Open source AI code review: which part is actually open
Open source AI code review describes at least five different arrangements, and the license badge on the repository tells you almost none of them. What actually decides how a review behaves is where the diff goes and which process holds it. Those two answers can be unrelated to the license file sitting at the root of the repo.
This matters more now than it did a year ago, because most of the code arriving in review was written by an agent. If the reviewer runs inside your infrastructure with your model key, the agent's diff never leaves. If the reviewer is hosted, every agent pull request ships that diff to somebody else's service, and the pace agents set means that happens far more often than it used to.
The license field on the repository is the weakest signal available
GitHub's API reports a license for a repository by reading the license file it can recognize. For kodustech/kodus-ai, that field comes back as NOASSERTION, even though the README carries an AGPLv3 badge. The reason is visible in the repo's own license file: it is a dual-license arrangement. Source outside the Enterprise Code is AGPL-3.0, while any file with .ee. in its name or inside an ee/ directory falls under a separate Kodus Enterprise Code License. That second license permits a self-hosted Community user to run the unmodified Enterprise Code needed for Community features, including code review and bring-your-own-key, in production. It does not permit modifying that code, and it does not permit using Enterprise-only features.
A single SPDX identifier cannot express that. The license field on a repo page is a convenience for scanning dependencies, and it has no way to say which directories the permissive half covers.
Two more examples from the same category. the-pr-agent/pr-agent reports MIT, and the LICENSE file confirms plain MIT. alibaba/open-code-review reports Apache-2.0 and the README states it plainly, Copyright 2026 Alibaba. Those two are the easy cases, and they are easy precisely because the whole project is under one license.
Five things teams mean when they say a reviewer is open source
The repository is the client, and the reviewer is hosted
sourcery-ai/sourcery is MIT, and the repository is genuinely open. Read the top-level contents and you find a license, a pre-commit-hooks.yaml, a write-up about building an LSP client, packaging metadata, and a demo GIF. The README's installation path for pull request reviews is adding the GitHub App, and it says the reviews use OpenAI and Anthropic models, which means the diff of the PR is sent to those providers. For private repositories the README points to a Team or Pro plan.
The code being open and the review being open are two separate facts here. If your question is whether the thing commenting on your PRs can be audited and run by you, the MIT license does not answer it. Sourcery's README is unusually direct about where the product stands: it says the goal is the kind of review you would expect from a colleague, and that they are not there yet.
Self-hostable, with a carve-out that the badge hides
Kodus is the shape most teams picture when they hear the phrase, and it still has an edge worth reading before you commit. The repository describes itself as open source, self-hosted AI code review with bring-your-own-LLM, and the docs state that all source is available to inspect, use, and improve. The self-host path is documented rather than implied: Docker on a VM you control, at least 2 CPU cores, 8 GB of RAM, and 60 GB of free disk. The CLI talks to your instance over HTTPS through KODUS_API_URL and a team key, and the documented CI shape is a JSON review with --fail-on error so the pipeline fails on findings above a threshold.
The carve-out is the .ee. split described above, and there is one operational detail that belongs in the same paragraph. A self-hosted instance sends one anonymous heartbeat per day, carrying aggregated counters and no code, names, or identifiers, and it can be turned off with KODUS_TELEMETRY_DISABLED=true. A self-hosted review tool that phones home once a day is a different posture from one that never does, and the honest version of the claim includes the phone call.
A community-maintained legacy project sitting next to the vendor's product
PR-Agent is the case that breaks the usual assumption that an open-source reviewer is the company's product. The README says outright that the repository is not the Qodo offering for open-source projects, and describes PR-Agent as an open-source, AI-powered code review agent and a community-maintained legacy project of Qodo, distinct from Qodo's primary offering. It carries 13,868 stars as of 1 November 2026, which makes it one of the largest repositories in the category.
That structure has visible costs. Releases from 0.34.2 onward publish to a new Docker Hub namespace, while older images stay at the legacy namespace as a frozen archive with nothing new pushed. The README also notes that /help_docs has been disabled since v0.36.1 pending a fix for a credential-exposure issue. If you pin an image or call a command, you are depending on a community project's release cadence, and the vendor's paid product will move on its own schedule.
A CLI that never touches your pull request
alibaba/open-code-review is Apache-2.0 and installs from npm as @alibaba-group/open-code-review, giving you an ocr command. You configure a provider and a model, then run ocr review against staged changes, a branch range, or a single commit, or ocr scan over whole files where there is no useful diff. There is no app to install on the forge and no hosted review step, which means the review is a step in your pipeline that you own end to end.
It also publishes a benchmark with a method attached, which is rare enough in this category to be worth naming. The README describes a set built from 50 popular open-source repositories, 200 real pull requests, and 10 programming languages, cross-validated by more than 80 senior engineers into 1,505 annotated ground-truth issues, and links the AACR-Bench dataset on Hugging Face. The dataset description lists 2,145 review comments, made up of 1,505 expert-verified correct comments and 640 incorrect ones. The README also reports the result that goes against the vendor interest: recall is lower than a general-purpose agent's, described as a deliberate trade in favor of precision.
A published dataset you can inspect is the thing that separates a benchmark from a claim. When a tool reports a precision number with no corpus behind it, there is nothing to check.
A GitHub Action where you inherit the security posture
Anthropic's claude-code-security-review is MIT and runs as a GitHub Action on the PR diff, posting findings as comments, with a default model and a 20-minute analysis timeout. The repository's security section says the action is not hardened against prompt injection attacks and should only be used to review trusted pull requests, and recommends configuring the repository to require approval for all external contributors.
That is the right disclosure, and it is also the part teams skip. Running the reviewer yourself does not remove the fact that the reviewer reads a diff, and a diff is attacker-controlled text whenever an outside contributor can open a PR. Owning the infrastructure changes who holds the data. It does not change what the model is being asked to trust.
Free for open source projects is a different thing again
CodeRabbit's OSS plan gives public repositories Team features with no paid subscription, and its review limits vary by repository star count. Nothing about that is open source software. The company's code is not published, the reviews run on CodeRabbit's infrastructure, and the free tier is priced against your project's popularity rather than released under a license.
The distinction is easy to blur because both arrangements end with a maintainer paying nothing. One of them means you can read and run the code. The other means you were granted free usage of a service, on terms that can change. If you are comparing hosted reviewers and want to know what a free arrangement really includes, the tier boundaries matter more than the price of zero, which is the same question I looked at in what the free tier of a hosted reviewer actually covers.
For contrast, Copilot code review is closed and hosted, and its defaults are documented in GitHub's own instructions: Copilot leaves a Comment review by default, which does not count toward required approvals, and approvals are off by default at the enterprise, organization, and repository levels. There is no repo to read and no license to check, so the useful questions move to configuration, which is the territory covered in what the platform decides for you.
The five shapes side by side
| Project | What the repository contains | License covering the review path | Where the diff goes | What you run yourself |
| - | - | - | - | - |
| Sourcery | Editor client, pre-commit hook, packaging | MIT for the repo; hosted service for PR reviews | To OpenAI and Anthropic through Sourcery | The client, not the reviewer |
| Kodus | The reviewer, self-host deployment, CLI | AGPL-3.0, with .ee. files under a separate Enterprise Code License | To the model provider you key, or to your own instance | The instance, the model key, the CI step |
| PR-Agent | The reviewer, actions, CLI, configuration | MIT | To whichever model you configure | The action or container, on a community release cadence |
| Alibaba Open Code Review | A CLI with no forge integration | Apache-2.0 | To the provider endpoint you configure | Everything, including when it runs |
| Anthropic security review | A GitHub Action for security findings | MIT | To Anthropic's API on each run | The action, and the injection risk with it |
What to check before you call a reviewer open source
Read the license file, not the badge, and check whether it is one license or a split with a directory-based carve-out. Then open the README and look for the sentence that says what the project is not, because vendors write those sentences to stop a specific misunderstanding, and that misunderstanding is usually the one you are about to have. Then trace the diff: which endpoint receives it, whose key is attached, and whether the review happens in a process you control. Finally, run the install instructions once on a throwaway repository and see what the pipeline actually needs. The npm package, the container namespace, the required API key, and the disabled command are all visible before you commit a team to it.
The reason to do this before adoption rather than after is volume. An agent-authored change is still a diff, and the reviewer reads it the same way. Choosing a self-hosted reviewer means the increasing number of those diffs stays inside your network boundary, and the trade is that you now operate the review path, which has its own real cost. Choosing a hosted reviewer means the operational burden is somebody else's, and the diff leaves on every push. Both are defensible, and the license badge does not tell you which one you picked.
Two smaller checks belong in the same pass, because they decide how much the reviewer can enforce once it is running. Confirm which rule files it actually reads from your repository, since a reviewer that ignores your conventions will produce findings your team learns to dismiss, which is the problem behind which rule files a reviewer actually reads. And price the self-hosted path honestly, since the hardware floor and the operational time are the parts that get left out of the comparison, which is what the self-hosting cost is about.
Топ-5 опенсорс месяца: VoiceStudio, Hindsight, Open Code Review от Alibaba, ECC и Paperclip #shorts
ОПИСАНИЕ
Пять самых быстрорастущих open-source проектов месяца по GitHub Trending (monthly, 15.09–15.10.2026).
#1 debpalash/VoiceStudio — локальная альтернатива ElevenLabs: клонирование голоса, дубляж, аудиокниги, 646 языков. Python, AGPL-3.0. +37 181★
debpalash/VoiceStudio
#2 vectorize-io/hindsight — память агента, которая учится: retain, recall, reflect; один Docker-контейнер. Python, MIT. +26 274★
vectorize-io/hindsight
#3 alibaba/open-code-review — ИИ-ревью кода: файлы и правила выбирает код, модели остаётся суждение. Go, Apache-2.0. +23 047★
alibaba/open-code-review
#4 affaan-m/ECC — обвязка для агентов: 50 агентов, 185 навыков, хуки, память, проверки безопасности. JavaScript, MIT. +22 689★
affaan-m/ECC
#5 paperclipai/paperclip — «компания» из ИИ-агентов: цель, роли, бюджеты и согласования. TypeScript, MIT. +21 643★
paperclipai/paperclip
Таймкоды:
0:00 Топ-5 месяца
0:08 #5 Paperclip
0:22 #4 ECC
0:35 #3 Open Code Review
0:46 #2 Hindsight
1:00 #1 VoiceStudio
1:12 Итоги
Звёзды за месяц — GitHub Trending (monthly) на 15.10.2026.
Шорт подготовил Василий Киселёв, R&D BP Lab.
#опенсорс #github #ииагенты #opensource #aiagents #shorts
3 likes · 2 comments · 481 views
10 Repos de GitHub que Tienes que Probar (Los Investigué de Verdad)
#github #inteligenciaartificial #claudecode
Los 10 repositorios de GitHub que más están pegando esta semana, investigados de verdad: REA, HyperFrames, ArtCraft, VoiceStudio, Matt Pocock Skills, text-to-cad, diagram-design, Open Code Review, Hindsight y agent-skills. Te cuento qué hace cada uno, cuál es su licencia, qué datos mandan a internet y qué riesgos tienen, que es lo que el README no te dice. Instalé y probé varios; te muestro lo que funcionó y lo que no.
💼 Si tienes un negocio y quieres que la inteligencia artificial trabaje para ti —primero ordenando lo que hoy se traba y después automatizando—, solicita tu diagnóstico aquí:
landing.prosperitymomentum.org
Sígueme en Instagram: instagram.com
Mi video clonando TikTok con REA:youtu.be
Los 10 repositorios:
1. REA: morluto/rea · Guías: rea.tools
2. HyperFrames: heygen-com/hyperframes
3. ArtCraft: storytold/artcraft
4. VoiceStudio: debpalash/VoiceStudio
5. Matt Pocock Skills: mattpocock/skills
6. text-to-cad: earthtojake/text-to-cad
7. diagram-design: cathrynlavery/diagram-design
8. Open Code Review: alibaba/open-code-review
9. Hindsight: vectorize-io/hindsight
10. agent-skills: addyosmani/agent-skills
📌 Video Breakdown
00:00 - Un repo sumó 200 mil estrellas en 7 días
00:16 - Cómo elegí estos 10: licencia, qué mandan a internet y riesgos
00:33 - 1. REA: tu agente mira cualquier app por dentro
00:44 - Qué hacés con REA: entender una función, copiarla, analizar binarios
01:05 - Cloné TikTok entero con REA · ojo con los repos falsos
01:24 - 2. HyperFrames: escribís un HTML y te sale un video
01:40 - Qué hacés con HyperFrames: intros, piezas en lote y motion graphics
02:08 - 3. ArtCraft: armás la escena 3D y recién después generás
02:20 - Storyboard sin que cambie el personaje y una imagen vuelta objeto 3D
02:35 - 4. VoiceStudio: clonás tu voz gratis en tu propia computadora
02:50 - Qué hacés con VoiceStudio: doblar, narrar un audiolibro, dictar
03:08 - 5. Matt Pocock Skills: el repo con más estrellas de la lista
03:21 - Skills chicas que combinás: vos armás el proceso, no te lo imponen
03:43 - 6. text-to-cad: tu agente diseña piezas 3D para imprimir o CNC
03:58 - Qué hacés con text-to-cad: repuestos, planos y chequear fabricación
04:08 - 7. diagram-design: 45 tipos de diagrama en un solo archivo HTML
04:19 - Qué hacés con diagram-design: arquitectura, tu marca, PNG o SVG
04:38 - 8. Open Code Review: el revisor interno de Alibaba
04:53 - Gasta 1/9 de los tokens, pero admite que encuentra menos errores
05:13 - 9. Hindsight: memoria que aprende y recuerda tus preferencias
05:32 - 10. agent-skills de Addy Osmani: 9 comandos, el ciclo completo
05:43 - Qué hacés con agent-skills: especificar, partir en tareas, control de calidad
06:01 - El 5 vs el 10: uno te impone el proceso, el otro te deja armarlo
06:17 - Cuál te conviene según lo que hacés
06:34 - Contame cuál se aplica a tu caso
Además de ver este video completo, te recomiendo realizar las siguientes búsquedas en YouTube:
👉🏼 Repositorios de GitHub
👉🏼 Mejores repos de GitHub
👉🏼 Repos de GitHub para Claude Code
👉🏼 Herramientas gratis de IA
👉🏼 Skills de Claude Code
👉🏼 Clonar voz con IA gratis
👉🏼 Clonar cualquier app con IA
👉🏼 Alternativas gratis a software de pago
👉🏼 Cómo usar Claude Code
👉🏼 Agentes de IA
Las estrellas y los datos son del 14 de octubre de 2026 y cambian a diario. Cada licencia y cada riesgo salen del propio repositorio; revisa siempre los términos antes de usar algo en un producto tuyo. Instala solo desde los enlaces oficiales: hay copias falsas.
Para terminar, gracias de verdad por tomarte el tiempo de leer esto y sobre todo de ver el video completo.
Muchas gracias,Tobías.
______
Soy Tobías Simonetti, fundador de Prosperity Momentum, una agencia de Inteligencia Artificial.
#github #inteligenciaartificial #claudecode
17 likes · 6 comments · 632 views
Mentions
Open source AI code review: which part is actually open Open source AI code review describes at least five different arrangements, and the license badge on the repository tells you almost none of them. What actually decides how a review behaves is where the diff goes and which process holds it. Those two answers can be unrelated to the license file sitting at the root of the repo. This matters more now than it did a year ago, because most of the code arriving in review was written by an agent. If the reviewer runs inside your infrastructure with your model key, the agent's diff never leaves. If the reviewer is hosted, every agent pull request ships that diff to somebody else's service, and the pace agents set means that happens far more often than it used to. The license field on the repository is the weakest signal available GitHub's API reports a license for a repository by reading the license file it can recognize. For kodustech/kodus-ai, that field comes back as NOASSERTION, even though the README carries an AGPLv3 badge. The reason is visible in the repo's own license file: it is a dual-license arrangement. Source outside the Enterprise Code is AGPL-3.0, while any file with .ee. in its name or inside an ee/ directory falls under a separate Kodus Enterprise Code License. That second license permits a self-hosted Community user to run the unmodified Enterprise Code needed for Community features, including code review and bring-your-own-key, in production. It does not permit modifying that code, and it does not permit using Enterprise-only features. A single SPDX identifier cannot express that. The license field on a repo page is a convenience for scanning dependencies, and it has no way to say which directories the permissive half covers. Two more examples from the same category. the-pr-agent/pr-agent reports MIT, and the LICENSE file confirms plain MIT. alibaba/open-code-review reports Apache-2.0 and the README states it plainly, Copyright 2026 Alibaba. Those two are the easy cases, and they are easy precisely because the whole project is under one license. Five things teams mean when they say a reviewer is open source The repository is the client, and the reviewer is hosted sourcery-ai/sourcery is MIT, and the repository is genuinely open. Read the top-level contents and you find a license, a pre-commit-hooks.yaml, a write-up about building an LSP client, packaging metadata, and a demo GIF. The README's installation path for pull request reviews is adding the GitHub App, and it says the reviews use OpenAI and Anthropic models, which means the diff of the PR is sent to those providers. For private repositories the README points to a Team or Pro plan. The code being open and the review being open are two separate facts here. If your question is whether the thing commenting on your PRs can be audited and run by you, the MIT license does not answer it. Sourcery's README is unusually direct about where the product stands: it says the goal is the kind of review you would expect from a colleague, and that they are not there yet. Self-hostable, with a carve-out that the badge hides Kodus is the shape most teams picture when they hear the phrase, and it still has an edge worth reading before you commit. The repository describes itself as open source, self-hosted AI code review with bring-your-own-LLM, and the docs state that all source is available to inspect, use, and improve. The self-host path is documented rather than implied: Docker on a VM you control, at least 2 CPU cores, 8 GB of RAM, and 60 GB of free disk. The CLI talks to your instance over HTTPS through KODUS_API_URL and a team key, and the documented CI shape is a JSON review with --fail-on error so the pipeline fails on findings above a threshold. The carve-out is the .ee. split described above, and there is one operational detail that belongs in the same paragraph. A self-hosted instance sends one anonymous heartbeat per day, carrying aggregated counters and no code, names, or identifiers, and it can be turned off with KODUS_TELEMETRY_DISABLED=true. A self-hosted review tool that phones home once a day is a different posture from one that never does, and the honest version of the claim includes the phone call. A community-maintained legacy project sitting next to the vendor's product PR-Agent is the case that breaks the usual assumption that an open-source reviewer is the company's product. The README says outright that the repository is not the Qodo offering for open-source projects, and describes PR-Agent as an open-source, AI-powered code review agent and a community-maintained legacy project of Qodo, distinct from Qodo's primary offering. It carries 13,868 stars as of 1 November 2026, which makes it one of the largest repositories in the category. That structure has visible costs. Releases from 0.34.2 onward publish to a new Docker Hub namespace, while older images stay at the legacy namespace as a frozen archive with nothing new pushed. The README also notes that /help_docs has been disabled since v0.36.1 pending a fix for a credential-exposure issue. If you pin an image or call a command, you are depending on a community project's release cadence, and the vendor's paid product will move on its own schedule. A CLI that never touches your pull request alibaba/open-code-review is Apache-2.0 and installs from npm as @alibaba-group/open-code-review, giving you an ocr command. You configure a provider and a model, then run ocr review against staged changes, a branch range, or a single commit, or ocr scan over whole files where there is no useful diff. There is no app to install on the forge and no hosted review step, which means the review is a step in your pipeline that you own end to end. It also publishes a benchmark with a method attached, which is rare enough in this category to be worth naming. The README describes a set built from 50 popular open-source repositories, 200 real pull requests, and 10 programming languages, cross-validated by more than 80 senior engineers into 1,505 annotated ground-truth issues, and links the AACR-Bench dataset on Hugging Face. The dataset description lists 2,145 review comments, made up of 1,505 expert-verified correct comments and 640 incorrect ones. The README also reports the result that goes against the vendor interest: recall is lower than a general-purpose agent's, described as a deliberate trade in favor of precision. A published dataset you can inspect is the thing that separates a benchmark from a claim. When a tool reports a precision number with no corpus behind it, there is nothing to check. A GitHub Action where you inherit the security posture Anthropic's claude-code-security-review is MIT and runs as a GitHub Action on the PR diff, posting findings as comments, with a default model and a 20-minute analysis timeout. The repository's security section says the action is not hardened against prompt injection attacks and should only be used to review trusted pull requests, and recommends configuring the repository to require approval for all external contributors. That is the right disclosure, and it is also the part teams skip. Running the reviewer yourself does not remove the fact that the reviewer reads a diff, and a diff is attacker-controlled text whenever an outside contributor can open a PR. Owning the infrastructure changes who holds the data. It does not change what the model is being asked to trust. Free for open source projects is a different thing again CodeRabbit's OSS plan gives public repositories Team features with no paid subscription, and its review limits vary by repository star count. Nothing about that is open source software. The company's code is not published, the reviews run on CodeRabbit's infrastructure, and the free tier is priced against your project's popularity rather than released under a license. The distinction is easy to blur because both arrangements end with a maintainer paying nothing. One of them means you can read and run the code. The other means you were granted free usage of a service, on terms that can change. If you are comparing hosted reviewers and want to know what a free arrangement really includes, the tier boundaries matter more than the price of zero, which is the same question I looked at in what the free tier of a hosted reviewer actually covers. For contrast, Copilot code review is closed and hosted, and its defaults are documented in GitHub's own instructions: Copilot leaves a Comment review by default, which does not count toward required approvals, and approvals are off by default at the enterprise, organization, and repository levels. There is no repo to read and no license to check, so the useful questions move to configuration, which is the territory covered in what the platform decides for you. The five shapes side by side | Project | What the repository contains | License covering the review path | Where the diff goes | What you run yourself | | - | - | - | - | - | | Sourcery | Editor client, pre-commit hook, packaging | MIT for the repo; hosted service for PR reviews | To OpenAI and Anthropic through Sourcery | The client, not the reviewer | | Kodus | The reviewer, self-host deployment, CLI | AGPL-3.0, with .ee. files under a separate Enterprise Code License | To the model provider you key, or to your own instance | The instance, the model key, the CI step | | PR-Agent | The reviewer, actions, CLI, configuration | MIT | To whichever model you configure | The action or container, on a community release cadence | | Alibaba Open Code Review | A CLI with no forge integration | Apache-2.0 | To the provider endpoint you configure | Everything, including when it runs | | Anthropic security review | A GitHub Action for security findings | MIT | To Anthropic's API on each run | The action, and the injection risk with it | What to check before you call a reviewer open source Read the license file, not the badge, and check whether it is one license or a split with a directory-based carve-out. Then open the README and look for the sentence that says what the project is not, because vendors write those sentences to stop a specific misunderstanding, and that misunderstanding is usually the one you are about to have. Then trace the diff: which endpoint receives it, whose key is attached, and whether the review happens in a process you control. Finally, run the install instructions once on a throwaway repository and see what the pipeline actually needs. The npm package, the container namespace, the required API key, and the disabled command are all visible before you commit a team to it. The reason to do this before adoption rather than after is volume. An agent-authored change is still a diff, and the reviewer reads it the same way. Choosing a self-hosted reviewer means the increasing number of those diffs stays inside your network boundary, and the trade is that you now operate the review path, which has its own real cost. Choosing a hosted reviewer means the operational burden is somebody else's, and the diff leaves on every push. Both are defensible, and the license badge does not tell you which one you picked. Two smaller checks belong in the same pass, because they decide how much the reviewer can enforce once it is running. Confirm which rule files it actually reads from your repository, since a reviewer that ignores your conventions will produce findings your team learns to dismiss, which is the problem behind which rule files a reviewer actually reads. And price the self-hosted path honestly, since the hardware floor and the operational time are the parts that get left out of the comparison, which is what the self-hosting cost is about.
@brunopinheiroms Bacana demais! Quanto ao nome, não sei se está ciente, mas o Alibaba tem uma ferramenta com o mesmo nome: alibaba/open-code-review Enfim, não sei qual veio primeiro, mas pra tu ficar ciente da colisão de nomes pq normalmente gera confusão nas comunidades xD
Claude Code 的 Code Review，Token 浪费可能比想象中严重！ 阿里刚开源的 Open Code Review，官方测试只消耗 1/9 的 Token，精确率和 F1 反而更高。 秘诀很简单：文件选择、规则匹配、上下文组织交给代码，AI 只负责判断。 省 Token 的终极秘诀，是别什么事都让 AI 干。 alibaba/open-code-review
Топ-5 опенсорс месяца: VoiceStudio, Hindsight, Open Code Review от Alibaba, ECC и Paperclip #shorts ОПИСАНИЕ Пять самых быстрорастущих open-source проектов месяца по GitHub Trending (monthly, 15.09–15.10.2026). #1 debpalash/VoiceStudio — локальная альтернатива ElevenLabs: клонирование голоса, дубляж, аудиокниги, 646 языков. Python, AGPL-3.0. +37 181★ debpalash/VoiceStudio #2 vectorize-io/hindsight — память агента, которая учится: retain, recall, reflect; один Docker-контейнер. Python, MIT. +26 274★ vectorize-io/hindsight #3 alibaba/open-code-review — ИИ-ревью кода: файлы и правила выбирает код, модели остаётся суждение. Go, Apache-2.0. +23 047★ alibaba/open-code-review #4 affaan-m/ECC — обвязка для агентов: 50 агентов, 185 навыков, хуки, память, проверки безопасности. JavaScript, MIT. +22 689★ affaan-m/ECC #5 paperclipai/paperclip — «компания» из ИИ-агентов: цель, роли, бюджеты и согласования. TypeScript, MIT. +21 643★ paperclipai/paperclip Таймкоды: 0:00 Топ-5 месяца 0:08 #5 Paperclip 0:22 #4 ECC 0:35 #3 Open Code Review 0:46 #2 Hindsight 1:00 #1 VoiceStudio 1:12 Итоги Звёзды за месяц — GitHub Trending (monthly) на 15.10.2026. Шорт подготовил Василий Киселёв, R&D BP Lab. #опенсорс #github #ииагенты #opensource #aiagents #shorts
open-code-review: review de IA mais preciso que o Claude Code O open-code-review da Alibaba é um CLI que lê diffs do Git e devolve comentários de review estruturados, linha por linha, via agente LLM configurável — e também audita arquivos inteiros sem diff. No benchmark com 200 PRs reais em 10 linguagens (1.505 problemas anotados), superou o Claude Code em precisão e F1 usando ~1/9 dos tokens. Trade-off assumido: recall menor, priorizando precisão sobre ruído. Exige Git ≥ 2.41 e um endpoint de LLM (ou modo de delegação). Conheça a ferramenta: alibaba/open-code-review #CodeReview #OpenCodeReview #InteligenciaArtificial #AgentesDeIA #ClaudeCode #DevOps #OpenSource #GitHub #Programacao #DeveloperTools #EngenhariaDeSoftware #Automacao
Alibaba Open-Sourced Its AI Code Reviewer: Open Code Review Alibaba open-sourced the AI code review tool it uses internally 🔍 Open Code Review: plain code handles file selection, grouping and review rules, and the AI only does the reasoning; the README measures higher accuracy than Claude Code on the same model at about 1/9 of the tokens (at the cost of missing more bugs). Install with npm; runs in GitHub Actions and GitLab CI; plugins for Claude Code, Codex and Cursor. You still need an API key for an AI model. 🔗 Repo: alibaba/open-code-review 📜 License: Apache-2.0 · ⭐ 45,448 (Oct 10, 2026) 🙏 Credit: alibaba What do you review code with? Comment below. #Shorts #OpenSource #Programming #CodeReview #AI
让 Claude Code 审代码，你付的是 9 倍冤枉钱 阿里内部审了两年代码的助手开源了 同模型下精度比 Claude Code 高，token 只要 1/9 行级评论，NPE/线程安全/XSS 全内置 npm 装完一行命令就跑，Claude Code/Cursor 插件全有 alibaba/open-code-review t.co
To try the same checks, use ocr scan --preview to verify the files, then test the review comments against boundary inputs. Source: alibaba/open-code-review #SparkX25 #CodeReview
10 Repos de GitHub que Tienes que Probar (Los Investigué de Verdad) #github #inteligenciaartificial #claudecode Los 10 repositorios de GitHub que más están pegando esta semana, investigados de verdad: REA, HyperFrames, ArtCraft, VoiceStudio, Matt Pocock Skills, text-to-cad, diagram-design, Open Code Review, Hindsight y agent-skills. Te cuento qué hace cada uno, cuál es su licencia, qué datos mandan a internet y qué riesgos tienen, que es lo que el README no te dice. Instalé y probé varios; te muestro lo que funcionó y lo que no. 💼 Si tienes un negocio y quieres que la inteligencia artificial trabaje para ti —primero ordenando lo que hoy se traba y después automatizando—, solicita tu diagnóstico aquí: landing.prosperitymomentum.org Sígueme en Instagram: instagram.com Mi video clonando TikTok con REA:youtu.be Los 10 repositorios: 1. REA: morluto/rea · Guías: rea.tools 2. HyperFrames: heygen-com/hyperframes 3. ArtCraft: storytold/artcraft 4. VoiceStudio: debpalash/VoiceStudio 5. Matt Pocock Skills: mattpocock/skills 6. text-to-cad: earthtojake/text-to-cad 7. diagram-design: cathrynlavery/diagram-design 8. Open Code Review: alibaba/open-code-review 9. Hindsight: vectorize-io/hindsight 10. agent-skills: addyosmani/agent-skills 📌 Video Breakdown 00:00 - Un repo sumó 200 mil estrellas en 7 días 00:16 - Cómo elegí estos 10: licencia, qué mandan a internet y riesgos 00:33 - 1. REA: tu agente mira cualquier app por dentro 00:44 - Qué hacés con REA: entender una función, copiarla, analizar binarios 01:05 - Cloné TikTok entero con REA · ojo con los repos falsos 01:24 - 2. HyperFrames: escribís un HTML y te sale un video 01:40 - Qué hacés con HyperFrames: intros, piezas en lote y motion graphics 02:08 - 3. ArtCraft: armás la escena 3D y recién después generás 02:20 - Storyboard sin que cambie el personaje y una imagen vuelta objeto 3D 02:35 - 4. VoiceStudio: clonás tu voz gratis en tu propia computadora 02:50 - Qué hacés con VoiceStudio: doblar, narrar un audiolibro, dictar 03:08 - 5. Matt Pocock Skills: el repo con más estrellas de la lista 03:21 - Skills chicas que combinás: vos armás el proceso, no te lo imponen 03:43 - 6. text-to-cad: tu agente diseña piezas 3D para imprimir o CNC 03:58 - Qué hacés con text-to-cad: repuestos, planos y chequear fabricación 04:08 - 7. diagram-design: 45 tipos de diagrama en un solo archivo HTML 04:19 - Qué hacés con diagram-design: arquitectura, tu marca, PNG o SVG 04:38 - 8. Open Code Review: el revisor interno de Alibaba 04:53 - Gasta 1/9 de los tokens, pero admite que encuentra menos errores 05:13 - 9. Hindsight: memoria que aprende y recuerda tus preferencias 05:32 - 10. agent-skills de Addy Osmani: 9 comandos, el ciclo completo 05:43 - Qué hacés con agent-skills: especificar, partir en tareas, control de calidad 06:01 - El 5 vs el 10: uno te impone el proceso, el otro te deja armarlo 06:17 - Cuál te conviene según lo que hacés 06:34 - Contame cuál se aplica a tu caso Además de ver este video completo, te recomiendo realizar las siguientes búsquedas en YouTube: 👉🏼 Repositorios de GitHub 👉🏼 Mejores repos de GitHub 👉🏼 Repos de GitHub para Claude Code 👉🏼 Herramientas gratis de IA 👉🏼 Skills de Claude Code 👉🏼 Clonar voz con IA gratis 👉🏼 Clonar cualquier app con IA 👉🏼 Alternativas gratis a software de pago 👉🏼 Cómo usar Claude Code 👉🏼 Agentes de IA Las estrellas y los datos son del 14 de octubre de 2026 y cambian a diario. Cada licencia y cada riesgo salen del propio repositorio; revisa siempre los términos antes de usar algo en un producto tuyo. Instala solo desde los enlaces oficiales: hay copias falsas. Para terminar, gracias de verdad por tomarte el tiempo de leer esto y sobre todo de ver el video completo. Muchas gracias,Tobías. ______ Soy Tobías Simonetti, fundador de Prosperity Momentum, una agencia de Inteligencia Artificial. #github #inteligenciaartificial #claudecode
大 PR 丢给通用 coding agent 做 review，我见过它漏文件，行号还对不上。 阿里开源的 open-code-review 走另一条路：先用规则扫 NPE、XSS、线程安全，再让模型补。行级评论。硬规则打底，我更信这套。 alibaba/open-code-review