Hear me out: “Adversarial Pair Coding with AI Agents” — feels nice, keeps me in the flow and — velocity is immense!
+----------------------------+ | Coder Agent | | - Generates Code | | - Learns patterns | | - Optimizes logic | +----------------------------+ | +----------------------------+ | Shared Understanding | | - Language rules | | - Functional goals | | - Iterative improvement | +----------------------------+ | +----------------------------+ | Adversary Agent | | - Finds bugs | | - Suggests attacks | | - Tests edge cases | +----------------------------+
Simplify AI operations with AI Agents Dashboard—a single web interface that combines container-use, Coder AgentAPI, and Claude. Launch a primary agent instance from the dashboard, which then spins up additional isolated agent environments in containers. Monitor resource usage, health, and logs in real time, and start, stop, or scale any agent without using the command line.
“Orchestrate AI at scale, one container at a time.”
Target market: DevOps teams, AI researchers, and software engineers who need an easy way to deploy, observe, and control multiple Claude agents within containerized workflows.
AI agents can now handle end-to-end research workflows--from conceiving studies to final publication. This experiment revealed that SOTA models excel at research thinking, full reproducibility becomes trivial, and human time can finally be redistributed to the most valuable parts: thinking and doing better.
AI doesn't just make work faster--it amplifies hidden constraints. At Anthropic, eliminating coding bottlenecks revealed decision-making, integration, and context as the real limitations. Every breakthrough follows this pattern: solve one constraint, amplify the next.
Personal Website CMS, Current Focus, Daily Routine
Today's AI agents excel at computer operation and research, maintain coherence for hours, favor curious problem-solvers over technical experts, and are democratizing software creation while challenging traditional employment models.
A practical guide to Claude Code, including setup, codebase Q&A, tool usage, context best practices, scripting, and power user tips, distilled from Boris Cherny's talk.
Senior engineers often dismiss small AI coding power-ups (like smarter autocomplete or better error messages), not realizing these tweaks can totally change how users feel about a product.
The only way you’re going to figure this out is by getting your hands dirty and seeing what works.
Claude 4 Sonnet loves complex dashboard visualisations. I have been playing with my Garmin data to better understand agentic future of data science research.
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