How do you give an AI assistant a useful brief?
Start with the brief: a clear outcome, sources and boundaries make every later check easier to write.
Learning tracks · Track 5 of 7
For developers who hand real work to coding agents and need to trust what comes back.
Start with step 1: How do you give an AI assistant a useful brief?
After this track: You can brief a coding agent, define the checks it must pass and review its work without reading every line.
Follow these 10 steps in order, or return to the one you need for your current work. Reading times are estimates; listening times cover the full episode.
Start with the brief: a clear outcome, sources and boundaries make every later check easier to write.
Learn how coding models are trained on test results, and why passing tests can still reward the wrong behavior.
Decide what passing means before the agent starts, combining exact checks with rubric-based ones.
Use a five-step review checklist that ties tests and independent findings to the commit you merge.
See one full loop in practice: cheap checks first, a reviewer from another model family and evidence behind every finding.
Recognize the case where the only way to green is gaming the tests, so you know what your backstops are for.
Hear an agent-first workflow where the test set is defined up front and has to pass on every commit.
Apply the same verify-the-logic discipline when agents read, explain and translate old code.
Measure the work once agents write most of it, and hear where human review still earns its time.
Close with what the job becomes when code is cheap to produce: deciding what to build.
Take it into your work. You can brief a coding agent, define the checks it must pass and review its work without reading every line.
Choose another track or continue through the five-level pathway.