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Modern coding agents wrap multiple LLMs: a supervisor decomposes work and tool-using workers edit code, run commands, and verify results in loops. They operate either locally with OS-level permissions or in sandboxed cloud containers preloaded with your repo to run tests and linters safely. Effectiv...
MiniMax released its M2.1 model; coverage highlights accelerating release cycles and growing focus on agentic use cases. Expect changes in tool-use behavior and prompt sensitivity as models iterate faster. Validate API details (availability, rate limits, function-calling) against official docs befor...
A recent video argues that model capability is no longer the main constraint; the gap is in how we design agentic workflows, tool use, and evaluation for real systems. Treat LLMs (e.g., Gemini Flash/Pro) as components and focus on orchestration, grounding, and observability to get reliable, low-late...