
DeepSeek Harness: How DeepSeek Uses Cordis to Redefine Autonomous AI Agents
Part 2 of the DeepSeek Harness: Kernel to Edge series: Exploring DeepSeek Harness (DSH), its...
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Part 2 of the DeepSeek Harness: Kernel to Edge series: Exploring DeepSeek Harness (DSH), its...
Simon Willison shipped a coding agent as a 200-line plugin. Microsoft released a batteries-included harness. Thirty harnesses now run the same architecture. The loop is commodity — and the implications reshape which companies win the next phase of AI coding.

The current AI coding discussion spends too much time asking which model is “best.” I think that...

We spent decades engineering software to be predictable. Now we're building systems around...
Researchers report that off-the-shelf vision-language models can control robots with no robotics training at all, provided they are handed a simple menu of semantic actions - suggesting a large share of robot capability sits in the interface rather t
Harness launches autonomous worker agents that self-heal, self-scale, and self-optimize CI/CD pipelines. Breaking down the June 2026 announcement and what it means for DevOps teams.

The Last Piece of the Puzzle The previous four articles dissected the agent's control...
The short version I ran the same support-triage task on both AgentCore run modes. Harness...
A practitioner's look at Harness AI agents for DevOps: what they actually automate in CI/CD, real workflow examples, pros and cons, and how they compare to alternatives in 2026.

What Is a Harness The previous ten articles introduced the agent's individual...
Microsoft researchers built a system that reads an agent's failure traces, writes structured patches to the harness around the model, and keeps only the patches that survive validation, improving three separate long-horizon benchmarks by 9 to 10 poin
DeepSeek a publié en open source Harness (dsh), un runtime d'agents à micro-noyau où tout est un plugin, et il a atteint 170K étoiles GitHub en une semaine