In a 200-task benchmark, nearly 91% of ReAct agent retries were spent on errors that could never succeed. The three fixes I use: an error taxonomy, per-tool circuit breakers, and tool routing that stays in code.
Churn is not a yes or no question, it is a question of when. This covers censored data, Kaplan-Meier curves, and Cox hazard ratios in Python with the lifelines library.
Claude Code is not only for refactoring PHP. Three things I run through it that never touch a codebase: LaTeX decks kept in Git, cross-app search over Slack and Notion, and prospect research.
Woo ran a Bug Blitz: support engineers with Claude Code and Copilot shipped over 170 fixes across 20 products, every line reviewed by quality engineers. Why it worked and what to copy.
LLMs forget your stack the moment you close the tab. Here is what actually sticks: a project rules file in the repo, global rules for your own preferences, and MCP when the assistant needs data from outside the codebase.
A GPU at 10% while every CPU core is pinned at 100% is a data loading problem, not a hardware problem. What I change first in a PyTorch pipeline: DataLoader workers, pin_memory, mixed precision and torch.compile.
Mistral released Voxtral-4B-TTS with the encoder truncated, so there is no way to feed it a new voice. The way around it is gradient descent plus a straight-through estimator, optimizing the audio codes directly against an 8-second clip.
Sean Moran’s work wires transformer weights analytically instead of training them: the residual stream becomes working memory and attention becomes a lookup. What that means when you need an exact computation instead of a probable answer.
One LLM cannot draft emails, read documents and optimize a sales pipeline well. A look at splitting the work across reasoning, orchestration and execution layers, with TD learning doing the sequential decisions.
Metric depth, class-agnostic segmentation and geometric fusion turn ordinary photos into a labeled 3D scene. Includes the KD-tree voting code that took label coverage from about 20% to 78% of a point cloud with no extra annotation.