Mastodawn

TIL: prefix your personal shell commands with "," https://rhodesmill.org/brandon/2009/commands-with-comma/
why am I only learning this now 🥲

Start all of your commands with a comma

pacovk Feb 5

Apart from the #Anthropic #Opus 4.6 release today, i am really excited to see #Claude #Code

1. proactively updating its memory bank as it works rather than only when you explicitly ask

2. the preview of agent teams feature for multi-agent collaboration

pacovk Feb 5

Crafting skills and CLAUDE.md rules is essential for steering #AI #agents in your project. But #skills are advisory - Claude can be argued out of following them.

Hooks are deterministic. No prompt can bypass.

Skills guide. Hooks enforce.

pacovk Jan 26

I didn’t use repository templates in VCS for a while because it felt like more overhead to manage those than to be useful.
Now considering if that is actually an easy abstraction for #AI #agents to manifest coding guidelines and standardize codebases within orgs
Anyone using this already for that?

pacovk Oct 3

I recently felt like a 10x developer I read about a lot. While it wasn’t about my #AI tool usage, 80% of my productivity gains were because I choose to sit right next to the actual user.
I received ad-Hoc insights and feedback while #claude #code was working.
No meeting overhead, pure communication

pacovk Jul 17, 2025

Another huge announcement for #AWS #Lambda: Remote Debugging for Lambda 😍
This not only improves significantly debugging, it's also convenient and integrated into the IDE.
Another bridge between remote cloud-based environment and local development 👏

https://aws.amazon.com/blogs/aws/simplify-serverless-development-with-console-to-ide-and-remote-debugging-for-aws-lambda/

Simplify serverless development with console to IDE and remote debugging for AWS Lambda | Amazon Web Services

Developers can now build serverless applications faster through seamless console-to-IDE transition and debugging of functions running in the cloud from local IDE.

Amazon Web Services

pacovk Jul 17, 2025

#AWS Pricing #MCP is an absolute improvement! Together with the AWS Cost Analysis MCP you now can use AWS Q Developer for a comprehensive FinOps session and pre-calculate costs based on infrastructure as code
https://go.aws/40YLduH

#AWS #FinOps #AI

AWS Price List Gets a Natural Language Upgrade: Introducing the AWS Pricing MCP Server | Amazon Web Services

We are excited to release the aws-pricing-mcp-server, an open-source tool in the AWS Labs GitHub repository, that brings natural language pricing queries to your favorite AI assistants through the Model Context Protocol (MCP). Now you can simply ask "What would it cost to run three m5.large instances and a MySQL RDS database in us-west-2?" and get instant pricing answers using natural language queries without leaving your workflow.

Amazon Web Services

Show thread

pacovk Jul 16, 2025

Link to Kiro https://kiro.dev/

Kiro: Agentic AI development from prototype to production

Kiro helps you do your best work by bringing structure to AI coding with spec-driven development.

pacovk Jul 16, 2025

Kiro launched and what's outstanding is the specs-driven development approach.
Claude Code is my main tool, but Kiro aids in drafting specs initially

With Kiro's Requirements, Design, and Task, I can now provide a more comprehensive starting point for Claude Code in less time

#AWS #Kiro #Claude

pacovk Jul 16, 2025

Amazon's S3 Vectors are now in preview, providing cost-effective storage for embeddings at the cost of latency. Ideal for reducing expenses on rarely accessed data in RAG applications where speed isn't critical.

#AWS #RAG #AI

https://aws.amazon.com/blogs/aws/introducing-amazon-s3-vectors-first-cloud-storage-with-native-vector-support-at-scale/

Introducing Amazon S3 Vectors: First cloud storage with native vector support at scale (preview) | Amazon Web Services

Amazon S3 Vectors is a new cloud object store that provides native support for storing and querying vectors at massive scale, offering up to 90% cost reduction compared to conventional approaches while seamlessly integrating with Amazon Bedrock Knowledge Bases, SageMaker, and OpenSearch for AI applications.

Amazon Web Services