OpenAI and Ironclad are training AI agents on complex legal contracting workflows
AI-agents
12 tracked signals on AI-agents.
DeepSeek released a self-modifying open-source agentic harness that extends itself on demand
“it's not you who rewrites the program, but the program rewrites itself”
AWS launches natural language-to-Dogwood policy authoring for AI agent governance in Bedrock AgentCore
“Whatever your technical background, you can import policy documents written in natural language directly into the policy in Amazon Bedrock AgentCore to safeguard your deployed agentic systems.”
NVIDIA RTX Spark is a 1-petaflop superchip for running advanced AI agents locally on laptops
“The reinvention of the personal computer has begun and it starts with the RTX Spark”
Snyk's agentic security framing expanded from generated code to agent access and actions
“our customers started telling us that they were not only worried about the code that was being generated, they were also worried about what the agent had access to and then also the actions the agent might be taking”
Microsoft launches SQL MCP Server to connect AI agents directly to SQL databases
“we saw this proliferation of people trying to use AI models to build SQL queries maybe you heard the term NL to SQL right pretty cool in the beginning people showing demos oh look at me I can use an AI model and I can just put a prompt in there and it'll generate the query for me and all of a sudden people realize these queries were horrible”
70% of engineer time goes to running production, not writing code, and AI is making this worse.
“AI is creating a lot more issues in production as, you know, AI code sort of goes through.”
Serenity Star runs production RAG for AI agents at scale on Azure Database for PostgreSQL.
“It is a live product with thousands of agents and millions of executions, and we use Azure Database for PostgreSQL for our RAG implementation.”
Amazon AGI Lab researcher details failure modes of RL-trained agents in real-world deployment
“That's why we've been able to train really compelling coding agents using RL.”
Long-horizon for AI agents is a scalar metric, not a binary category, and shifts rapidly.
“long horizon is really kind of a scalar metric”
Databricks LTAP unifies OLTP and OLAP into one open-format data stack for AI agents
“coding agents love simplicity. LTAP is that simplicity boost.”
Databricks explains tool calling as AI models interacting with external tools and APIs