#Autonomous
Curated coverage on «Autonomous»: releases, research, benchmarks, open-source.

Habr AI explains how coding agents use memory, tools, and repository context
Habr AI's piece shows why the quality of a coding assistant depends not only on the model, but also on the harness, memory, tools, and access to the actual…

Snowflake: AI agents put development into 24/7 mode — CEO on return on investment
Snowflake CEO Sridhar Ramaswamy explained how AI agents enabled the company's developers to work around the clock and are already delivering a measurable return on…

Google Antigravity: five useful use cases beyond code — from research to database work
Google presents Antigravity as more than a coding IDE: the platform is already suitable for research, interface documentation, parallel agent work, and database…

KDnuggets showed how to run Qwen3.5 on an old laptop with Ollama and OpenCode

LangChain introduced Deep Agents — a layer on top of LangGraph for long-running and complex tasks

OpenClaw: how to build a local, secure runtime for AI agents without using the cloud

CIA to deploy neural networks across all intelligence analysis platforms by 2030

Habr AI: how fear of AI-driven job loss is becoming a strategy for professionals to adapt
Habr has published a column on how fear of losing one’s profession to AI is giving way to practice: neural networks help with routine tasks, planning, and…

Sinimex presented an AI coach for enterprise sales with document-based verification
Sinimex described a prototype AI coach for enterprise sales managers: it conducts a negotiation dialogue, checks talking points against documents, and has already…

AWS showed how to embed an AI agent's live view in React via Bedrock AgentCore

AWS launches Agent Registry in preview - a catalog of AI agents and tools for companies

OWASP SAMM gains Agentic SAMM extension for secure development with AI agents

Senar: why AI agents do not replace programmers and are changing the development process

Nissan bets on AI-defined vehicles: autonomous features to reach 90% of models
Nissan is betting on “AI-defined vehicles”: the company wants to bring autonomous driving features to 90% of future cars while cutting its model lineup by 20%.

Glydways raised $170 million for autonomous car networks backed by Sam Altman
Startup Glydways closed a roughly $170 million Series C round and is already discussing another $250 million as it tries to build closed networks of autonomous cars…









