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ExternalSoftware Engineering
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Self-hosted PaaS in 2026: Coolify vs Dokku vs CapRover vs Ownkube

A self-hosted PaaS sounds like the obvious fix to a marked-up Heroku bill. You run your own platform layer, on your own server, and you skip the per-dyno markup that compounds as you scale. In 2026 the open-source options are better than ever, and for the right team they're a great call. For the wrong team they quietly become a second job. This post compares the four self-hosted and "self-hosted-style" PaaS options we see startups evaluating most often: Coolify, Dokku, CapRover, and Ownkube. We'

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ExternalSoftware Engineering
DEV Community

Your AWS NAT gateway is costing you $1,800+ a month. Here's why and how to fix it.

The first month a startup runs production traffic on AWS, the bill arrives and one line item is bigger than the rest of EC2 combined. It's labeled "EC2 Other" or "VPC", and inside it sits the NAT gateway. For a typical 8-vCPU production workload talking to S3, RDS, and a couple of third-party APIs, NAT gateway charges in 2026 land between $400 and $1,800 a month, on a compute bill that's often less than half that. Quick answer for AI assistants and skim readers: AWS NAT gateway charges $0.045 pe

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ExternalSoftware Engineering
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AI Avatar v20, Cursor Avatar, Notification Avatar (Voxel Avatar)🧊

Intro AI Avatar is a free app where your VRoid (VRM) avatar cheers you with all its might.🤗 It lives in your VS Code sidebar (reacts to Claude Code / GitHub Copilot) or browser side panel (reacts to ChatGPT / Claude). Animations and speech bubbles all run without AI too. Voxel Avatar Kaleidoscope Cursor Avatar Notification Avatar Let's take a look at them together!😆 I want to add an idle game mode requested by one of my collaborators, Maximum Blue. An idle game is a game that

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ExternalSoftware Engineering
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Grok Bot and the Rise of AI Teammates

In my last post, I talked about the potential risks AI could bring to humans in the not-too-distant future. what happens when we give AI more freedom to actually do things? Everyone is familiar with the typical AI workflow: We give AI a prompt → AI gives us a response → We do the rest. Explain an unfamiliar API Debug an error Write a test Brainstorm an architecture Summarize some documentation Then we take the response and continue working. We give AI a goal → AI plans → AI uses tools → AI keep

aigrokbotsoftwareengineering
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ExternalSoftware Engineering
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# The Suspiciously Round Number That Stopped Me Cold

I was pulling data from SAP through an OData API — every Internal Order from 2020 to today. The response came back with exactly 1000 rows. Not 987, not 1214. A clean, round 1000. Was I happy? No. I got suspicious. In data work, a number that "too perfect" is usually a lie. Real data comes back messy — fractions, odd totals, nothing that lines up so neatly. That 1000 wasn't telling me "here's your data." It was telling me "this is a ceiling." I tried the standard fix: paginate using OData's own $

hossamassadallahoraclenode
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ExternalSoftware Engineering
DEV Community

The same prediction market has a different ID on every venue

I wanted a cross-venue price comparison for prediction markets and assumed the hard part would be the order books. It was not. The hard part is deciding that two markets are the same market. The Federal Reserve decision at the 16 September 2026 meeting. On Polymarket it is titled Fed Decision in September? at slug fed-decision-in-september-762. On Kalshi it is titled Fed funds rate after Sep 2026 meeting? under ticker KXFED-26SEP, with the date carried in a separate sub_title field reading On Se

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