Builder showcase Verified builder profile@quinn-builds
Systems Architect Consistently frames work as a system: clarifies the boundary, names the invariants, then drives the agent through small, verifiable steps. Strong instincts for review and debugging keep quality high without slowing the loop.
Overall score 94/100
Grade Exceptional
Digest sha256:fixture-ada QB VerifiedSteering Execution Engineering Product Planning Steering 9.4 Execution 9.1 Engineering 9.2 Product 8.6 Planning 9.1
Sessions analyzed 18
Episodes 142
Scored episodes 96
Total prompts 34,870
Tokens written 443M
Projects 28 Signature moves Decomposes ambiguous goals into crisp, reviewable steps Steers the agent with precise, falsifiable acceptance criteria Catches regressions before they land Evidence highlights redacted
Architecture Asked the agent to keep the read path and the write path separate so each could be reasoned about on its own.
Evidence line a1b2c3d4 Planning Turned a vague request into four numbered steps and confirmed the first before moving on.
Evidence line c3d4e5f6 Steering Set the edge cases first, then asked the agent to implement only after confirming the acceptance checks.
Evidence line 29304152 Debugging & Rigor Reproduced the failure with a minimal case before changing anything, then re-ran it to confirm the fix.
Evidence line e5f60718 Code Quality Pointed out an unhandled empty-input case in a generated function.
Evidence line 07182930 Execution Merged the smallest complete slice, then immediately queued the next hardening pass.
Evidence line 41526a7b Dimensions backed by evidence. Each score is grounded in the public, redacted excerpts from this builder's sessions.
Repeatedly establishes the boundary and the invariants before writing code, and pushes back when a proposed change would blur a seam.
Asked the agent to keep the read path and the write path separate so each could be reasoned about on its own.
Shows deliberate separation-of-concerns up front. Rejected a shortcut that would have coupled two modules, and named the invariant it would have broken.
Defends an architectural boundary under time pressure.
Planning Confidence 88% 9.1 Breaks ambiguous goals into a short ordered list of reviewable steps, each with its own done-criteria.
Turned a vague request into four numbered steps and confirmed the first before moving on.
Sequences work into small, checkable units. Paused to re-scope when a step grew too large to verify in one pass.
Keeps steps small enough to review.
Steering Confidence 91% 9.4 Keeps the agent oriented with crisp constraints, asks for intermediate verification, and redirects when the implementation drifts.
Set the edge cases first, then asked the agent to implement only after confirming the acceptance checks.
Shows deliberate steering before code generation. Stopped a broad refactor and narrowed the change back to the user-visible failure.
Prevents unnecessary scope growth. Forms a hypothesis, isolates the smallest failing case, then confirms the fix against it before broadening.
Reproduced the failure with a minimal case before changing anything, then re-ran it to confirm the fix.
Hypothesis-driven, evidence-confirmed debugging. Asked for the exact error and the surrounding state rather than guessing.
Grounds the diagnosis in observed behavior. Reads the agent's diffs critically, flags edge cases, and asks for tests on the risky paths.
Pointed out an unhandled empty-input case in a generated function.
Catches a real edge case during review. Requested a regression test before accepting the fix.
Insists on coverage for the bug just fixed.
Execution Confidence 82% 9.1 Ships in short, finished passes while keeping a high-quality review loop around each agent-generated change.
Merged the smallest complete slice, then immediately queued the next hardening pass.
Balances speed with controlled iteration. Asked for a focused patch instead of a second redesign after the first test passed.
Keeps momentum on the verified path. Anchors implementation choices in the user's workflow and trims speculative features that do not improve the shipped experience.
Prioritized the state the customer would see first over an internal abstraction the user never touched.
Uses product impact to order technical work. Cut a nice-to-have control because it slowed the core onboarding path.
Protects the main workflow. Reports decisions, risks, and verification status in a way that makes review fast for another engineer.
Summarized the tradeoff, the files touched, and the exact checks that still needed to run.
Keeps collaborators oriented without hiding uncertainty. Named the remaining risk instead of presenting an unverified claim as done.
Communicates with useful precision. Signature moves Decomposes ambiguous goals into crisp, reviewable steps Steers the agent with precise, falsifiable acceptance criteria Catches regressions before they land Biggest growth edges Could lean on the agent more for first-draft exploration Document the chosen invariants so reviewers share the context Your sessions can become a verified profile too. curl -fsSL https://viber.minutework.ai/upload.sh | bashCopy Free. Open source. ~15 minutes.