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tech-insider.org

Amazon Macie Setup Guide: 12 Steps for S3 Data Security [2026]

9+ min ago   (1124+ words) Before starting, confirm you have the following in place. Macie is a regional, account-level service, so everything below applies per AWS account and per region you plan to monitor. One AWS-specific catch worth flagging up front: Macie’s dimensions are billed…...

DEV Community
dev.to > pawan_19/01/2006 > 100-users-free-api-keys-and-0-cloud-budget-how-i-built-kairos-25k5

100+ Users, Free API Keys and ₹0 Cloud Budget: How I Built Kairos

42+ min ago   (760+ words) I wanted to build a simple RAG system. That sentence aged badly. The original problem was actually pretty simple. We were organizing a departmental event called Kairos, where participants had to study company information and create pitch decks. The organizers…...

DEV Community
dev.to > morganintech > securely-merging-pull-requests-from-public-contributors-3kl5

Securely Merging Pull Requests from Public Contributors

43+ min ago   (488+ words) How can maintainers safely test forked PRs without exposing sensitive data to potentially untrusted code? This article explores how on forked pull requests authored by public code contributors, with no elevated permissions from repository / organization roles, can be securely merged....

DEV Community
dev.to > marvinoka4 > six-checks-to-run-before-you-trust-a-number-your-own-harness-produced-2fbk

Six Checks to Run Before You Trust a Number Your Own Harness Produced.

1+ hour, 5+ min ago   (1710+ words) I built a measurement harness. I found ten bugs in it. Every one made my results look better than they were, and not one was found by reading the code. Here is the checklist that came out of that. It…...

@hackernoon
hackernoon.com > building-isolyne-part-5-how-the-offline-fallback-parser-handles-llm-outages

Building Isolyne (Part 5): How the Offline Fallback Parser Handles LLM Outages | HackerNoon

46+ min ago   (315+ words) What happens when an LLM call fails on flaky Wi-Fi? How we engineered a deterministic fallback engine that keeps our mobile app 100% functional offline. The dirty secret of many modern "AI-native" mobile apps is that they are completely bricked the…...

DEV Community
dev.to > michaels1011 > ephemora-cell-a-capability-based-wasm-sandbox-for-untrusted-ai-code-3eii

Ephemora Cell: a capability-based WASM sandbox for untrusted AI code

37+ min ago   (369+ words) AI agents do not only answer questions. They write code, call tools, and load plugins. The hard part is not starting that work. It is what the code is allowed to do once it runs. Permission systems answer “may it…...

DEV Community
dev.to > cornelcroi > i-pay-an-llm-to-approve-bad-reviews-3be2

I pay an LLM to approve bad reviews

37+ min ago   (783+ words) Every trip report on my travel site goes through an LLM before readers see it. The most important line in that prompt is not about catching bad content. It is this one, verbatim: "Bad reviews" as in negative. The trip…...

Sampli AI
sampli.ai > pillars > ai-native-product-platform-engineering

AI-Native Product & Platform Engineering

1+ hour, 49+ min ago   (407+ words) Sampli AI's MSc-qualified engineers design, build and run AI-native products and platforms in production. How we take you there Step 1 of 10 · Simply - Insight Step 2 of 10 · Simply - Insight Step 3 of 10 · Simply - Insight Step 4 of 10 · Sampli - Foresight Step 5 of 10 · Sampli - Foresight Step…...

Tech Observer Magazine
techobserver.in > news > enterprise-it > artificial-intelligence > perplexity-gpt-6-astra-production-systems-329212

Perplexity deploys GPT-6 Astra for production system management

2+ hour, 47+ min ago   (600+ words) Perplexity is using OpenAI's GPT-6 Astra model to manage production systems, write communications and modify software with significantly reduced human oversight compared to earlier AI generations. The San Francisco-based startup is using Astra, OpenAI’s latest generation language model, to write…...

DEV Community
dev.to > llmwaves > your-llm-cost-estimate-is-wrong-above-200000-tokens-26ck

Your LLM cost estimate is wrong above 200,000 tokens

1+ hour, 22+ min ago   (441+ words) I went looking for a straight answer to "what will this cost per month" and found that almost every comparison table gets it wrong the moment prompts get long. Not slightly wrong. Double. Gemini 3.1 Pro is $2 per million input tokens,…...