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How one developer ran an end-to-end legacy migration with agentic AI
I was given a C++ application that ran on an older generation of payment terminals, documentation for the old platform, documentation for the new one, and a simple objective: Build the application for the new terminals, and use AI to help. That was essentially the entire handoff. There was no business analyst to walk me […]
How we turned AI development cost spikes into a controllable workflow
By Illia Sokolov, Senior Technology Fellow at ABCloudz Most days, our AI spend for development stayed below $100. Then one day hit $490. No big production launch. No planned load test. No obvious reason in the data. It was clear, visible, and hard to ignore. The problem was that the chart could only tell us […]
How far can agentic AI automate backend development?
By Mariia Horova | Senior Full Stack Engineer We already knew that AI agents could help with substantial backend development tasks. The more interesting question was how far we could take that idea. Could we connect specialized agents into a workflow that would move a feature through documentation, architecture, database work, implementation, and review with […]
How to build an agentic AI software development lifecycle
By Illia Sokolov, Senior Technology Fellow at ABCloudz × Generative AI already helps developers write code faster. But using it primarily through a chat window leaves much of that potential unused. The model often lacks enough project context to solve a task properly. The developer still has to explain the problem, copy information back and […]
ai, Amazon S3, AWS Lambda, Amazon Bedrock, integration, automation, Amazon SQS, AWS, healthcare, test automation, AI case studies
Data extraction from fax using AI in Amazon Bedrock
Think faxes are a thing of the past? Not in healthcare. Every month this U.S.-based platform that helps patients, doctors, and imaging centers manage imaging procedures online was buried under thousands of referrals, notes, and reports. The result was hours of manual entry that slowed growth and made scaling impossible without hiring more people. We […]
ai, AWS Lambda, Amazon Bedrock, healthcare, automation, integration, application-development, Amazon SQS, application-modernization, architecture, AWS, MySQL, Amazon S3, node.js, React, Redis
Modern healthcare scheduling powered by AWS
For a long time in the U.S., getting an imaging procedure scheduled was harder than it needed to be. Patients often had to call around to find an available slot, physicians sent referrals by fax, and imaging centers had to juggle these requests manually. The result was delays, frustration, and a lot of wasted effort. […]
ai, LLM, prompt-management, ChatGPT, Claude, Amazon Titan, Llama, Amazon Bedrock, cost-optimization, NLP
How to select LLM for SQL generation
Imagine a scenario where a data analyst needs to generate SQL queries to extract specific information from a complex data warehouse, but without deep knowledge of SQL. Our goal was to create an AI assistant that translates natural language to SQL, and we wanted to find the optimal large language model (LLM) for this task. […]
AWS Confirms The High Quality of Our GenAI Solutions
At ABCloudz, we are committed to delivering quality and trustworthiness in every solution we create. Recently, two of our AI-powered solutions, Natural Language Interface for Data Platform and AI Text Classification and Matching, successfully passed the rigorous AWS Foundational Technical Review (FTR). This achievement validates our technical expertise and reinforces our commitment to delivering reliable, […]
Natural Language Interface for Data Platform
Imagine a business analyst whose task is to extract necessary information from a data warehouse to generate various reports. They need to be proficient in crafting SQL queries of any complexity—a challenging and time-consuming feat that requires deep understanding of database structures and SQL language. But what if this business analyst had an AI assistant […]
ai, LLM, text-processing, RAG, NLP, prompt-management, GenerativeAI, higher-education, PostgreSQL, AI case studies
AI Text Classification and Matching for Better Decisions
Picture this: You have an AI-powered assistant that helps manage your team’s growth. It works with three types of text data: job descriptions, employee skills, and training programs. You give it a job description and an employee’s skill set, and it pinpoints the perfect training programs to bridge any skill gaps. It’s like having a […]
ABCloudz Achieves Microsoft’s Data & AI Solutions Partner Designation
Data is the lifeblood of any business. The ability to extract insight and value from data plays a critical role in determining long-term success. Efficient data utilization can drive streamlined business processes, reduce waste, and enable well-informed strategic decisions. With the advent of cloud-powered AI and analytics tools, organizations now have unprecedented access to transformative […]
ai, LLM, RAG, Amazon Bedrock, ChatGPT, Embeddings, AWS, application-development, GenerativeAI, prompt-management, AI case studies
Calculate the Total Cost of a RAG-Based Chatbot Solution
This blog post examines the operational expenses of the AI-powered chatbot solution introduced in our previous blog posts, Custom AI chatbot using RAG and Deployment of AI-Powered Chatbot. How to estimate the cost of a RAG chatbot correctly? Start by separating infrastructure, model usage, embedding usage, and expected traffic, then calculate each layer on its […]
CI/CD, deployment, devops, ai, ChatGPT, Amazon Bedrock, Amazon RDS, AWS, LLM, RAG, Embeddings, Neo4j, PostgreSQL, Amazon ECR, backend, GenerativeAI, prompt-management, AI case studies
Deployment of AI-Powered Chatbot
This blog post focuses on the architecture and deployment of the AI-powered Chatbot solution that we described in our earlier blog post Custom AI Chatbot Development Using RAG. This solution is built for the AWS cloud but uses OpenAI as an LLM. We’ll dive deep into the CI/CD process and AWS deployment architecture of the […]
ai, ChatGPT, GenerativeAI, prompt-management, LLM, Amazon Bedrock, RAG, Amazon RDS, Neo4j, PostgreSQL, Embeddings, graphdb, vectordb, AWS, AI case studies
Custom AI Chatbot Development Using RAG
You have probably seen and heard about AI-powered chatbots that can converse with the user about website content, or some piece of knowledge related to a company. The world is full of buzz on all things AI, with chatbots driving the headlines. In this article, we’ll share our experience building a full-blown solution from scratch […]
Integrating AI into Bionic Hands
In previous blog posts, we provided a functional overview and delved into the technical details of Alt-Bionics’ affordable prosthetic hand, outlining the journey from concept to a product ready for commercial release. What does it take to train an AI to interpret the unique language of muscle signals? This chapter peels back the curtain on the […]