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Explore how a more local-first approach can simplify development, speed up iteration, and give you clearer visibility into how your workflows actually run.
Explore how a more local-first approach can simplify development, speed up iteration, and give you clearer visibility into how your workflows actually run.
41 posts
Thrubit 1.3.2 is a major step forward for developers building AI-powered workflows with AWS Step Functions. This release expands Bedrock support beyond simple model invocation and brings the full range of Bedrock service integrations into local execution.
May 1, 2026
Amazon Bedrock is AWS’s fully managed service for building and scaling generative AI applications using foundation models from providers like Anthropic, AI21 Labs, Cohere, Meta, and Amazon itself. Instead of managing infrastructure or training models from scratch, Bedrock gives you API access to powerful models so you can generate text, summarize content, classify data, and […]
April 30, 2026
Modern applications are no longer a single block of code. They are made up of distributed services, APIs, and event-driven components that must work together reliably. Coordinating all of these moving parts is where AWS Step Functions and state machines come in. If you have ever chained multiple AWS Lambda functions together or tried to […]
April 30, 2026
AWS Step Functions help developers orchestrate workflows using state machines. At the center of most workflows is the Task state, the state type responsible for actually doing work. Whether you are invoking a Lambda function, sending a message to SQS, calling Amazon Bedrock, or publishing an EventBridge event, chances are you are using a Task […]
April 14, 2026
A Parallel State in AWS Step Functions allows multiple branches of a workflow to run at the same time instead of one after another. This is one of the most powerful features in Amazon States Language (ASL) because it helps developers: In simple terms, a Parallel State acts like a traffic controller that says: “Run […]
March 20, 2026
Amazon Bedrock simplifies working with foundation models, but once you move into real applications, you run into challenges around cost, consistency, and control. That is where inference profiles become essential. They allow you to standardize how models are invoked across your systems, making it easier to manage behavior, swap models, and control costs without rewriting […]
March 12, 2026
Amazon States Language, often shortened to ASL, is the JSON-based language used to define workflows in AWS Step Functions. If that sounds overly technical, think of it this way: Amazon States Language is simply a way to describe the steps your application should follow. It acts like a blueprint for automation. Instead of writing massive […]
February 11, 2026
AWS Step Functions are designed to orchestrate workflows, automate processes, and coordinate distributed systems. One of the most powerful features inside Amazon States Language (ASL) is the Map State. If you have ever needed to process multiple items at once, loop through arrays of data, run tasks in parallel, or scale workflows dynamically, the Map […]
January 7, 2026
AWS Step Functions make it easier to orchestrate complex workflows across Lambda, SQS, EventBridge, Bedrock, DynamoDB, and many other AWS services. But testing those workflows directly in AWS can quickly become frustrating and expensive. Every deployment cycle introduces delays. Every test execution creates additional AWS costs. Debugging often means digging through logs spread across multiple […]
December 20, 2025
AWS Step Functions help developers orchestrate distributed systems, automate workflows, and coordinate cloud services without writing large amounts of custom orchestration code. Instead of building fragile logic inside applications, developers define workflows visually using state machines. From AI pipelines to payment processing, Step Functions are now widely used across startups, enterprises, SaaS platforms, fintech systems, […]
December 9, 2025
Example AWS Step Functions ASL workflow for financial services, showing how banks can validate transactions, run fraud checks, verify balances, and post payments with a secure and scalable orchestration pattern. Ideal for credit card processing, check clearing, and high volume financial workflows.
November 14, 2025
As artificial intelligence continues to expand across industries, developers face a growing challenge: how to make complex workflows faster, more efficient, and easier to debug. From language models to computer vision systems, AI pipelines often consist of many moving parts. Each step introduces opportunities for optimization, and two of the most powerful strategies are parallelization […]
November 13, 2025