How-to

Practical things you can use now: prompting tips, building workflows, how to use tools and lessons learned.

Latest selected

1–7 of 7

Wednesday

23:30
Build a multi-agent music production pipeline on Amazon Bedrock AgentCore Runtime Instances
The official AWS blog demonstrates deploying a three-agent music production pipeline on Amazon Bedrock AgentCore Runtime Instances. The composition agent uses Claude Sonnet 4.6 to generate a music brief and runs ACE-Step on the instance's NVIDIA L4 to render audio. The delivery agent reads .wav files from the shared volume for measurement and DSP processing, while the compliance agent independently remeasures them and checks harmonic similarity against a music catalogue.
AWS Machine Learning BlogSelectedHow-to #How-to #Agents #DeploymentScore62

Thursday

08:26
Migrating the GitHub Copilot runtime to Rust, using Copilot
GitHub used the Copilot app and Copilot CLI to completely rewrite the Copilot agent runtime from TypeScript into over 800,000 lines of production Rust. AI agents wrote most of the code, delivered incrementally across 128 PRs, improving performance by several orders of magnitude.
GitHub Blog · AI & MLSelectedHow-to #How-to #Agents #CodingScore77

Thursday

08:00
Rebuilding AUTOMATIC1111 with Gradio Workflow
The Hugging Face team rebuilt most AUTOMATIC1111 functionality as the Workflow1111 canvas using Gradio Workflow. Its 11 media pipelines and 73 nodes cover text-to-image, high-resolution fixes, image-to-image, prompt matrices, VLM reverse prompting, detection-generated inpainting masks, ControlNet-style annotators, background removal, PNG Info and image-to-video.
Hugging Face BlogSelectedProducts #How-to #Agents #MCP and tool useScore60

Wednesday

20:00
Modernizing complex legacy code with AI agents.
Mistral helped a European energy operator migrate 40,000 lines of Fortran 77 to C++, targeting a physics-heavy reservoir simulator without a test suite or centralised documentation. The team first built a numerical-alignment testing framework, used Skill.md to guide agents in exporting state snapshots and validating migrated modules, then launched over a hundred agents with Vibe CLI to analyse call trees and used Mistral OCR to organise scattered documents.
Mistral AISelectedHow-to #How-to #Agents #CodingScore60

Wednesday

08:00
Training and Finetuning Multi-Vector Embedding Models with Sentence Transformers
Sentence Transformers v6.0 adds a fourth model type, MultiVectorEncoder, for ColBERT-style late-interaction retrieval, with a complete training approach.
Hugging Face BlogSelectedHow-to #How-to #RAG #Data and trainingScore62

Friday

01:16
Record, train, and deploy from one place with Strands Agents, LeRobot, and Hugging Face Storage Buckets
A Hugging Face blog tutorial demonstrates a streaming data loop for Strands Robots. The same Robot() object records demonstrations, syncs them to a Storage Bucket, streams training data from the Hub and deploys the checkpoint back to hardware, keeping the LeRobot disk format unchanged throughout.
Hugging Face BlogSelectedHow-to #How-to #Agents #Open-source ecosystemScore62

Wednesday

20:00
Rails testing on autopilot: Building an agent that writes what developers won't
Mistral built an autonomous agent on its open-source coding assistant Vibe to read Rails source files, generate or improve RSpec tests and run within CI/CD without human intervention.
Mistral AISelectedHow-to #How-to #Agents #CodingScore60