Heroku moves to a sustaining engineering model, prioritizing stability and security over rapid feature expansion. Here's what this means for your platform strategy.

Heroku increased compressed slug limits from 500MB to 1GB, addressing capacity constraints for AI-heavy and data-intensive applications. Here's what this means for your deployment strategy.

Heroku CLI v11 completes its shift to ECMAScript Modules with significant performance gains and breaking changes. Here's what builders need to do before upgrading.

Dust's latest update fixes critical agent behavior inconsistencies by enforcing explicit reinforcement mode controls. Builders now have finer-grained authority over when agents enter reinforced workflows.

Dust now notifies users via email when Frames are shared, plus improvements to file processing. Here's what this means for your workflow.

Vercel eliminates the embedding requirement for knowledge agents, simplifying architecture and reducing vector database complexity. Here's what this means for your stack.

Dagster's latest release adds multi_partition_key property to execution contexts, enabling cleaner handling of multi-partition runs alongside Braze integration and Databricks improvements.

Vercel released a Chat SDK that simplifies AI agent integration into applications. Here's what this means for your development workflow and when you should adopt it.

Jinja2 templating in system prompts lets you inject runtime parameters and conditional logic into agents without rebuilding them. This is infrastructure, not feature bloat.

Zyte published guidance on building MCP servers that connect LLMs to live web data via Zyte API. Builders can now embed web scraping directly into AI applications without separate infrastructure.