docs(pack-by): import Devika, BabyAGI, and Kiro tutorial packs

CONTENT_GAPS_ANALYSIS.md

@@ -6,8 +6,8 @@ This document tracks structural and quality gaps that impact completeness and di
 
 | Metric | Value |
 |:-------|:------|
-| Tutorial directories | 188 |
-| Tutorials with exactly 8 numbered chapters | 185 |
+| Tutorial directories | 191 |
+| Tutorials with exactly 8 numbered chapters | 188 |
 | Tutorials with >8 numbered chapters | 3 |
 | Tutorials with 0 numbered chapters | 0 |
 | Tutorials with partial chapter coverage (1-7) | 0 |

IMPORT_ROADMAP_TODO.md

@@ -8,6 +8,9 @@ This roadmap tracks the next highest-impact tutorial imports for `awesome-code-d
 
 | Repo | Stars | Priority | Pack | Status |
 |:-----|------:|:---------|:-----|:-------|
+| [`stitionai/devika`](https://github.com/stitionai/devika) | 19.5k+ | P0 | `pack-by` | done |
+| [`yoheinakajima/babyagi`](https://github.com/yoheinakajima/babyagi) | 18k+ | P0 | `pack-by` | done |
+| [`kirodotdev/Kiro`](https://github.com/kirodotdev/Kiro) | 1.8k+ (AWS) | P0 | `pack-by` | done |
 | [`anomalyco/opencode`](https://github.com/anomalyco/opencode) | 102k+ | P0 | `pack-ae` | done |
 | [`mastra-ai/mastra`](https://github.com/mastra-ai/mastra) | 21k+ | P0 | `pack-ae` | done |
 | [`langflow-ai/langflow`](https://github.com/langflow-ai/langflow) | 144k+ | P0 | `pack-af` | done |

TUTORIAL_STRUCTURE.md

@@ -17,7 +17,7 @@ tutorials/<tutorial-name>/
 
 | Pattern | Count |
 |:--------|:------|
-| `root_only` | 188 |
+| `root_only` | 191 |
 | `docs_only` | 0 |
 | `index_only` | 0 |
 | `mixed` | 0 |

discoverability/query-hub.md

@@ -2,7 +2,7 @@
 
 Auto-generated high-intent query landing surface mapped to the most relevant tutorials.
 
-- Total tutorials indexed: **188**
+- Total tutorials indexed: **191**
 - Query hubs: **6**
 - Source: `scripts/generate_discoverability_assets.py`
 

discoverability/search-intent-map.md

@@ -2,7 +2,7 @@
 
 Auto-generated topical clusters to strengthen internal linking and query-to-tutorial mapping.
 
-- Total tutorials: **188**
+- Total tutorials: **191**
 - Total clusters: **9**
 - Source: `scripts/generate_discoverability_assets.py`
 
@@ -64,7 +64,7 @@ Auto-generated topical clusters to strengthen internal linking and query-to-tuto
 
 ## ai-coding-agents
 
-- tutorial_count: **82**
+- tutorial_count: **85**
 
 - [ADK Python Tutorial: Production-Grade Agent Engineering with Google's ADK](https://github.com/johnxie/awesome-code-docs/blob/main/tutorials/adk-python-tutorial/index.md)
   - intents: production-operations, agentic-coding
@@ -90,6 +90,8 @@ Auto-generated topical clusters to strengthen internal linking and query-to-tuto
   - intents: tool-selection, agentic-coding
 - [Awesome Claude Skills Tutorial: High-Signal Skill Discovery and Reuse for Claude Workflows](https://github.com/johnxie/awesome-code-docs/blob/main/tutorials/awesome-claude-skills-tutorial/index.md)
   - intents: tool-selection, agentic-coding
+- [BabyAGI Tutorial: The Original Autonomous AI Task Agent Framework](https://github.com/johnxie/awesome-code-docs/blob/main/tutorials/babyagi-tutorial/index.md)
+  - intents: agentic-coding
 - [Beads Tutorial: Git-Backed Task Graph Memory for Coding Agents](https://github.com/johnxie/awesome-code-docs/blob/main/tutorials/beads-tutorial/index.md)
   - intents: agentic-coding
 - [Browser Use Tutorial: AI-Powered Web Automation Agents](https://github.com/johnxie/awesome-code-docs/blob/main/tutorials/browser-use-tutorial/index.md)
@@ -114,9 +116,7 @@ Auto-generated topical clusters to strengthen internal linking and query-to-tuto
   - intents: agentic-coding
 - [CodeMachine CLI Tutorial: Orchestrating Long-Running Coding Agent Workflows](https://github.com/johnxie/awesome-code-docs/blob/main/tutorials/codemachine-cli-tutorial/index.md)
   - intents: agentic-coding
-- [Codex Analysis Platform Tutorial: Build Code Intelligence Systems](https://github.com/johnxie/awesome-code-docs/blob/main/tutorials/codex-analysis-platform/index.md)
-  - intents: production-operations, architecture-deep-dive, agentic-coding
-- ... plus 57 more tutorials in this cluster
+- ... plus 60 more tutorials in this cluster
 
 ## data-and-storage
 

discoverability/tutorial-directory.md

@@ -2,7 +2,7 @@
 
 This page is auto-generated from the tutorial index and is intended as a fast browse surface for contributors and search crawlers.
 
-- Total tutorials: **188**
+- Total tutorials: **191**
 - Source: `scripts/generate_discoverability_assets.py`
 
 ## A
@@ -44,6 +44,8 @@ This page is auto-generated from the tutorial index and is intended as a fast br
 
 ## B
 
+- [BabyAGI Tutorial: The Original Autonomous AI Task Agent Framework](https://github.com/johnxie/awesome-code-docs/blob/main/tutorials/babyagi-tutorial/index.md)
+  - Learn how to use yoheinakajima/babyagi for autonomous task generation, execution, and prioritization—the foundational agent loop that started the autonomous AI agent wave.
 - [Beads Tutorial: Git-Backed Task Graph Memory for Coding Agents](https://github.com/johnxie/awesome-code-docs/blob/main/tutorials/beads-tutorial/index.md)
   - Learn how to use steveyegge/beads to give coding agents durable, dependency-aware task memory with structured issue graphs instead of ad-hoc markdown plans.
 - [BentoML Tutorial: Building Production-Ready ML Services](https://github.com/johnxie/awesome-code-docs/blob/main/tutorials/bentoml-tutorial/index.md)
@@ -120,6 +122,8 @@ This page is auto-generated from the tutorial index and is intended as a fast br
   - Learn how to use daytonaio/daytona to run AI-generated code in isolated sandboxes, integrate coding agents through MCP, and operate sandbox infrastructure with stronger security and resource controls.
 - [Deer Flow Tutorial: Distributed Workflow Orchestration Platform](https://github.com/johnxie/awesome-code-docs/blob/main/tutorials/deer-flow-tutorial/index.md)
   - Orchestrate complex distributed workflows with Deer Flow's powerful task coordination and execution platform.
+- [Devika Tutorial: Open-Source Autonomous AI Software Engineer](https://github.com/johnxie/awesome-code-docs/blob/main/tutorials/devika-tutorial/index.md)
+  - Learn how to deploy and operate stitionai/devika — a multi-agent autonomous coding system that plans, researches, writes, and debugs code end-to-end.
 - [Dify Platform: Deep Dive Tutorial](https://github.com/johnxie/awesome-code-docs/blob/main/tutorials/dify-platform-deep-dive/index.md)
   - Dify — An open-source LLM application development platform for building workflows, RAG pipelines, and AI agents with a visual interface.
 - [DSPy Tutorial: Programming Language Models](https://github.com/johnxie/awesome-code-docs/blob/main/tutorials/dspy-tutorial/index.md)
@@ -192,6 +196,8 @@ This page is auto-generated from the tutorial index and is intended as a fast br
   - Learn how to use Kilo-Org/kilocode for high-throughput coding workflows with multi-mode operation, agent-loop controls, and extensible CLI/IDE integration.
 - [Kimi CLI Tutorial: Multi-Mode Terminal Agent with MCP and ACP](https://github.com/johnxie/awesome-code-docs/blob/main/tutorials/kimi-cli-tutorial/index.md)
   - Learn how to use MoonshotAI/kimi-cli to run an interactive terminal coding agent with configurable modes, MCP integrations, and ACP-based IDE connectivity.
+- [Kiro Tutorial: Spec-Driven Agentic IDE from AWS](https://github.com/johnxie/awesome-code-docs/blob/main/tutorials/kiro-tutorial/index.md)
+  - Learn how to use kirodotdev/Kiro for structured AI-powered development with spec-driven workflows, agent steering, event-driven automation, and AWS-native integrations.
 - [Kubernetes Operator Patterns: Building Production-Grade Controllers](https://github.com/johnxie/awesome-code-docs/blob/main/tutorials/kubernetes-operator-patterns/index.md)
   - Master Kubernetes Operators with hands-on Go implementation using the Operator SDK and controller-runtime library for enterprise application management.
 

discoverability/tutorial-index.json

@@ -1,6 +1,6 @@
 {
   "project": "awesome-code-docs",
-  "tutorial_count": 188,
+  "tutorial_count": 191,
   "tutorials": [
     {
       "cluster": "ai-app-frameworks",
@@ -543,6 +543,35 @@
       "summary": "Learn how to use awslabs/mcp to compose, run, and govern AWS-focused MCP servers across development, infrastructure, data, and operations workflows.",
       "title": "awslabs/mcp Tutorial: Operating a Large-Scale MCP Server Ecosystem for AWS Workloads"
     },
+    {
+      "cluster": "ai-coding-agents",
+      "file_url": "https://github.com/johnxie/awesome-code-docs/blob/main/tutorials/babyagi-tutorial/index.md",
+      "index_path": "tutorials/babyagi-tutorial/index.md",
+      "intent_signals": [
+        "agentic-coding"
+      ],
+      "keywords": [
+        "babyagi",
+        "original",
+        "autonomous",
+        "task",
+        "agent",
+        "framework",
+        "yoheinakajima",
+        "generation",
+        "execution",
+        "prioritization",
+        "foundational",
+        "loop",
+        "started",
+        "wave"
+      ],
+      "path": "tutorials/babyagi-tutorial",
+      "repo_url": "https://github.com/johnxie/awesome-code-docs/tree/main/tutorials/babyagi-tutorial",
+      "slug": "babyagi-tutorial",
+      "summary": "Learn how to use yoheinakajima/babyagi for autonomous task generation, execution, and prioritization\u2014the foundational agent loop that started the autonomous AI agent wave.",
+      "title": "BabyAGI Tutorial: The Original Autonomous AI Task Agent Framework"
+    },
     {
       "cluster": "ai-coding-agents",
       "file_url": "https://github.com/johnxie/awesome-code-docs/blob/main/tutorials/beads-tutorial/index.md",
@@ -1629,6 +1658,40 @@
       "summary": "Orchestrate complex distributed workflows with Deer Flow's powerful task coordination and execution platform.",
       "title": "Deer Flow Tutorial: Distributed Workflow Orchestration Platform"
     },
+    {
+      "cluster": "ai-coding-agents",
+      "file_url": "https://github.com/johnxie/awesome-code-docs/blob/main/tutorials/devika-tutorial/index.md",
+      "index_path": "tutorials/devika-tutorial/index.md",
+      "intent_signals": [
+        "production-operations",
+        "agentic-coding"
+      ],
+      "keywords": [
+        "devika",
+        "open",
+        "source",
+        "autonomous",
+        "software",
+        "engineer",
+        "deploy",
+        "operate",
+        "stitionai",
+        "multi",
+        "agent",
+        "coding",
+        "plans",
+        "researches",
+        "writes",
+        "debugs",
+        "code",
+        "end"
+      ],
+      "path": "tutorials/devika-tutorial",
+      "repo_url": "https://github.com/johnxie/awesome-code-docs/tree/main/tutorials/devika-tutorial",
+      "slug": "devika-tutorial",
+      "summary": "Learn how to deploy and operate stitionai/devika \u2014 a multi-agent autonomous coding system that plans, researches, writes, and debugs code end-to-end.",
+      "title": "Devika Tutorial: Open-Source Autonomous AI Software Engineer"
+    },
     {
       "cluster": "ai-app-frameworks",
       "file_url": "https://github.com/johnxie/awesome-code-docs/blob/main/tutorials/dify-platform-deep-dive/index.md",
@@ -2417,6 +2480,38 @@
       "summary": "Learn how to use MoonshotAI/kimi-cli to run an interactive terminal coding agent with configurable modes, MCP integrations, and ACP-based IDE connectivity.",
       "title": "Kimi CLI Tutorial: Multi-Mode Terminal Agent with MCP and ACP"
     },
+    {
+      "cluster": "ai-coding-agents",
+      "file_url": "https://github.com/johnxie/awesome-code-docs/blob/main/tutorials/kiro-tutorial/index.md",
+      "index_path": "tutorials/kiro-tutorial/index.md",
+      "intent_signals": [
+        "agentic-coding"
+      ],
+      "keywords": [
+        "kiro",
+        "spec",
+        "driven",
+        "agentic",
+        "ide",
+        "aws",
+        "kirodotdev",
+        "structured",
+        "powered",
+        "development",
+        "workflows",
+        "agent",
+        "steering",
+        "event",
+        "automation",
+        "native",
+        "integrations"
+      ],
+      "path": "tutorials/kiro-tutorial",
+      "repo_url": "https://github.com/johnxie/awesome-code-docs/tree/main/tutorials/kiro-tutorial",
+      "slug": "kiro-tutorial",
+      "summary": "Learn how to use kirodotdev/Kiro for structured AI-powered development with spec-driven workflows, agent steering, event-driven automation, and AWS-native integrations.",
+      "title": "Kiro Tutorial: Spec-Driven Agentic IDE from AWS"
+    },
     {
       "cluster": "systems-and-internals",
       "file_url": "https://github.com/johnxie/awesome-code-docs/blob/main/tutorials/kubernetes-operator-patterns/index.md",