Kyndryl service targets AI agent automation, security - Network World
Kyndryl service targets AI agent automation, security Network World
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serviceagent![[P] Cadenza: Connect Wandb logs to agents easily for autonomous research.](https://d2xsxph8kpxj0f.cloudfront.net/310419663032563854/konzwo8nGf8Z4uZsMefwMr/default-img-robot-assembly-8kCUTaKVejALbAywaCQBiC.webp)
[P] Cadenza: Connect Wandb logs to agents easily for autonomous research.
Wandb CLI and MCP is atrocious to use with agents for full autonomous research loops. They are slow, clunky, and result in context rot. So I built a CLI tool and a Python SDK to make it easy to connect your Wandb projects and runs to your agent (clawed or otherwise). The cli tool works by allowing you to import your wandb projects and structures your runs in a way that makes it easy for agents to get a sense of the solution space of your research project. When projects are imported, only the configs and metrics are analyzed to index and store your runs. When an agent samples from this index, only the most high performing experiments are returned which reduces context rot. You can also change the behavior of the index and your agent to trade-off exploration with exploitation. Open sourcing
I Let AI Coding Agents Build My Side Projects for a Month — Here's My Honest Take
Last month I ran an experiment: instead of writing code myself, I delegated as much as possible to AI coding agents. Not just autocomplete — full autonomous agents that read files, run commands, and ship features. I've been running a home lab (Mac Mini M4 + a Windows PC with GPUs + an Ubuntu box) for a while now, and I already had my dev workflow automated with AI agents . But this time I pushed further: what if the agents didn't just help me code, but actually wrote the code? Here's what happened. The Setup I used a mix of tools: Claude Code (CLI) — my go-to for complex, multi-file tasks Codex (OpenAI) — good for one-shot generation with clear specs Local models via Ollama — for quick iterations without burning API credits The workflow: I'd describe what I wanted in plain English, point t
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