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Artifical Intelligence

Signiance Technologies > blog > Artifical Intelligence
Kiro IAM and AWS Environment Setup for Enterprise Teams - Signiance (1)

Kiro IAM and AWS Environment Setup for Enterprise Teams

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Set up identity, permissions, AWS accounts, regions, subscriptions, and developer access without giving every Kiro user unnecessary AWS privileges. Kiro IAM and AWS environment setup for enterprise teams requires...
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VPC Design Best Practices for Multi-Account AWS Environments - Signiance

VPC Design Best Practices for Multi-Account AWS Environments

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Plan CIDRs, routing, connectivity, security, and ownership before multiple AWS accounts turn networking into a maintenance problem. A multi-account AWS environment gives teams better isolation, security boundaries, and ownership,...
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Testing Strategy for AI-Native Products - Signiance 1

Testing Strategy for AI-Native Products

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Beyond Unit Tests Build reliable AI products by testing models, prompts, data, workflows, and production behavior together Traditional unit tests are important, but they cannot fully validate an AI-native...
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Autoscaling ML Inference Endpoints Without Overspending - Signiance 1

Autoscaling ML Inference Endpoints Without Overspending

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Scale model inference with demand while keeping GPU, CPU, and endpoint costs under control Machine learning inference costs can rise quickly when endpoints are provisioned for peak traffic but...
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How to Reduce AI Scope Drift With Kiro Spec-Driven Workflow - Signiance

How to Reduce AI Scope Drift With Kiro’s Spec-Driven Workflow

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Keep AI-assisted development aligned with the original feature goal from requirements through implementation AI coding tools can move quickly from a simple feature request to changes that were never...
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Fixing Kiro Agent Hooks That Won’t Trigger on File Save Create or Delete - Signiance

Fixing Kiro Agent Hooks That Won’t Trigger on File Save, Create, or Delete

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A practical troubleshooting guide for file patterns, workspace roots, hook versions, enabled states, and trigger behavior Kiro Agent Hooks can automate tasks when files are created, saved, or deleted,...
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Writing Effective requirements

Writing Effective requirements.md in Kiro Using EARS Notation

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A practical guide to writing clear, testable requirements that Kiro can turn into better designs and implementation tasks Kiro uses requirements.md as the starting point for its Spec workflow,...
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Migrating from Amazon Q Developer to Kiro - A Step-by-Step Guide - Signiance

Migrating from Amazon Q Developer to Kiro – A Step-by-Step Guide

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Move your existing Amazon Q Developer workflow to Kiro with minimal disruption, while preserving your tools, settings, & development habits Migrating from Amazon Q Developer to Kiro is more...
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How to Stop Kiro From Burning Through Vibe and Spec Credits Too Fast - Signiance

How to Stop Kiro From Burning Through Vibe and Spec Credits Too Fast

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A practical guide to reducing unnecessary Kiro usage without slowing down development Kiro can consume credits faster than expected when prompts are broad, tasks are repeatedly refined, or expensive...
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How to Build an Evaluation Layer That Catches AI Degradation in Real Time - Signiance

How to Build an Evaluation Layer That Catches AI Degradation in Real Time

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A practical framework for monitoring AI quality, detecting performance changes, and responding before users notice a problem. AI systems can degrade without any obvious infrastructure failure. A model may...
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