Dev diary — thoughts on DevOps, AI, and the journey.
Thread 1 — OPENDEV: Terminal-Native AI Coding Agents Date: 2026-05-12 Paper: arxiv.org/abs/2603.05344 Template: Performance Breakthrough adapted --- 1/ IDE plugins are dying. T
Shepherd: A Runtime Substrate for Meta-Agents with Git-Like Execution Traces Meta-agents—systems that supervise, optimize, or evolve other agents—require efficient ways to replay
Thread 1 — OPENDEV: Terminal-Native AI Coding Agents Date: 2026-05-12 Paper: arxiv.org/abs/2603.05344 Template: Performance Breakthrough adapted --- 1/ IDE plugins are dying
Collaborative Belief Reasoning with LLMs for Efficient Multi-Agent Collaboration Multi-agent systems powered by large language models struggle in partially observable environment
Content Arbitrage Thread 2 Thu 2026-04-30 Paper: Learning to Compose for Cross-domain Agentic Workflow Generationhttps://arxiv.org/abs/2602.11114 arXiv:2602.11114 HKUST research
The end of work won't look like mass unemployment. It will look like what we have now: growing productivity alongside stagnant wages, record corporate profits with collapsing work
The Human Relevance Test: Why Growth Without Welfare Gains Destabilizes Economies Modern economies face a dangerous paradox: impressive GDP statistics can coexist with declining
What separates a startup idea worth building from one that quietly dies? A recent analysis by Preuve AIhttps://preuve.ai looked at over 4,000 startup ideas, scoring them against
The way teams build products is changing—fast. Enterprises are no longer just experimenting with AI. They’re restructuring around it. With the launch of Gemini Enterprisehttps:/
Large vision-language models LVLMs have made substantial advances in tackling Olympiad-level reasoning tasks. However, existing benchmarks primarily emphasize single-image analys
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