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Spec driven development is more than using plan mode
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Spec driven development is more than using plan mode
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Another take on the many ways to use AI. I appreciate the autonomy framing over others I've seen.
Levels of Autonomy for AI Agents: operator, collaborator, consultant, approver, and observer.
From micro-manager to macro-manager: coding's asynchronous future
Another entry into our collective attempt to understand what AI is doing to software development.
"think of “conductor” versus “orchestrator” as two ends of a spectrum of AI-assisted development, with many hybrid workflows in between."
Tantang OpenAI, Meta Rilis Model AI Muse Spark 1.1
SEANTERONEWS.com – Meta secara resmi meluncurkan sistem kecerdasan buatan (AI) terbarunya, Muse Spark 1.1, pada Kamis (9/7/2026) waktu setempat. Model AI multimodal yang dirancang khusus untuk pemrograman otonom (agentic coding) ini diproyeksikan untuk bersaing ketat dengan berbagai produk serupa yang sebelumnya telah ditawarkan oleh OpenAI dan Anthropic. Muse Spark 1.1 merupakan versi lanjutan…
Self-Scaffolding LLMs: How Ornith-1.0 Rewrites Its Own Harness Mid-Training
A technical breakdown of DeepReinforce’s self-improving agentic coding models  There’s a quiet assumption baked into most RL post-training pipelines for coding agents: a human designs the harness, and the model just gets better at using it. The scaffold — memory management, error handling, tool orchestration, retry logic — stays fixed. The policy is the only thing that’s allowed to…
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Anya is live and ready to show you everything. Watch her strip, dance, and perform exclusive shows just for you. Interact in real-time and make your fantasies come true.
Free to watch • No registration required • HD streaming
Agentic UI Development with Claude Code for High Motion Web Design
A technical breakdown of how CLI-based AI agents like Claude Code are moving beyond static component generation to orchestrate complex, production-ready animations and design systems.
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Peter Naur's 1985 theory of programming explains why experience matters more in the age of AI-generated code
Orgs serious about software quality must invest in:
Documentation that captures intent
Knowledge sharing practices that transfer mental models
Code review processes that evaluate theoretical consistency
Mentorship programs that develop theory-building skills