Rayify

Rayify helps investment and strategy teams make better decisions by systematically challenging and monitoring how critical assumptions evolve over time.

Improving productivity with AI (tech)

Code: ENG-001 | Track: technical | Duration: 2 hr

Use sub-agents, configure shared memory in projects, create skills in repo, and understand coding agent capabilities.

Context

Engineers adopting coding agents in a repo they can safely experiment in.

Who it's for

Engineering teams

Prerequisites

Format

Agenda

  1. Know your tool - silent failure modes, review habits that verify correctness, and the primitives that shape how Claude Code behaves.
  2. Prompts that work - the essential ingredients of an effective prompt, context economy, and recovering sessions that go off track.
  3. Sub-agents and skills - anatomy, triggers and data boundaries, with hands-on customisation of a working sub-agent.
  4. Orchestration - running parallel agents for context compression, common topologies and their failure modes, and managing cost.
  5. Shared memory across engineering - moving what your team teaches Claude into version control so it stops dying on individual laptops.
  6. Wrap-up and resources - named commitments per participant and curated post-session resources.

Session details

All workshops | Speak to our team