?v=X61NGZpaNQA

So far, we have dozens of open source projects and companies using Ellipsis. We seem to have landed in a kind of sweet spot where there’s a good match between the current capabilities of AI tools and the actual needs of software engineers - this doesn’t replace human review, but it saves you time by catching/fixing lots of small silly stuff.

Here’s an example in the wild: https://github.com/relari-ai/continuous-eval/pull/38, where Ellipsis (1) adds a PR summary; (2) finds a bug and adds a review comment; (3) after a [human] user comments, generates a side PR with the fix; and (4) after a (human) user merges the side PR and adds another commit, re-reviews the PR and approves it

Here’s another example: https://github.com/SciPhi-AI/R2R/pull/350#pullrequestreview-..., where Ellipsis adds several comments with inline suggestions that were directly merged by the developer.

You can configure Ellipsis in natural language to enforce custom rules, style guides, or conventions. For example, here’s how the `jxnl/instructor` repo uses natural language rules to make sure that docs are kept in sync: https://github.com/jxnl/instructor/blob/main/ellipsis.yaml#L..., and here’s an example PR that Ellipsis came up with based on those rules: https://github.com/jxnl/instructor/pull/346.

Don’t worry, your code is never stored or used to train models (https://docs.ellipsis.dev/security).

Installing into your repo takes 2 clicks at https://www.ellipsis.dev. We’d really appreciate your feedback, thoughts, and ideas!

• zep-js

  3 19 9.0 TypeScript

  Zep - Long-Term Memory for ‍AI Assistants (TypeScript Client)

  

Hmm, that searches issues, which isn't the best way to see Ellipsis' work.

Example of PR review: https://github.com/getzep/zep-js/pull/67#discussion_r1594781...

Example of issue-to-PR: https://github.com/getzep/zep/issues/316

Example of bug fix on a PR: https://github.com/jxnl/instructor/pull/546#discussion_r1544...

• zep

  16 2,054 8.8 Go

  Zep: Long-Term Memory for ‍AI Assistants.

  

Hmm, that searches issues, which isn't the best way to see Ellipsis' work.

Example of PR review: https://github.com/getzep/zep-js/pull/67#discussion_r1594781...

Example of issue-to-PR: https://github.com/getzep/zep/issues/316

Example of bug fix on a PR: https://github.com/jxnl/instructor/pull/546#discussion_r1544...

• InfluxDB

  www.influxdata.com featured

  Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

  

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