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Off Autopilot
Curated, human-written articles about agentic coding
Agentic coding discourse is drowning in sponsored and slop content. Off Autopilot is a weekly newsletter curating high-signal, human-written articles about agentic coding
I don't think I've ever seen this amount of noise to signal content ratio for any other topic as I see for agentic coding. The amount of slop (sponsored slop, hype/doom rage-baiting, ai-generated slop) is unbelievable.
My bet is that figuring out agentic coding workflows will be a very long, unsexy process done by devs who actually use agents in real-world scenarios and document their findings, not by corporations whose incentive is to sell more tokens to companies.
I spend some time each week sifting through mountains of garbage to find original human-written articles about real-world applications of agents. I decided to make a newsletter out of it. Hope you find it helpful.
The noise problem in agentic coding content is real - half of what circulates is vendor marketing dressed as tutorials or pure hype. We spend actual team hours triaging what's worth reading vs what's just token farming. The human-written constraint is exactly the right filter. Subscribed.
Happy to find this project.
The amount of irrelevant and destructive noise is annoying. I am quite tired of reading "you're cooked", "you're replaceable", "one prompt will change everything," blah blah.
Being a software engineer, this is a fascinating tool that we all need to learn meticulously, see problems, disadvantages, weak points and learn how to trick them and make our solutions better.
Another problem I have is that it's annoying to read an AI-generated article. I've unsubscribed from a few tech bloggers I've been reading so far because of the AI-slop smell in their text.
I like that this project combines both - top-picked relevant articles for agentic coding and double-verified that those articles have a human touch and human deep thinking, not like "make an article about agentic coding with 1000 words, make no mistakes".
The amount of agentic coding content has gotten noisy fast, so a human-curated filter actually sounds useful. I’d rather read a few real workflow notes than another recycled “AI will change coding” post.
Agree with the problem, it's almost as depressing as the sheer amount of AI-written comments on PH 😂 Will be one of your readers!
The signal/noise framing is the right call — most agentic-coding content right now is either token-selling hype or AI-generated filler dressed up as a tutorial. How do you actually filter for 'human-written' each week: is it you manually reading through the firehose, or do you have heuristics/tooling to pre-screen candidates? And is there a public archive or RSS so I can pull past issues into my own reading workflow, or is it email-only for now?
About Off Autopilot on Product Hunt
“Curated, human-written articles about agentic coding”
Off Autopilot was submitted on Product Hunt and earned 47 upvotes and 11 comments, placing #19 on the daily leaderboard. Agentic coding discourse is drowning in sponsored and slop content. Off Autopilot is a weekly newsletter curating high-signal, human-written articles about agentic coding
Off Autopilot was featured in Newsletters (12.1k followers) on Product Hunt. Together, these topics include over 3.7k products, making this a competitive space to launch in.
Who hunted Off Autopilot?
Off Autopilot was hunted by Alex Sidorenko. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
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Alex Sidorenko
Hey all.
I don't think I've ever seen this amount of noise to signal content ratio for any other topic as I see for agentic coding. The amount of slop (sponsored slop, hype/doom rage-baiting, ai-generated slop) is unbelievable.
My bet is that figuring out agentic coding workflows will be a very long, unsexy process done by devs who actually use agents in real-world scenarios and document their findings, not by corporations whose incentive is to sell more tokens to companies.
I spend some time each week sifting through mountains of garbage to find original human-written articles about real-world applications of agents. I decided to make a newsletter out of it. Hope you find it helpful.