Coding with Agents

A series from the Amp team covering AI agent best practices and prompting strategies. Topics include structured prompts, chain of thought prompting, using the Oracle sub-agent for complex reasoning, external memory management with short threads, and practical tips for effective agent collaboration. Features real-world development scenarios and insights from the Build Crew community.

A series featuring discussions, sharing experiences, and exploring the latest trends in AI agents and development practices.

Quinn Slack & Thorsten Ball on Building Amp Code

Sourcegraph's CEO and Amp Dictator discuss the philosophy behind Amp Code, their unconventional 15x/day shipping cadence without code reviews, and critical insights on coding agent architecture. Topics include why subagents and prompt optimizers may be misguided, the diminishing importance of model selectors, agent-friendly tooling, version control in an AI-first world, and how agents are transforming enterprise software development workflows.

An eight-part documentary series chronicling Sourcegraph's development of Amp, revealing groundbreaking insights on building practical coding agents. Topics include the shift from prompt to context engineering, the power of autonomous feedback loops, sub-agent architectures for context management, the "Oracle" pattern for multi-model reasoning, why codebases must adapt to agents, and evaluating LLM capabilities across providers. The team demonstrates why success depends on model quality over hidden tricks, treating agents as power tools rather than magic wands.