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ExternalSoftware Engineering
DEV Community

Deploy AI agents in 5 lines of code.

TL;DR Build AI-agents in 5 lines of code. Skip the set up & infrastructure. Live and running. from custodian_labs import Custodian app = Custodian( model="gpt-4o", system_prompt="You are a concise, helpful assistant.", ).deploy() print(app.chat("Hello!").response) print(app.chat_url) # ← live, shareable URL Runnable Colab notebook here. DIYing this: FastAPI behind a reverse proxy + Redis for sessions + a small frontend + an auth layer + a vector DB and ingestion pipeline. All of it

aipythonrag
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ExternalSoftware Engineering
DEV Community

Building a passwordless, Gemini-advised dashboard on the "zero stack"

I built Kajota Pulse and wrote this article as my entry for the **AWS × Vercel "H0: Hack the Zero Stack"* hackathon (#H0Hackathon). Live app: kajota-pulse.vercel.app · Code: github.com/KaJota-inc/kajota-pulse* Across African micro-commerce, "co-sellers" buy stock from wholesalers and resell to their network for a markup. There's a whole industry of tools for writing the listing. There's almost nothing for the question that actually decides whether a co-seller makes money: what should I stock thi

hackathonawsvercel
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ExternalSoftware Engineering
DEV Community

Why I Built "WIN RAK": A Privacy-First Alternative to Passive Location Tracking

Location sharing has become normal. Most people use it for simple reasons: checking if family arrived safely coordinating with friends helping elderly relatives finding children handling emergencies But most existing apps solve this with the same model: continuous passive tracking. That model always bothered me. Not because it doesn’t work. But because it changes the relationship between trust and location. Most location-sharing apps work by keeping your position visible all the time. 24/7. Even

flutterandroidprivacy
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ExternalSoftware Engineering
DEV Community

LLM Integration in CI/CD: Real Use Cases Beyond Code Completion

A GitLab API token appeared in a README.md file. It was committed, pushed, and reviewed by two engineers before merging. Nobody caught it. This was not a junior developer's mistake. Both reviewers were experienced. The token was on line 47 of a 200-line file, sandwiched between installation instructions. At the end of a sprint, with three other reviews queued, it looked like documentation. It was a secret sitting in plain sight. We caught it the next day during a routine audit. By then it had be

aidevopsinfrastructure
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ExternalSoftware Engineering
DEV Community

How to Write Content That AI Search Engines Actually Cite

Most content advice for AI search treats writing as an SEO problem with new rules. It is not. It is a citation problem with old rules, applied differently. Ranking on Google was about earning the click. Getting cited by ChatGPT, Perplexity, or Google’s AI Overviews is about earning the quote, a discipline known as answer engine optimization when it focuses on direct-answer citations. This guide breaks down what AI engines actually look for in a piece of content, the seven writing moves that turn

aiwebdevwriting
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ExternalSoftware Engineering
DEV Community

Eu decidi — de novo — me dedicar aos jogos.

Aos 12 anos, eu decidi que ia fazer jogos. Passei por volta de 5 a 6 anos usando RPG Maker. Comecei muitos jogos, tive várias ideias e aprendi bastante coisa, mas terminar um jogo? Não, isso não. Na pandemia de 20, voltei a programar e, junto com minha esposa, fiz um quiz sobre a cultura potiguar. Fomos aprovados em um edital público de incentivo aos jogos, e foi a primeira vez que ganhei dinheiro programando e fazendo um jogo. Foram dois cajados com um coelho só. Mas depois eu parei. Na mesma é

gamedevaiprogramming
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ExternalCloud
Google Cloud Blog

Supercharging the agentic era with Spanner’s multi-model architecture

In the agentic era, the role of the database has fundamentally changed. It is no longer a passive repository; it’s a critical context engine designed to ground generative AI apps, models and power autonomous workflows. To do this effectively, databases must move beyond fragmented architectures and embrace a unified, multi-model foundation, facilitating deep reasoning and transforming static data into a system of action.  Spanner is leading this charge, and as a foundational pillar of Google’s Ag

SpannerDatabases
Google Cloud BlogRead original
ExternalSoftware Engineering
DEV Community

Approval Queues Are the Runtime for Agentic AI Workflows | Focused Labs

An exception queue is the next agent interface to embed. Dull. An exception queue is fundamentally simple. All enterprise autonomy requires is for the agent to create a review item (e.g. an Approval item) and park its state. Then it waits for someone to make a decision, and resumes execution when done. If the AI agentic workflow depended on someone physically being present to “review” the AI (e.g. by staring at chat) then it would simply be another chat app, dressing up in a hard hat for work. L

programmingai
DEV CommunityRead original

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