Posts for: #Architecture

Building an AI SRE Assistant From Scratch: Architecture of an Autonomous Infrastructure Investigator

#AI  #python  #django  #react  #AWS  #GitLab  #LLM  #DevOps  #SRE  #architecture 

Building an AI SRE Assistant From Scratch: Architecture of an Autonomous Infrastructure Investigator

What if your on-call engineer never slept, had instant access to every repository and every AWS account, and could trace a production issue from DNS to database in under a minute?

That’s the question that led me to build TARS, an AI-powered SRE assistant that autonomously investigates infrastructure issues by combining LLM reasoning with deep integrations into GitLab and AWS. Named after the robot from Interstellar (because every good internal tool needs a movie reference), TARS is a full-stack application where engineers interact with an AI agent through a chat interface. The agent doesn’t just answer questions. It investigates. It clones repos, greps code, reads CloudWatch logs, traces DNS chains, inspects ECS services, and synthesizes findings into structured reports.

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Building an AI-Powered Document Processing Pipeline on AWS

#AWS  #AI  #LLM  #Step Functions  #Lambda  #serverless  #python  #architecture 

Building an AI-Powered Document Processing Pipeline on AWS

Insurance companies process millions of documents every year: police reports, medical records, invoices, repair estimates. Traditionally, human operators read each document, classify it, extract the relevant fields, and enter the data into the claims system. This is slow, expensive, and error-prone.

In this post I’ll describe the architecture of a production document processing pipeline I helped build. The system ingests claim documents, extracts text using vision-based LLMs, clusters and classifies document sections, extracts structured data, and generates vector embeddings for semantic search. All of this runs on a fully serverless AWS architecture with no idle infrastructure costs.

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