Today, we’re releasing new tools to help developers go from prototype to production faster: AgentKit, expanded evals capabilities, and reinforcement fine-tuning for agents.
Recommended
Introducing workspace agents in ChatGPTOpenai Introducing new capabilities to GPT-RosalindOpenai Introducing ChatGPT Futures: Class of 2026Openai Introducing LifeSciBenchOpenai Building self-improving tax agents with CodexOpenai Using thousands of AI agents to uncover new leads in biological dataOpenai
10 best AI observability tools for monitoring and evaluating agents in 2026Mintlify
Introducing CORPS: The 5 Pillars for a Robust Cloud Architecture FrameworkThenewstack
Pulumi Neo Now Supports AGENTS.mdPulumi
Introducing New Slimmer Docker ImagesPulumi
How to serve trillions of tokens for trillion-parameter coding agentsModal
Introducing: H100s on ModalModal
pg_duckdb: Splicing Duck and Elephant DNAMotherduck
Do AI Agents Need a Semantic Layer?Motherduck
Building a Remote MCP Server: OAuth, Tool Design & Lessons from 4,000+ AI Queries | MotherDuckMotherduck
The Serverless Backend for Analytics: Introducing MotherDuck’s Native Integration on VercelMotherduck
Introducing DocChat: GPT-4 Level Conversational QA Trained In a Few Hours - CerebrasCerebras
Introducing the Docker Desktop WSL 2 BackendDocker
Bringing More Power To Edge Rules! Introducing Variable ExpansionBunny
AGENTS.md outperforms skills in our agent evalsVercel
