Videos

Code review is broken—30% of PRs already merge without review, and the bottleneck has shifted from coding to...

Deleting most of your Claude skills and system prompts can make the model smarter, not dumber. The creator of Claude...

Sonar's Anirban Chatterjee argues that the real bottleneck in AI coding isn't the models—it's the verification debt...

Long-horizon AI agent tasks are defined by both human-relative time and model-specific metrics like tokens and...

Kepler built verifiable AI for financial services by augmenting large language models with a deterministic substrate...

Current AI agents can reliably perform individual steps and use tools, but they fail at end-to-end knowledge work...

The Great Loops Debate at AI Engineer pits team Ian/Jeff (pro-loops, no delta) against team Dex/Greg (loops hype...

The speaker argues that the user, not the AI tool, is the primary bottleneck to productivity, and presents six fixes...

Anthropic employees use Claude Skills in five key ways: categorizing skills into four types (utility, verification,...

Agent loops replace the human in the feedback/iteration cycle by having the AI reason, act, and observe until a...