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GET
/
v1
/
reddit
/
fetch_dynamic_search
cURL
curl --request GET \
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                          "markdown": "I’m sitting here looking at my mentees and for the first time in my career, I’m genuinely questioning the path I’m putting them on.\n\nI’ve been a seasoned pythonista for years, currently at FAANG, so I’ve seen the industry go through plenty of cycles, but 2026 feels like a total break from reality. \n\nWe used to treat programming like a craft you had to sweat over, but now that the tools are doing the heavy lifting, I’m wondering if we’re just teaching people to maintain a dying language. \n\nI want to hear from the people actually trying to break in right now. What does the market look like from your perspective? Are you finding that deep Python knowledge actually gets you a seat at the table, or are companies just looking for someone who can glue AI modules together? \n\nI’m asking because my perspective is skewed by being on the inside for so long. I want the raw version of what it’s like to be a junior today. \n\nIs the struggle to learn syntax and architecture still worth it when the barrier to entry seems to be vanishing and the ceiling is lowering at the same time? Tell me if I’m being a cynic or if you’re actually seeing a future where being a coder is still a distinct, valuable skill set. \n\nIf you just landed your first job or you’re currently hunting, how much of your actual day is spent thinking about logic versus just managing the output of a machine? I'm trying to figure out if I'm preparing these guys for a career or just a temporary gig before the role of \"programmer\" disappears entirely.\n\n",
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                          "markdown": "I'm sorry but it has to come out.\n\nWe are experiencing an endless sleep paralysis and it is getting worse and worse.\n\nBefore, when we wanted to code in Python, it was simple: either we read the documentation and available resources, or we asked the community for help, roughly that was it.\n\nThe advantage was that stupidly copying/pasting code often led to errors, so you had to take the time to understand, review, modify and test your program.\n\nSince the arrival of ChatGPT-type AI, programming has taken a completely different turn.\n\nWe see new coders appear with a few months of experience in programming with Python who give us projects of 2000 lines of code with an absent version manager (no rigor in the development and maintenance of the code), comments always boats that smell the AI from miles around, a .md boat also where we always find this logic specific to the AI and especially a program that is not understood by its own developer.\n\nI have been coding in Python for 8 years, I am 100% self-taught and yet I am stunned by the deplorable quality of some AI-doped projects.\n\nIn fact, we are witnessing a massive arrival of new projects that are basically super cool and that are in the end absolutely null because we realize that the developer does not even master the subject he deals with in his program, he understands that 30% of his code, the code is not optimized at all and there are more \"import\" lines than algorithms thought and thought out for this project.\n\nI see it and I see it personally in the science given in Python where the devs will design a project that by default is interesting, but by analyzing the repository we discover that the project is strongly inspired by another project which, by the way, was itself inspired by another project. I mean, being inspired is ok, but here we are more in cloning than in the creation of a project with real added value.\n\nSo in 2026 we find ourselves with posts from people with a super innovative and technical project that even a senior dev would have trouble developing alone and looking more closely it sounds hollow, the performance is chaotic, security on some projects has become optional. the program has a null optimization that uses multithreads without knowing what it is or why. At this point, reverse engineering will no longer even need specialized software as the errors will be aberrant. I'm not even talking about the optimization of SQL queries that makes you dizzy.\n\nFinally, you will have understood, I am disgusted by this minority (I hope) of dev who are boosted with AI.\n\nAI is good, but you have to know how to use it intelligently and with hindsight and a critical mind, but some take it for a senior Python dev.\n\nSubreddits like this are essential, and I hope that devs will continue to take the time to inquire by exploring community posts instead of systematically choosing ease and giving blind trust to an AI chat.",
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Authorizations

Authorization
string
header
required

API key for authentication. Format: sk_live_xxxxxxxxxxxxx Get your API key from the Dashboard.

Query Parameters

query
string
required

Search keyword

Example:

"python programming"

search_type
string
default:post

Search type, default is post Options: post: search posts community: search communities/subreddits comment: search comments media: search media (images/videos/GIFs) people: search users

sort
string

Sort order (only applicable to post/comment/media types) Options: RELEVANCE: relevance HOT: hot TOP: top NEW: newest COMMENTS: comment count (only applicable to post type)

time_range
string

Time range (only applicable to post/media types) Options: all: all time year: past year month: past month week: past week day: today hour: past hour

Safe search setting, default is unset Options: "unset" or "strict"

allow_nsfw
string
default:0

Whether to allow NSFW content, "0" or "1"

after
string

Pagination parameter

need_format
boolean
default:false

Whether to clean/sanitize the data

Response

The response is of type object.