EasyPlatform retro

[IMPORTANT] Use

TaskCreate

to break ALL work into small tasks BEFORE starting — including tasks for each file read. This prevents context loss from long files. For simple tasks, AI MUST ATTENTION ask user whether to skip.

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Critical Thinking Mindset — Apply critical thinking, sequential thinking. Every claim needs traced proof, confidence >80% to act. Anti-hallucination: Never present guess as fact — cite sources for every claim, admit uncertainty freely, self-check output for errors, cross-reference independently, stay skeptical of own confidence — certainty without evidence root of all hallucination.

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AI Mistake Prevention — Failure modes to avoid on every task:

• Check downstream references before deleting. Deleting components causes documentation and code staleness cascades. Map all referencing files before removal.
• Verify AI-generated content against actual code. AI hallucinates APIs, class names, and method signatures. Always grep to confirm existence before documenting or referencing.
• Trace full dependency chain after edits. Changing a definition misses downstream variables and consumers derived from it. Always trace the full chain.
• Trace ALL code paths when verifying correctness. Confirming code exists is not confirming it executes. Always trace early exits, error branches, and conditional skips — not just happy path.
• When debugging, ask "whose responsibility?" before fixing. Trace whether bug is in caller (wrong data) or callee (wrong handling). Fix at responsible layer — never patch symptom site.
• Assume existing values are intentional — ask WHY before changing. Before changing any constant, limit, flag, or pattern: read comments, check git blame, examine surrounding code.
• Verify ALL affected outputs, not just the first. Changes touching multiple stacks require verifying EVERY output. One green check is not all green checks.
• Holistic-first debugging — resist nearest-attention trap. When investigating any failure, list EVERY precondition first (config, env vars, DB names, endpoints, DI registrations, data preconditions), then verify each against evidence before forming any code-layer hypothesis.
• Surgical changes — apply the diff test. Bug fix: every changed line must trace directly to the bug. Don't restyle or improve adjacent code. Enhancement task: implement improvements AND announce them explicitly.
• Surface ambiguity before coding — don't pick silently. If request has multiple interpretations, present each with effort estimate and ask. Never assume all-records, file-based, or more complex path.

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Understand Code First — HARD-GATE: Do NOT write, plan, or fix until you READ existing code.

1. Search 3+ similar patterns (

   grep

   /

   glob

   ) — cite

   file:line

   evidence
2. Read existing files in target area — understand structure, base classes, conventions
3. Run

   python .claude/scripts/code_graph trace <file> --direction both --json

   when

   .code-graph/graph.db

   exists
4. Map dependencies via

   connections

   or

   callers_of

   — know what depends on your target
5. Write investigation to

   .ai/workspace/analysis/

   for non-trivial tasks (3+ files)
6. Re-read analysis file before implementing — never work from memory alone
7. NEVER invent new patterns when existing ones work — match exactly or document deviation

BLOCKED until:

- [ ]

Read target files

- [ ]

Grep 3+ patterns

- [ ]

Graph trace (if graph.db exists)

- [ ]

Assumptions verified with evidence

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Quick Summary

Goal: Facilitate sprint retrospective with structured feedback collection.

Workflow:

1. What went well — Collect positive outcomes, wins, good practices
2. What didn't go well — Identify pain points, blockers, frustrations
3. Action items — Concrete improvements for next sprint
4. Metrics — Sprint velocity, completion rate, bug count

Key Rules:

• Focus on process improvements, not blame
• Every "didn't go well" should have a proposed action item
• Action items must be specific, assignable, and time-bound
• Output to plans/reports/ directory

Be skeptical. Apply critical thinking, sequential thinking. Every claim needs traced proof, confidence percentages (Idea should be more than 80%).

Retrospective Structure

1. Data Gathering

• Review sprint status report (if available from

  /status

  )
• Collect git activity: commits, PRs merged, branches
• Review task completion rate

2. What Went Well

• Identify practices worth continuing
• Celebrate wins and improvements from previous action items

3. What Didn't Go Well

• Identify friction points, blockers, delays
• Look for patterns across multiple sprints
• No blame — focus on systemic issues

4. Action Items

Each action item must have:

• Description — What needs to change
• Owner — Who is responsible
• Deadline — When it should be addressed
• Success criteria — How we know it's done

Output Format

## Sprint Retrospective

**Sprint:** [Sprint name/number]
**Date:** {date}
**Output:** plans/reports/retro-{date}-{sprint}.md

### What Went Well
- [Positive item]

### What Didn't Go Well
- [Pain point] → Action: [proposed fix]

### Action Items
| # | Action | Owner | Deadline | Status |
|---|--------|-------|----------|--------|
| 1 | [Action] | [Who] | [When] | Pending |

### Metrics
- Planned: X items | Completed: Y | Completion rate: Z%

IMPORTANT Task Planning Notes (MUST ATTENTION FOLLOW)

• Always plan and break work into many small todo tasks using

  TaskCreate

• Always add a final review todo task to verify work quality and identify fixes/enhancements

---

Closing Reminders

• IMPORTANT MUST ATTENTION break work into small todo tasks using

  TaskCreate

  BEFORE starting
• IMPORTANT MUST ATTENTION search codebase for 3+ similar patterns before creating new code
• IMPORTANT MUST ATTENTION cite

  file:line

  evidence for every claim (confidence >80% to act)
• IMPORTANT MUST ATTENTION add a final review todo task to verify work quality MANDATORY IMPORTANT MUST ATTENTION READ the following files before starting: <!-- SYNC:understand-code-first:reminder -->
• IMPORTANT MUST ATTENTION search 3+ existing patterns and read code BEFORE any modification. Run graph trace when graph.db exists. <!-- /SYNC:understand-code-first:reminder --> <!-- SYNC:critical-thinking-mindset:reminder -->
• MUST ATTENTION apply critical thinking — every claim needs traced proof, confidence >80% to act. Anti-hallucination: never present guess as fact. <!-- /SYNC:critical-thinking-mindset:reminder --> <!-- SYNC:ai-mistake-prevention:reminder -->
• MUST ATTENTION apply AI mistake prevention — holistic-first debugging, fix at responsible layer, surface ambiguity before coding, re-read files after compaction. <!-- /SYNC:ai-mistake-prevention:reminder -->