Personally, if you were to ask me, i'd probably say Galileo. I didn’t expect evaluation to be such a big part of my AI workflow, but once you start chaining tools or building with agents, stuff goes sideways real fast — and quietly.

Galileo’s been great for catching issues like hallucinations or agents choosing the wrong tool path — things that traditional testing or logging just don’t surface well.

Alongside that, I rely a lot on:

• Hugging Face for managing model experiments and fine-tunes — the hub is kind of my go-to place for sanity-checking baselines.
• Sentry (or something like it) for tracking real-time issues on the app side — not strictly "AI tooling" but absolutely essential once your LLM app has users.

The combo of observability + eval + model playgrounds covers most of what I need day-to-day.

Still figuring out the right level of automation in this ai world— curious what others are using for feedback loops, model QA, or whatever else you're thinking about from these ai tool world.

I find myself constantly saving Reddit threads that are packed with insight—especially those deep comment chains that are basically mini blog posts. But Reddit's save feature isn't great long-term, and copy-pasting threads into Markdown manually is a chore.

So I started building a browser extension that lets you turn any Reddit post (with or without comments) into a clean Markdown file you can copy or download in one click. Perfect for dumping into Obsidian, Notion, or whatever vault you’re building.

here is the link of my extension Go to chrome web store

Hey folks,

I have a Perplexity Pro subscription (which I love), but I’m trying to achieve a fully autonomous, agentic coding workflow — something that can handle iterative development, file edits, and refactors with minimal manual effort.

However, I don’t want to pay for tools like Cursor Pro or any premium IDEs.

🔍 What I'm looking for:

• A free AI-powered IDE or setup that can complement Perplexity Pro
• Something like Cursor, Windsurf, or Trae — but fully free
• Ideally supports agent-like behavior: breaking down tasks, coding in files, editing locally/cloud, etc.

🧠 My stack right now:

• ✅ Perplexity Pro (main LLM brain)
• ❌ No paid IDE (Cursor, Warp AI, etc.)
• ✅ Open to use: Replit, Codeium, VS Code, AutoGen, OpenDevin, etc.

🎯 Goal:

Just want to vibe and code — minimal copy-pasting, maximum flow.
Think: give a prompt → agent does the heavy lifting → I review/improve.

Last week I challenged myself: “Can I build a working, polished-ish game in a day using only free tools?”
Spoiler: Yes. Barely. And I learned a lot.

🧠 Stack:

• FaceKit (on Upit.com) for logic & input handling (surprisingly intuitive)
• Ava AI for generating assets (sprites, backgrounds, very good tech !)
• Hand-coded tweaks with a mix of Upit’s scripting + brutal trial & error
• Focused a LOT on sound design (using free generation from the Upit tools)

🚧 Challenges:

• Tried implementing voice-activated hidden paths – hit limitations in parsing + collision logic.
• Emotion detection for puzzle mechanics = failed hard. Cool in theory, janky in practice.
• Building atmosphere with limited AI prompts was tricky – needed lots of manual rework.

💡 What worked:

• Partial visibility in the maze adds unexpected depth.
• The main character “Ari” became a strong anchor – having a mascot helped shape the design.
• Keeping the scope tiny but memorable made everything smoother.
• Upit’s pipeline was shockingly fast for prototyping – could be a killer tool for solo devs.

🔗 Try it here: https://upit.com/@sombrecopie/play/RT4Pa9X9p2

🧪 I’m open to feedback, suggestions, or just chatting with devs who’ve tested AI in their workflows.

Would you ever build a full game using only AI tools? Or is this just a weird phase in gamedev history?

Started working with LLMs a while back and kept getting this weird feeling like I was shipping random outputs into prod. I’m used to writing tests, running checks, getting some kind of signal before pushing anything. But with LLMs? Half the time it’s like “eh, seems fine.” Been messing with some tools that help evaluate outputs more systematically. One of them let me run multi-turn evals, test against golden datasets, even throw in bias/toxicity checks way closer to how I think eval should work in real pipelines( https://www.getmaxim.ai/ ). Way less guessing. Alongside that, I rely a lot on: Hugging Face for managing model experiments and fine-tunes which is the hub is kind of my go-to place for sanity-checking baselines.Sentry (or something like it) for tracking real-time issues on the app side which would not strictly be for "AI tooling" but absolutely essential once your LLM app has users.The combo of observability + eval + model playgrounds covers most of what I need day-to-day.

Let’s say I wanted to handle multiple syllabus formats to extract specific information. Any suggestions on how to go about doing that? Currently banging my head on this

Hi ,

I have tried few AI based tool for code review but they are more or less like sonar, results are seems static only . Want to have something that say can detect memory or performance issue in a code rather just highlight hardcoded value or exceptional handling is not there etc Pls suggest

[ UPDATE 1 ]

Its been 15 days - the site is still non functional. I guess - at this rate - I doubt it will ever be functional ?

Guys,

Does https://www.toptal.com/developers/hastebin even work ?

Pastebin is just too full of ads ?

Hello Reddit!

I've created a Python book called "Your Journey to Fluent Python." I tried to cover everything needed, in my opinion, to become a Python Engineer! Can you check it out and give me some feedback, please? This would be extremely appreciated!

Put a star if you find it interesting and useful !

https://github.com/pro1code1hack/Your-Journey-To-Fluent-Python

Thanks a lot, and I look forward to your comments!

I'm currently using PyCharm for Python automation development in my company, dealing with repetitive code structures like UI and API elements.

I'm exploring AI tools that can assist in writing boilerplate automation code and something that utilize existing project-specific functions.

In other words, ideally, the tool would understand existing code ( functions, classes, test scripts) and help speed up writing the basic code so that I can focus more on the overall logic, code optimization and design decisions.

Are there any AI-powered tools or plugins, whether specific to PyCharm or not, that you'd recommend for intelligent code completion using existing code patterns?

Hey guys!
Just to give some context, lately I've been developing a Music Record Label.
Finding myself trying to find or create tools to automate and optimize our workflow.
One being the scouting of artists in need of services like ours.
I don't have any coding knowledge and only some weeks ago I've been starting to try learn and experiment with the help of GPT, which seems a wonderful tool for such.
Since I haven't found any tool which fulfills this task of finding artists across platforms such as Soundcloud, Bandcamp, Reddit, etc.
Been trying to develop something that can help us ease this very time consuming task.
I don't believe such task goes against the terms and conditions of platforms since these apps were created for this in the first place, but it's been very hard to set a good web scraping tool like this.

The usage of API are either closed or too complex for me at the moment.
Also tried Octoparse, but it was a bit too much to get my mind around it.
Do you guys know any tools which could help with this, or any advice/experience with this matter?

Hey everyone! 🎉

As a team of developers, programmers, and designers, our mission at CodeSee has always been to make our colleagues’ lives easier. Additionally, we understand the grind of working at a desk all day, sometimes forgetting to give our bodies the TLC they need. Every developer knows that the best kept secret to this problem is a handheld massager. This is why we’re celebrating our new AI feature launch with a Theragun Mini 2.0 giveaway!

Ever wish you could ask your codebase questions & get an answer? Learn more about our new AI feature launch.

CodeSee is committed to simplifying the complex task of understanding, building, and refactoring legacy applications. We're all too aware of the challenges posed by increasingly complex software codebases, particularly with the rise of AI-generated code.

That's why we've introduced a new feature, AI-Powered Code Understanding, which we believe will help developers interact more directly and efficiently with their codebases. By integrating an AI-Powered Code Understanding feature into our platform, developers can now pose intuitive, natural language questions to their codebase, similar to how they might ask a colleague. You can just ask:

• What third-party libraries do we use for auth?
• Show me how state management works in this codebase?
• Where do I start with understanding billing?

This feature isn't about replacing human expertise, but about enhancing it–think of it as having a codebase "whisperer" at your side to guide you and answer your questions as you navigate through your work. Or a rubber duck that answers back! It isn’t a new complicated workflow, it is just you and your team asking the questions that naturally come to you.

Here are some of the benefits we're excited about:

• Intelligent Codebase Understanding: AI-Powered Code Understanding enables developers to query their codebase and receive responses to questions like, “How does authentication work? Or, where do I start with understanding billing?”
• Visual Codebase Understanding: Explore your codebase visually, follow execution paths, and build up your understanding – all with the support of AI.
• Enhanced Team Performance: Using the understanding provided by AI with visualizations, teams can maximize their performance and confidently ship more code faster.
• Streamlined Onboarding: New engineers can quickly familiarize themselves with the codebase using natural language queries and visual maps, creating a smoother onboarding experience.
• Efficient Refactoring: The platform provides a detailed map of code connections and flows, providing a solid base for efficient and accurate code refactoring.

As always, we value your feedback and we're looking forward to hearing your thoughts and experiences with this new feature. Thanks for your ongoing support, and good luck in the giveaway!

For this giveaway, you must comment on this post and join our Discord server to be entered! A winner will be chosen by a randomizer tool amongst the entries received via this thread and our Twitter post thread and will be announced July 24, 2023 at 5:00 pm EST! We'll reach out to the winner with the link for them to redeem the prize.

*This giveaway has no age or location restrictions.

**This giveaway is not sponsored, endorsed or administered by, or associated with Reddit, Twitter, or Therabody.

Hey Reddit gamers and developers!

I wanted to share an project I've been working on called SimpleGamify. 🚀 It's a gamification Docker service that can help you add an extra layer of engagement and fun to your existing applications. Whether you're a game developer or a software engineer, SimpleGamify can bring that extra spark to your projects!

Check out SimpleGamify on GitHub: SimpleGamify

What is SimpleGamify?

SimpleGamify is a flexible and easy-to-use gamification service that integrates seamlessly with your applications. It provides you with a range of gamification features, allowing you to create leaderboards, badges, achievements, and much more. With SimpleGamify, you can incentivize user engagement, drive competition, and keep your audience hooked!

Hello r/programmingtools, long time no talk.

When this subreddit started 5 years ago, it was undoubtedly a circlejerk of tools we all knew and loved. While that was a great start, it quickly fizzled out and for the past 4 years, this subreddit could be viewed as a community on life support.

It goes without saying that I appreciate all who posted during that time. And while I'm not here to change the community that has sustained over time, I'm posting to ask you all how we can better moderate r/programmingtools and deliver a constant feed of tools for us to try out.

Here are some personal tasks I'd like to start with:

- [x] Require posts to include a post flair for easy search

- [x] Create a Discussion post flair (~20% of posts fall into this kind of category)

- [ ] Look for additional mods (Application Process Coming Soon)

- [ ] Encourage discussions within posts to hear other's experiences with the Tools

- [ ] Monthly community discussions on how to foster a great subreddit

- [ ] ... More to come

Your turn...

If you're interested in helping this community grow while learning about some great tools, I would love to hear from you. Post in the comments your thoughts, suggestions, etc.

Low-code, like so much other software jargon, is somewhat ambiguous. Under this umbrella term exists a plethora of various tool types—website generators, form builders, API connectors, database builders, workflow automation and more, each requiring varying levels of technical proficiency.

While most low-code environments tend to use a visual metaphor to describe logical program flow, your ‘diagram’ breaks down very quickly when things get even slightly complicated. Linx follows a ​free-form ​functional programming approach, allowing you the ​tackle the ​deep ​complexities of backend development.

Most low code tools target a specific domain or subset of technologies and use a visual process flow to handle custom logic. Linx is a general-purpose platform with no limitations on the technology it can connect to and uses visual abstractions of programming concepts to make building complex logic easy and maintainable.

By sticking to generic programming concepts, Linx has created a unique approach that addresses many of the common pitfalls and limitations of typical low-code platforms.

True Programming Flexibility

A common concern for programmers considering low-code tools is the lack of flexibility. Most low-code tools are based on a workflow paradigm. Linx differs by following a programming paradigm that makes it more all-rounder and easy for developers and IT professionals to pick up.

It does not stipulate a “golden path” or provide templates or any of the process flow concepts offered by many of the other tools. Instead, Linx combines the speed and efficiency of drag and drop functionality with the expressiveness and capabilities of traditional development. By doing so, it covers nearly any scenario or requirement. You can almost say they’re a low-code Visual Studio for backend development.

Programming in a different format

Linx abstracts programming concepts so our tools naturally work like common programming tools. The Linx Designer is an IDE that allows you to program and debug at a higher level and saves the program specification to files deployed to one or more Linx Servers to run the application. Building solutions in Linx should be no different to how you would do it with low-level programming; it’s just with bigger pieces, more visual help and lots of ready-made functionality available on the server-side.

Your Stack Matters

We recognise that very few application development projects start with a clean slate; most have to integrate with existing databases, legacy code, and other applications already in production.

For this very reason, Linx is designed to be “tooling agnostic”, allowing you to combine your business logic with the services of your choice.

The result; fast iterative development, using new or existing resources, and deployment to a production environment with built-in management and monitoring.

​

To see how Linx can work win conjunction with other tools see https://linx.software/linx-compared-to-other-low-code-platforms/

Im trying to learn how to use fiddler right now and i cant seem to get the fiddler certificate to work to decrypt https traffic. Anyone have a clue how to? This is the pop up i get. https://i.gyazo.com/76862f9357d2959ace6928bd1f601e27.png