#backend — Public Fediverse posts

#Development #Analyses
Prompts are technical debt too · “Prompts are a worse form of technical debt than code.” https://ilo.im/16d2xx

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#Programming #Coding #AI #AiAgents #Maintenance #TechDebt #DevOps #WebDev #Frontend #Backend

Tired of bloated API tools?

⚡️ Consolio is a lightning-fast, project-isolated alternative to Postman and ApiDog.

​✅ Runs via npx (No install bloat)
✅ Uses only ~30MB RAM
✅ Project-isolated .consolio/ configs
✅ MIT Licensed & Free

​Stop wasting memory and start shipping. 🚀
​🔗 https://github.com/AnandPilania/consolio

​#WebDev #API #Postman #DeveloperTools #OpenSource #JavaScript #NodeJS #Coding #Backend #SoftwareDevelopment #Tech #Programming #FullStack #DevOps #Productivity #Github #FOSS #WebTools #Efficiency

redis practical guide — on 4grab.com caching, sessions, rate limiting, queues — real patterns with code. when to use redis and when not to. https://4grab.com/pay.php?id=ptag_69c4338299fa8 #prompt #redis #backend #devops

„Quasi monolithisch“: Fraunhofer Dresden verschmilzt KI-Beschleuniger und Sensoren zu Chips „wie aus einem Guss“

Dieser 3D-Druck demonstriert die „Quasi-monolithische Integration“…
#Dresden #Deutschland #Deutsch #DE #Schlagzeilen #Headlines #Nachrichten #News #Europe #Europa #EU #"Strukturwandel" #Backend #Chip-Design #Fraunhofer #Germany #Halbleiterfertigung #Innovation #Lieferketten #Mikroelektronik #Quantentechnologie #Reinraum #Sachsen #Sensorik #Wafer
https://www.europesays.com/de/1030480/

Fraunhofer-Photonikinstitut Dresden gelingt Durchbruch bei QMI-Chips. Technologie könnte Europas Backend-Lücke in Asien schließen.
https://oiger.de/2026/05/19/quasi-monolithisch-fraunhofer-dresden-verschmilzt-ki-beschleuniger-und-sensoren-zu-chips-wie-aus-einem-guss/197607
#Halbleiterfertigung #Mikroelektronik #Chip-Design #Sensorik #Wafer #Reinraum #Quantentechnologie #Lieferketten #Backend #Strukturwandel #Innovation #Dresden #Sachsen #Fraunhofer

¡Hola mundo! 🇨🇱Quiero enfatizar que nuestra misión es conectar a la comunidad de desarrolladores PHP y Laravel en Chile, salir de las pantallas y organizar los primeros encuentros presenciales (meetups) en Santiago.
Para lograrlo necesitamos de su ayuda, queremos inaugurar y levantar con fuerza la etiqueta local: #DevsChile.
Si eres programador/a, estás en Chile (o Latam) y te apasiona el desarrollo de software, te invitamos a:
1️⃣ Darle "Seguir" al hashtag #DevsChile para armar red.
2️⃣ Dejar un comentario contándonos: ¿Qué stack usas en tu día a día? (¿PHP, Laravel, Livewire, Filament, JS, Docker, etc.?).
¡Ayúdanos con un Boost 🔁 para que este mensaje llegue a más rincones del país! 🚀
#PHP #Laravel #Programacion #Santiago #Chile #Backend #WebDev

¡Hola mundo! 🇨🇱Quiero enfatizar que nuestra misión es conectar a la comunidad de desarrolladores PHP y Laravel en Chile, salir de las pantallas y organizar los primeros encuentros presenciales (meetups) en Santiago.
Para lograrlo necesitamos de su ayuda, queremos inaugurar y levantar con fuerza la etiqueta local: #DevsChile.
Si eres programador/a, estás en Chile (o Latam) y te apasiona el desarrollo de software, te invitamos a:
1️⃣ Darle "Seguir" al hashtag #DevsChile para armar red.
2️⃣ Dejar un comentario contándonos: ¿Qué stack usas en tu día a día? (¿PHP, Laravel, Livewire, Filament, JS, Docker, etc.?).
¡Ayúdanos con un Boost 🔁 para que este mensaje llegue a más rincones del país! 🚀
#PHP #Laravel #Programacion #Santiago #Chile #Backend #WebDev

¡Hola mundo! 🇨🇱Quiero enfatizar que nuestra misión es conectar a la comunidad de desarrolladores PHP y Laravel en Chile, salir de las pantallas y organizar los primeros encuentros presenciales (meetups) en Santiago.
Para lograrlo necesitamos de su ayuda, queremos inaugurar y levantar con fuerza la etiqueta local: #DevsChile.
Si eres programador/a, estás en Chile (o Latam) y te apasiona el desarrollo de software, te invitamos a:
1️⃣ Darle "Seguir" al hashtag #DevsChile para armar red.
2️⃣ Dejar un comentario contándonos: ¿Qué stack usas en tu día a día? (¿PHP, Laravel, Livewire, Filament, JS, Docker, etc.?).
¡Ayúdanos con un Boost 🔁 para que este mensaje llegue a más rincones del país! 🚀
#PHP #Laravel #Programacion #Santiago #Chile #Backend #WebDev

¡Hola mundo! 🇨🇱Quiero enfatizar que nuestra misión es conectar a la comunidad de desarrolladores PHP y Laravel en Chile, salir de las pantallas y organizar los primeros encuentros presenciales (meetups) en Santiago.
Para lograrlo necesitamos de su ayuda, queremos inaugurar y levantar con fuerza la etiqueta local: #DevsChile.
Si eres programador/a, estás en Chile (o Latam) y te apasiona el desarrollo de software, te invitamos a:
1️⃣ Darle "Seguir" al hashtag #DevsChile para armar red.
2️⃣ Dejar un comentario contándonos: ¿Qué stack usas en tu día a día? (¿PHP, Laravel, Livewire, Filament, JS, Docker, etc.?).
¡Ayúdanos con un Boost 🔁 para que este mensaje llegue a más rincones del país! 🚀
#PHP #Laravel #Programacion #Santiago #Chile #Backend #WebDev

¡Hola mundo! 🇨🇱Quiero enfatizar que nuestra misión es conectar a la comunidad de desarrolladores PHP y Laravel en Chile, salir de las pantallas y organizar los primeros encuentros presenciales (meetups) en Santiago.
Para lograrlo necesitamos de su ayuda, queremos inaugurar y levantar con fuerza la etiqueta local: #DevsChile.
Si eres programador/a, estás en Chile (o Latam) y te apasiona el desarrollo de software, te invitamos a:
1️⃣ Darle "Seguir" al hashtag #DevsChile para armar red.
2️⃣ Dejar un comentario contándonos: ¿Qué stack usas en tu día a día? (¿PHP, Laravel, Livewire, Filament, JS, Docker, etc.?).
¡Ayúdanos con un Boost 🔁 para que este mensaje llegue a más rincones del país! 🚀
#PHP #Laravel #Programacion #Santiago #Chile #Backend #WebDev

🚀 Ktor 3.5.0 is out!

More stable, faster, and better DX for Kotlin backend devs.

🔗 https://github.com/ktorio/ktor/releases/tag/3.5.0

#Kotlin #Ktor #Backend #OpenSource #KMP

🚀 Ktor 3.5.0 is out!

More stable, faster, and better DX for Kotlin backend devs.

🔗 https://github.com/ktorio/ktor/releases/tag/3.5.0

#Kotlin #Ktor #Backend #OpenSource #KMP

#Development #Explorations
AI engineer is a new role · “The agent is the easy part. The loop is the job.” https://ilo.im/16cxts

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#Business #Jobs #Skills #AI #ML #Engineering #DevOps #WebDev #Frontend #Backend

Dodgers fall to Cardinals, losing streak hits four games https://www.rawchili.com/mlb/688889/ #BackEnd #BackToBackInfieldSingle #Baseball #Cardinals #Dodgers #friday #game #inning #La #LADodgers #LADodgers #LosAngeles #LosAngelesDodgers #LosAngeles #LosAngelesDodgers #MLB #pitcher #RokiSasaki #rotation #run #sasaki #Snell #streak #sunday

Dodgers fall to Cardinals, losing streak hits four games https://www.rawchili.com/mlb/688889/ #BackEnd #BackToBackInfieldSingle #Baseball #Cardinals #Dodgers #friday #game #inning #La #LADodgers #LADodgers #LosAngeles #LosAngelesDodgers #LosAngeles #LosAngelesDodgers #MLB #pitcher #RokiSasaki #rotation #run #sasaki #Snell #streak #sunday

#Development #Relaunches
Vulnerability Garden · A living catalog of named vulnerabilities https://ilo.im/16cpnx

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#Collections #Vulnerabilities #Attacks #Exploits #Security #RSS #DevOps #WebDev #Frontend #Backend

#Development #Relaunches
Vulnerability Garden · A living catalog of named vulnerabilities https://ilo.im/16cpnx

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#Collections #Vulnerabilities #Attacks #Exploits #Security #RSS #DevOps #WebDev #Frontend #Backend

#Development #Relaunches
Vulnerability Garden · A living catalog of named vulnerabilities https://ilo.im/16cpnx

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#Collections #Vulnerabilities #Attacks #Exploits #Security #RSS #DevOps #WebDev #Frontend #Backend

#Development #Relaunches
Vulnerability Garden · A living catalog of named vulnerabilities https://ilo.im/16cpnx

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#Collections #Vulnerabilities #Attacks #Exploits #Security #RSS #DevOps #WebDev #Frontend #Backend

#Development #Approaches
Architecture of local-first web development · How to build local-first web apps in 2026 https://ilo.im/16cq0b

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#LocalFirst #WebApps #Websites #Git #JavaScript #Database #WebPerf #WebDev #Frontend #Backend

#Development #Approaches
Architecture of local-first web development · How to build local-first web apps in 2026 https://ilo.im/16cq0b

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#LocalFirst #WebApps #Websites #Git #JavaScript #Database #WebPerf #WebDev #Frontend #Backend

#Development #Approaches
Architecture of local-first web development · How to build local-first web apps in 2026 https://ilo.im/16cq0b

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#LocalFirst #WebApps #Websites #Git #JavaScript #Database #WebPerf #WebDev #Frontend #Backend

#Development #Approaches
Architecture of local-first web development · How to build local-first web apps in 2026 https://ilo.im/16cq0b

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#LocalFirst #WebApps #Websites #Git #JavaScript #Database #WebPerf #WebDev #Frontend #Backend

#Development #Analyses
How to kill the code review · What if no one has to read the code at all? https://ilo.im/16b2il

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#AI #Engineering #Coding #CodeReviews #CognitiveDebt #Specifications #Trust #WebDev #Frontend #Backend

#Development #Analyses
How to kill the code review · What if no one has to read the code at all? https://ilo.im/16b2il

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#AI #Engineering #Coding #CodeReviews #CognitiveDebt #Specifications #Trust #WebDev #Frontend #Backend

#Development #Analyses
How to kill the code review · What if no one has to read the code at all? https://ilo.im/16b2il

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#AI #Engineering #Coding #CodeReviews #CognitiveDebt #Specifications #Trust #WebDev #Frontend #Backend

#Development #Releases
What’s new in Node.js 26 · What the changes mean for developers https://ilo.im/16cttm

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#NodeJS #JavaScript #TypeScript #V8 #Temporal #APIs #WebDev #Backend

#Development #Releases
What’s new in Node.js 26 · What the changes mean for developers https://ilo.im/16cttm

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#NodeJS #JavaScript #TypeScript #V8 #Temporal #APIs #WebDev #Backend

#Development #Releases
What’s new in Node.js 26 · What the changes mean for developers https://ilo.im/16cttm

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#NodeJS #JavaScript #TypeScript #V8 #Temporal #APIs #WebDev #Backend

#Development #Releases
What’s new in Node.js 26 · What the changes mean for developers https://ilo.im/16cttm

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#NodeJS #JavaScript #TypeScript #V8 #Temporal #APIs #WebDev #Backend

#Development #Mindsets
The robots are replacing the packages · “The new question is: ‘do I want to own this problem?’” https://ilo.im/16cows

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#Programming #Coding #Packages #AI #PHP #Composer #Laravel #WebDev #Frontend #Backend

#Development #Approaches
Checking code standards on every PR · How CI can increase confidence in AI-generated code https://ilo.im/16cp6z

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#Programming #Coding #CI #AI #CodeStandards #Repositories #Workflows #WebDev #Frontend #Backend

Sharks press conference, Craig Fitzgibbon, Blayke Brailey on report for a trip, what happened, Dolphins defeat Sharks, news

Sharks coach Craig Fitzgibbon is hoping…
#NewsBeep #News #NRL #AU #Australia #backend #ballbounces #beneficialmoment #BlaykeBrailey #CraigFitzgibbon #CronullaSharks #DanielNuttall #defensiveside #gamepressconference #HerbieFarnworth #incrediblecut-out #NationalRugbyLeague #nrl #pressconference #Sharkspressconference #sports #TheFoxLeague
https://www.newsbeep.com/au/554849/

Sharks press conference, Craig Fitzgibbon, Blayke Brailey on report for a trip, what happened, Dolphins defeat Sharks, news

Sharks coach Craig Fitzgibbon is hoping…
#NewsBeep #News #NRL #AU #Australia #backend #ballbounces #beneficialmoment #BlaykeBrailey #CraigFitzgibbon #CronullaSharks #DanielNuttall #defensiveside #gamepressconference #HerbieFarnworth #incrediblecut-out #NationalRugbyLeague #nrl #pressconference #Sharkspressconference #sports #TheFoxLeague
https://www.newsbeep.com/au/554849/

#Development #Findings
I left port 22 open for 54 days · What an open SSH honeypot revealed https://ilo.im/16cte0

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#Study #SSH #Honeypot #Passwords #Vulnerability #Security #Server #DevOps #WebDev #Backend

#Development #Guides
Say goodbye to JavaScript Date · How Temporal makes things much less confusing https://ilo.im/16ch7w

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#Date #Time #Temporal #JavaScript #Browser #APIs #DevOps #WebDev #Frontend #Backend

Январский рефакторинг: 7 дней, чтобы почистить Python веб‑проект

Январь - самое удобное время разобрать завалы в проекте. Пол‑команды ещё в отпусках, pull‑реквестов меньше, product owner'ы только вспоминают, что планировали делать в этом году - можно спокойно пройтись по коду и навести порядок. В этой статье пойдёт речь о нескольких косметических действиях, которые, с одной стороны, почти не затрагивают логику программы и не вызывают ненависти у тестировщиков, а с другой - делают код чуть приятнее и дают темы для обсуждения на бэкенд‑созвонах. Мы разложим импорты, перенесём логику из роутов в контроллеры, а из контроллеров - в репозитории и сервисы, избавимся от requirements.txt в пользу нормального менеджера зависимостей и включим mypy.

https://habr.com/ru/articles/983172/

#python #backend #refactoring #architecture #linter #mypy #litestar

#Development #Pitfalls
The dangers of SSL certificates · What if automated certificate renewal fails? https://ilo.im/169g9s

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#Renewals #Certificates #SSL #TSL #HTTPS #Automation #DevOps #WebDev #Backend

#Development #Approaches
The code agent orchestra · What makes multi-agent coding work https://ilo.im/16bq3h

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#Orchestration #Engineering #AI #Agents #AGENTSmd #RalphLoops #Factories #WebDev #Frontend #Backend

archive DataHoarders

markdown formatted

A nice presentable DataHoarders archive has been created regarding the epstein files

The archive is online accessible as given in the sources matrix.

Even if the content is less interesting to you, the manner in which the front & backend end is built is quite interesting. I have interests in both backend and frontend programming & networking, thus think this is a treasure trove from both perspectives.

YMMV

When you glance through the wikipedia pages of Jeffrey you will find interesting tidbits of his nature rise and fall. When you read it multiple times you will know more than you may want to about this man, enabled by different forces to flourish in his behavour. Go in with a neutral mind and read the sources, go there if you want to know more.

The wikipedia dbase of epstein is LONG the data ammount is massive. Don't expect to even glance over it in just a few minutes.

There are 305 references in this document

When you go to this datahoarders media archive you will have a pleasant representation of the visual and printed data as released by the USA DOJ

Quotes from the archive creators:

Hey! We are two college students and we just want to share the technical part of our project because you might appreciate it. The DOJ released the Epstein files and we decided to host the entire thing ourselves and build a proper interface on top of it. Here is what the archive actually looks like.

354GB total. 160GB of raw data from the original files and 194GB of our own processed data. Around 600,000 PDF files which actually contain roughly 1,400,000 individual pages inside them since many PDFs bundle multiple pages together when you scroll down. All 3,200 videos have been converted to HLS with adaptive bitrate streaming so quality adjusts automatically to your connection the same way Netflix does it.

For the videos we ran a full audio extraction pipeline, converting video to audio MP4 and then audio to text, generating SRT subtitle files for every single video that contains spoken content. This means you can search for a word that was spoken in any video and find the exact moment it was said

For the PDFs we converted every single page to PNG and ran OCR across all 1,400,000 pages. We then used Go to run AI agents that analyze and summarize the OCR output across the documents. The search engine works through tags associated to each specific file, built on top of all that processed data.

The frontend is React Native, infrastructure runs through Cloudflare.

We also added the possibility for a user to make an anonymous account to like, add a comment and reply to others or make your own investigation post on our platform.

We are not stopping here. There is still a lot to do and we are pushing updates constantly.

Z

Naturally ffmpeg / curl are crucial tool combo's for all this conversion fetch and serve to work smoothly, but I don't need to tell you that. There are many more tools used, go in read and learn!

Sources:

https://exposingepstein.com/home

https://en.wikipedia.org/wiki/Jeffrey_Epstein

https://www.reddit.com/r/DataHoarder/comments/1shx4po/we_scraped_processed_and_now_host_the_entire_doj/

#programming #database #video #HLS #pdf #recoding #streaming #json #backend #frontend #react #srt #subtitles #FFMPEG

archive DataHoarders

markdown formatted

A nice presentable DataHoarders archive has been created regarding the epstein files

The archive is online accessible as given in the sources matrix.

Even if the content is less interesting to you, the manner in which the front & backend end is built is quite interesting. I have interests in both backend and frontend programming & networking, thus think this is a treasure trove from both perspectives.

YMMV

When you glance through the wikipedia pages of Jeffrey you will find interesting tidbits of his nature rise and fall. When you read it multiple times you will know more than you may want to about this man, enabled by different forces to flourish in his behavour. Go in with a neutral mind and read the sources, go there if you want to know more.

The wikipedia dbase of epstein is LONG the data ammount is massive. Don't expect to even glance over it in just a few minutes.

There are 305 references in this document

When you go to this datahoarders media archive you will have a pleasant representation of the visual and printed data as released by the USA DOJ

Quotes from the archive creators:

Hey! We are two college students and we just want to share the technical part of our project because you might appreciate it. The DOJ released the Epstein files and we decided to host the entire thing ourselves and build a proper interface on top of it. Here is what the archive actually looks like.

354GB total. 160GB of raw data from the original files and 194GB of our own processed data. Around 600,000 PDF files which actually contain roughly 1,400,000 individual pages inside them since many PDFs bundle multiple pages together when you scroll down. All 3,200 videos have been converted to HLS with adaptive bitrate streaming so quality adjusts automatically to your connection the same way Netflix does it.

For the videos we ran a full audio extraction pipeline, converting video to audio MP4 and then audio to text, generating SRT subtitle files for every single video that contains spoken content. This means you can search for a word that was spoken in any video and find the exact moment it was said

For the PDFs we converted every single page to PNG and ran OCR across all 1,400,000 pages. We then used Go to run AI agents that analyze and summarize the OCR output across the documents. The search engine works through tags associated to each specific file, built on top of all that processed data.

The frontend is React Native, infrastructure runs through Cloudflare.

We also added the possibility for a user to make an anonymous account to like, add a comment and reply to others or make your own investigation post on our platform.

We are not stopping here. There is still a lot to do and we are pushing updates constantly.

Z

Naturally ffmpeg / curl are crucial tool combo's for all this conversion fetch and serve to work smoothly, but I don't need to tell you that. There are many more tools used, go in read and learn!

Sources:

https://exposingepstein.com/home

https://en.wikipedia.org/wiki/Jeffrey_Epstein

https://www.reddit.com/r/DataHoarder/comments/1shx4po/we_scraped_processed_and_now_host_the_entire_doj/

#programming #database #video #HLS #pdf #recoding #streaming #json #backend #frontend #react #srt #subtitles #FFMPEG

archive DataHoarders

markdown formatted

A nice presentable DataHoarders archive has been created regarding the epstein files

The archive is online accessible as given in the sources matrix.

Even if the content is less interesting to you, the manner in which the front & backend end is built is quite interesting. I have interests in both backend and frontend programming & networking, thus think this is a treasure trove from both perspectives.

YMMV

When you glance through the wikipedia pages of Jeffrey you will find interesting tidbits of his nature rise and fall. When you read it multiple times you will know more than you may want to about this man, enabled by different forces to flourish in his behavour. Go in with a neutral mind and read the sources, go there if you want to know more.

The wikipedia dbase of epstein is LONG the data ammount is massive. Don't expect to even glance over it in just a few minutes.

There are 305 references in this document

When you go to this datahoarders media archive you will have a pleasant representation of the visual and printed data as released by the USA DOJ

Quotes from the archive creators:

Hey! We are two college students and we just want to share the technical part of our project because you might appreciate it. The DOJ released the Epstein files and we decided to host the entire thing ourselves and build a proper interface on top of it. Here is what the archive actually looks like.

354GB total. 160GB of raw data from the original files and 194GB of our own processed data. Around 600,000 PDF files which actually contain roughly 1,400,000 individual pages inside them since many PDFs bundle multiple pages together when you scroll down. All 3,200 videos have been converted to HLS with adaptive bitrate streaming so quality adjusts automatically to your connection the same way Netflix does it.

For the videos we ran a full audio extraction pipeline, converting video to audio MP4 and then audio to text, generating SRT subtitle files for every single video that contains spoken content. This means you can search for a word that was spoken in any video and find the exact moment it was said

For the PDFs we converted every single page to PNG and ran OCR across all 1,400,000 pages. We then used Go to run AI agents that analyze and summarize the OCR output across the documents. The search engine works through tags associated to each specific file, built on top of all that processed data.

The frontend is React Native, infrastructure runs through Cloudflare.

We also added the possibility for a user to make an anonymous account to like, add a comment and reply to others or make your own investigation post on our platform.

We are not stopping here. There is still a lot to do and we are pushing updates constantly.

Z

Naturally ffmpeg / curl are crucial tool combo's for all this conversion fetch and serve to work smoothly, but I don't need to tell you that. There are many more tools used, go in read and learn!

Sources:

https://exposingepstein.com/home

https://en.wikipedia.org/wiki/Jeffrey_Epstein

https://www.reddit.com/r/DataHoarder/comments/1shx4po/we_scraped_processed_and_now_host_the_entire_doj/

#programming #database #video #HLS #pdf #recoding #streaming #json #backend #frontend #react #srt #subtitles #FFMPEG

archive DataHoarders

markdown formatted

A nice presentable DataHoarders archive has been created regarding the epstein files

The archive is online accessible as given in the sources matrix.

Even if the content is less interesting to you, the manner in which the front & backend end is built is quite interesting. I have interests in both backend and frontend programming & networking, thus think this is a treasure trove from both perspectives.

YMMV

When you glance through the wikipedia pages of Jeffrey you will find interesting tidbits of his nature rise and fall. When you read it multiple times you will know more than you may want to about this man, enabled by different forces to flourish in his behavour. Go in with a neutral mind and read the sources, go there if you want to know more.

The wikipedia dbase of epstein is LONG the data ammount is massive. Don't expect to even glance over it in just a few minutes.

There are 305 references in this document

When you go to this datahoarders media archive you will have a pleasant representation of the visual and printed data as released by the USA DOJ

Quotes from the archive creators:

Hey! We are two college students and we just want to share the technical part of our project because you might appreciate it. The DOJ released the Epstein files and we decided to host the entire thing ourselves and build a proper interface on top of it. Here is what the archive actually looks like.

354GB total. 160GB of raw data from the original files and 194GB of our own processed data. Around 600,000 PDF files which actually contain roughly 1,400,000 individual pages inside them since many PDFs bundle multiple pages together when you scroll down. All 3,200 videos have been converted to HLS with adaptive bitrate streaming so quality adjusts automatically to your connection the same way Netflix does it.

For the videos we ran a full audio extraction pipeline, converting video to audio MP4 and then audio to text, generating SRT subtitle files for every single video that contains spoken content. This means you can search for a word that was spoken in any video and find the exact moment it was said

For the PDFs we converted every single page to PNG and ran OCR across all 1,400,000 pages. We then used Go to run AI agents that analyze and summarize the OCR output across the documents. The search engine works through tags associated to each specific file, built on top of all that processed data.

The frontend is React Native, infrastructure runs through Cloudflare.

We also added the possibility for a user to make an anonymous account to like, add a comment and reply to others or make your own investigation post on our platform.

We are not stopping here. There is still a lot to do and we are pushing updates constantly.

Z

Naturally ffmpeg / curl are crucial tool combo's for all this conversion fetch and serve to work smoothly, but I don't need to tell you that. There are many more tools used, go in read and learn!

Sources:

https://exposingepstein.com/home

https://en.wikipedia.org/wiki/Jeffrey_Epstein

https://www.reddit.com/r/DataHoarder/comments/1shx4po/we_scraped_processed_and_now_host_the_entire_doj/

#programming #database #video #HLS #pdf #recoding #streaming #json #backend #frontend #react #srt #subtitles #FFMPEG

Как приручить сервисы-моки

Материал для тех, кто хочет создавать надежные и масштабируемые моки API-сервисов и любит получать удовольствие от жизни В этой статье поговорим о том, с чего начать, как лучше подойти к разработке сервисов-моков и как упростить себя жизнь при работе с ними Примеры и практические советы, как перейти на новый уровень покрытия тестами, если вы интегрируетесь с внешними системами

https://habr.com/ru/articles/1034736/

#мок #тестирование #бэкенд #разработка #автоматизация_тестирования #автотесты #backend #mock #QA #qa_automation

#SourceHut has been back up for me yesterday, so I took the chance to implement what I converted my new #ci #hugo build and #deploy script into a version that works on the `alpine/latest` CI runner which uses `bin/sh`...

Read full note: https://burgeonlab.com/notes/2026/0411-183833

Syndicated via https://getindiekit.com

#backend #continuousintegration #srht #cicd #bash #scripts #makefile #make #logs #alpine

#Development #Utilities
Format JSON Online · A powerful online toolkit for all your JSON needs https://ilo.im/167q7v

_____
#Checker #Converter #Translator #Formatter #JSON #XML #CSV #WebDev #Frontend #Backend

#SourceHut has been back up for me yesterday, so I took the chance to implement what I converted my new #ci #hugo build and #deploy script into a version that works on the `alpine/latest` CI runner which uses `bin/sh`...

Read full note: https://burgeonlab.com/notes/2026/0411-183833

Syndicated via https://getindiekit.com

#backend #continuousintegration #srht #cicd #bash #scripts #makefile #make #logs #alpine

#SourceHut has been back up for me yesterday, so I took the chance to implement what I converted my new #ci #hugo build and #deploy script into a version that works on the `alpine/latest` CI runner which uses `bin/sh`...

Read full note: https://burgeonlab.com/notes/2026/0411-183833

Syndicated via https://getindiekit.com

#backend #continuousintegration #srht #cicd #bash #scripts #makefile #make #logs #alpine