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plan2code-bot: replace auto-responder with LLM-as-judge evaluation
Bot now acts as an authentic QA agent instead of rubber-stamping every question and step. - intelligent-responder answers AskUserQuestion via LLM using current observations (tools used, files created, errors) instead of keyword matching; auto-responder removed. - evaluator runs after each step with step-specific criteria (prompts/evaluation-criteria.ts), produces 0-100 score plus strengths/weaknesses/critical issues. Avg <60 blocks finalization. - observation-collector captures tool_use, file writes, errors, and question reasoning; session-runner falls back to scraping tool_use blocks when canUseTool doesn't fire and dedupes both sources. - Bot writes BOT-EVALUATION.md and BOT-NOTES.md for metrics analysis. - Idea generator: 12 categories instead of CLI/web-app coin flip, stronger seed adherence, less developer-tool bias. - Init step now writes a minimal AGENTS.md stub instead of running the full init skill, avoiding hallucinated architecture before plan. - Implement step uses Read/Write/Edit/Glob/Grep directly instead of a Skill sub-session that produced no visible tool observations. - bin: add --help, accept --idea="value" form, strip surrounding quotes; evaluator maxTurns 3 -> 30; warn when parser misses SCORE.
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@@ -7,6 +7,7 @@ vi.mock('@anthropic-ai/claude-agent-sdk', () => ({
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import { query } from '@anthropic-ai/claude-agent-sdk';
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import { runSession } from './session-runner.js';
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import { ObservationCollector } from './observation-collector.js';
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import type { BotConfig } from './types.js';
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const config: BotConfig = {
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@@ -35,14 +36,17 @@ describe('runSession', () => {
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})() as any,
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);
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const collector = new ObservationCollector('init');
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const result = await runSession({
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prompt: 'do something',
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config,
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step: 'init',
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collector,
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});
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expect(result.success).toBe(false);
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expect(result.output.trim()).toBe('');
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expect(result.observations).toBeDefined();
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});
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it('returns success: true when output has content', async () => {
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@@ -61,14 +65,18 @@ describe('runSession', () => {
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})() as any,
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);
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const collector = new ObservationCollector('init');
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const result = await runSession({
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prompt: 'do something',
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config,
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step: 'init',
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collector,
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});
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expect(result.success).toBe(true);
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expect(result.output).toContain('AGENTS.md');
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expect(result.sessionId).toBe('sess-2');
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expect(result.observations).toBeDefined();
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expect(result.observations.step).toBe('init');
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});
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});
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