Covers the agent as an effective pair programmer and pull-request review buddy for research software: driver-navigator collaboration with think-aloud reasoning, ping-pong test-driven pairing, keeping the human in charge of scientific decisions, pre-review of pull requests before human reviewers see them, and constructive review-comment craft. Use when the user wants to work through code together, asks to pair on a problem, wants their changes pre-reviewed before opening or merging a pull requ...
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---
name: rseng-pair-programming
description: >-
Covers the agent as an effective pair programmer and pull-request review
buddy for research software: driver-navigator collaboration with think-aloud
reasoning, ping-pong test-driven pairing, keeping the human in charge of
scientific decisions, pre-review of pull requests before human reviewers see
them, and constructive review-comment craft. Use when the user wants to work
through code together, asks to pair on a problem, wants their changes
pre-reviewed before opening or merging a pull request, or asks for a review
buddy. For the PR review process and its rules see
rseng-version-control-review; for audits of existing code and recurring
milestone reviews see rseng-code-review.
license: CC-BY-4.0
metadata:
version: 0.1.0
---
# Pair programming and PR review buddy
Pairing and review are the two highest-bandwidth quality practices
software teams have, and both translate directly to human-agent
collaboration - with one non-negotiable adaptation for research
software: the human owns the scientific decisions (what to compute,
what counts as correct, what tolerances mean); the agent
contributes engineering rigor, pattern knowledge and tirelessness.
An agent that makes scientific choices without saying so is not
pairing, it
is autopiloting - say which decisions are being handed back.
## Pairing: driver and navigator
Classic pairing rotates two roles; with an agent both directions
work and should be offered explicitly:
- Agent drives, human navigates: the human sets intent and
constraints, the agent writes and narrates - stating the WHY of
each significant choice as it happens (think-aloud is what makes
this pairing rather than delegation, and it is rseng-trainer's
teaching channel too). Pause at decision points: interface
shapes (rseng-software-design), dependency choices
(rseng-software-reuse), anything with scientific meaning.
- Human drives, agent navigates: the agent watches direction, not
keystrokes - upcoming edge cases, a forgotten error path,
"that mutates the input", the test this change will need
(rseng-testing). Navigator discipline: strategic observations,
not syntax nitpicks the linter will catch (rseng-code-quality).
- Ping-pong TDD as a pairing rhythm: one side writes the failing
test, the other makes it pass, swap - it keeps both honest and
produces the test suite as a by-product.
- Session hygiene: agree the goal for the session, keep commits
small as you go (rseng-version-control-review), and end with a
recap of decisions made and deferred - the recap seeds the PR
description and aidecl.yaml (rseng-ai-declaration records the
collaboration honestly).
## Review buddy: the pre-review pass
The highest-leverage use: a structured pass BEFORE human reviewers
spend attention. The pre-review makes the human review shorter and
about the things only humans can judge:
1. Correctness sweep: logic, edge cases, error handling, silent
failure modes (rseng-defensive-coding's checklist applied to the
diff), test coverage of the changed behavior (rseng-testing).
2. Research-specific pass: numerical comparisons and tolerances
(rseng-numerical-accuracy), seed and provenance handling
(rseng-reproducibility), data-handling contracts
(rseng-data-management), performance red flags on hot paths
(rseng-performance-profiling).
3. Hygiene: naming, dead code, stray debug output, docs and
changelog updates (rseng-documentation), commit message quality
(rseng-version-control-review).
4. Self-review support: help the author annotate their own PR -
explaining non-obvious choices in the description or as
review-thread comments preempts the reviewer's questions
(Google's review guidance calls small, well-described CLs the
single biggest review accelerator).
Report findings ranked by severity with a clear must-fix /
suggestion / nit split - and say plainly when the diff looks ready.
## Review comment craft
Whether pre-reviewing or helping the user review others:
- Comment on the code, never the author; offer the reason with
the request ("this loop rereads the file per iteration - hoist
the read?") - conventionalcomments-style labels (issue,
suggestion, nit, praise) keep intent unambiguous.
- Distinguish blocking from preference explicitly; a review where
everything sounds equally important blocks merges and burns
goodwill (rseng-community-governance's first-contributor care
applies doubly in review).
- Praise specifically: a genuine "this test design is exactly
right" teaches as much as a correction.
- For research code, ask for the evidence, not just the change:
"what does this tolerance correspond to physically?" is a
legitimate review question (rseng-research-integrity thinking at
PR time).
## Boundaries
The buddy never approves its own work: pre-review by the agent
does not replace human review for changes that matter - it
prepares for it (the same separation rseng-agent-security keeps for
publishing rights). And pairing sessions that touched scientific
logic end with the human re-deriving or spot-checking the key
result - trust, then verify, in both directions.
## Working with this skill
This skill is source-independent: it encodes established pairing
and code-review practice adapted to human-agent research software
collaboration.
Learn more (verified):
- https://martinfowler.com/articles/on-pair-programming.html -
On Pair Programming (Fowler/Boeckeler-Siessegger)
- https://google.github.io/eng-practices/review/ - Google
engineering review practices
- https://conventionalcomments.org - conventional comments for
review threads
<!-- related-skills:begin -->
## Related skills
Check whether any of these applies before moving on:
- rseng-agent-security - agent never approves its own work
- rseng-ai-declaration - recording agent collaboration honestly
- rseng-research-integrity - evidence questions at review time
- rseng-testing - ping-pong TDD produces the suite
- rseng-trainer - narrated pairing is the teaching channel
- rseng-version-control-review - small commits during sessions
<!-- related-skills:end -->