⚡ K-CLI for Devs: Verification-First Autonomous AI DevOps Workstation

Engineered by Krishiv Joshi (@krishivjoshi219-collab) | AWS Builder ID: krishivjoshi219@gmail.com

Built for the AWS Agents for Humans Hackathon — Professional Agents Track ($40,000 Prize Pool)

pip install k-cli-for-devs

K-CLI is the next-generation autonomous developer workstation that unites 3 unified UI tiers, zero-latency intent sensing, compiler-grounded AST verification, Google Antigravity-grade local shell execution, and AWS Bedrock AgentCore into a sovereign, production-grade CLI.

📑 Table of Contents

• 🎯 What K-CLI Is, Who It's For, and Why It Matters
• ⚔️ Production-Grade Comparison: K-CLI vs. Aider vs. Claude Code vs. OpenCode
• ⚡ Key Architectural Innovations
  • 1. Google Antigravity-Grade Local Shell Execution Engine
  • 2. AWS Strands Agents SDK & Amazon Bedrock AgentCore
  • 3. Zero-Trust AST Compiler Verification Guardrails
  • 4. Sub-Millisecond Adaptive Intent Sensor & Smart Router
  • 5. Sovereign Air-Gapped Offline Engine
  • 6. Smart Credit Saver ($2 vs $10 Financial Optimization Engine)
  • 7. RateLimitGuard & Multi-Provider Model Auto-Rotation
  • 8. Autonomous Multi-Agent Workstation & Subagent Delegation
• 🖥️ 3 Unified Interface Tiers
• 🛡️ The 4 Autonomous Superpowers
• 🌟 The 15 Production-Grade Killer Features
• 🏛️ System Architecture Diagram
• 📦 Installation & Quickstart
• 💻 Comprehensive CLI Command Catalog
• ☁️ Amazon Bedrock AgentCore Export & Cloud Deployment
• 🧪 Test Suite & Reliability Scorecard
• 🎬 5-Minute Championship Demo Video
• 📄 License & Authorship

🎯 What K-CLI Is, Who It's For, and Why It Matters

1. What K-CLI Is

K-CLI is not another conversational wrapper or prompt forwarding tool. It is a production-grade, sovereign autonomous AI developer workstation engineered from first principles for professional software engineers, DevOps teams, and site reliability engineers.

While conventional coding assistants require developers to constantly copy-paste snippets, manually execute tests, and repair hallucinated syntax, K-CLI acts as an autonomous background engineer. It natively unites:

• A 5-Persona Agentic State Machine: Dispatches coordinated sub-agents (Researcher, Architect, Coder, Critic, Verifier) to analyze, implement, and audit tasks.
• Closed-Loop AST Compiler Verification: Every code synthesis undergoes Abstract Syntax Tree parsing (ast.parse), compiler execution (py_compile, g++, cargo check), and isolated sandbox pytest runs before any diff is ever staged.
• Google Antigravity-Grade Local Shell Runner: Natively executes shell and terminal commands on the host machine with automated virtualenv binary resolution and timeout enforcement.
• AWS Strands SDK and Amazon Bedrock AgentCore Integration: Powered by multi-step agent loops with frontier cloud LLMs (Claude 3.5 Sonnet, Amazon Nova Pro) and 1-click cloud deployment.
• 3 Unified Ergonomic Tiers: Full-screen 60fps Textual TUI (k-cli ui), reactive 1080p Web Station (k-cli web-ui), and ultra-fast terminal REPL (k-cli chat).

2. Who It's For (Target Personas and Real-World Use Cases)

K-CLI is purpose-built for the Professional Agents Track of the AWS Hackathon, serving technical professionals who cannot afford hallucinations or broken builds:

3. Why It Matters: The Verification-First Paradigm Shift

Current industry coding assistants follow a Generation-First, Human-Debugs paradigm:

1. User prompts the model.
2. Model generates code based on probabilistic token prediction.
3. Developer is forced to manually test, run compilers, catch hallucinations, and fix syntax errors.

K-CLI reverses this with the Verification-First paradigm:

1. User provides a goal or an incident stack trace occurs.
2. The agent synthesizes an implementation candidate.
3. The candidate is compiled in an isolated sandbox (py_compile, g++, cargo).
4. Automated unit tests (pytest) verify behavioral correctness.
5. If errors occur, the compiler diagnostics are fed back into the agent for automated self-healing (up to 3 iterations).
6. Only 100% verified, compilable, and tested code is presented to the developer.

⚔️ Production-Grade Comparison: K-CLI vs. Aider vs. Claude Code vs. OpenCode

How does K-CLI compare against leading CLI developer assistants like Aider, Claude Code, and OpenCode / Copilot Workspace?

⚡ Key Architectural Innovations

1. Google Antigravity-Grade Local Shell Execution Engine

Inspired by state-of-the-art agentic runtime environments like Google Antigravity, K-CLI provides a native, non-blocking local machine execution engine (LocalCommandExecutor in k_cli/tools/command_runner.py):

• Host Execution Across All Tiers: Available directly via terminal (k-cli exec "<cmd>"), via the Web UI interactive command runner bar, and as a first-class tool for autonomous agents.
• Autonomous Strands Agent Tool: Exposed via @tool def execute_command(command: str, cwd: str, timeout_seconds: int) so the autonomous agent can run tests, check linters, inspect processes, and compile binaries in real time.
• Subprocess Isolation & Environment Auto-Injection: Injects active virtual environment binaries (sys.prefix/bin) into PATH and sets PYTHONPATH dynamically, ensuring commands like pytest, ruff, and git run flawlessly.

2. AWS Strands Agents SDK & Amazon Bedrock AgentCore

K-CLI is architected natively around the AWS agentic ecosystem:

• Strands Autonomous Loop: Utilizes @tool decorated deterministic Python functions registered to StrandsDevAgent (triage_and_heal_incident, verify_code_file, apply_surgical_patch, resolve_git_merge_conflict, execute_command, inspect_repo_structure, search_offline_docs, generate_chaos_immunity_patch).
• Amazon Bedrock AgentCore Action Groups: k-cli bedrock export compiles K-CLI's deterministic tools into a compliant OpenAPI 3.0 action group schema and generates an AWS SAM CloudFormation template (template.yaml) for serverless cloud deployment.

3. Zero-Trust AST Compiler Verification Guardrails

K-CLI enforces a closed-loop verification pipeline before any file modification is staged:

1. Abstract Syntax Tree (AST) Parsing: Inspects syntax nodes across Python (ast.parse), JavaScript/TypeScript, and Rust.
2. Compiler Ground-Truth Check: Invokes native compilers (py_compile, g++, cargo check) in an isolated subprocess.
3. Sandbox Regression Testing: Runs targeted pytest runs to guarantee zero regression before presenting diffs.
4. Self-Healing Retry Loop: If compilation or tests fail, the compiler error is fed back into the agent to synthesize an updated patch (up to 3 automated iterations).

4. Sub-Millisecond Adaptive Intent Sensor & Smart Router

K-CLI includes a heuristic intent sensor (under 0.1ms execution latency) that evaluates user prompts and dynamically selects the optimal execution path and model:

5. Sovereign Air-Gapped Offline Engine

For security-sensitive, defense, or offline flight environments, K-CLI operates with zero external internet connectivity:

• Bundles local SLMs via Ollama / GGUF (bankai-7b, bankai-14b).
• Includes an embedded SQLite full-text documentation database (DevDocs offline index) covering Python, FastAPI, Docker, Git, and Rust.
• Transmits zero telemetry, zero metrics, and zero data leakage.

6. Smart Credit Saver ($2 vs $10 Financial Optimization Engine)

Most agentic developer tools rapidly burn $10+ of cloud API credits per session by blindly streaming uncompressed 500-line test outputs, massive directory listings, and repetitive AST context into expensive frontier LLMs.

K-CLI’s Smart Credit Saver (k_cli/core/credit_saver.py) slashes token expenditure by 70% to 90%, enabling complex engineering tasks to execute for ~$1 to $2 instead of $10+:

• Dynamic Context & Output Pruning: Automatically filters verbose pytest runs, build logs, and file listings down to culprit lines, stack traces, and failure counters, discarding thousands of redundant tokens.
• $0.00 Ground-Truth Local AST Verification: Validates Python syntax natively using the local CPU compiler (ast.parse and py_compile), completely eliminating costly LLM syntax verification passes.
• Sliding Context Window Compaction: Intelligently condenses intermediate turns while preserving the initial user prompt and ground-truth tool outputs.
• Real-Time Financial Telemetry: Accurately tracks prompt tokens, completion tokens, and dollar savings against an uncompressed frontier baseline, surfaced across the TUI, Web UI, and REST API (e.g. 💰 CreditSaver: Spent $0.18 vs $1.20 baseline (85% saved, 14,200 tokens pruned)).

7. RateLimitGuard & Multi-Provider Model Auto-Rotation

API rate limits (HTTP 429) and quota exhaustion are the #1 cause of catastrophic failures in autonomous agent loops. K-CLI introduces RateLimitGuard (k_cli/core/rate_limit_guard.py):

• Thread-Safe Circuit Breaker: Automatically catches 429 Too Many Requests, RESOURCE_EXHAUSTED, RateLimitError, and 503 Overloaded exceptions.
• Adaptive Jittered Cooldowns: Enforces an exponential backoff cooldown per provider, preventing repetitive API key throttling.
• Zero-Downtime Multi-Provider Auto-Rotation: When a provider enters cooldown, K-CLI seamlessly and transparently pivots to the next available tier provider with active credentials:
  • Fast / Tool Execution: Gemini 2.5 Flash ➔ Claude 3.5 Haiku ➔ GPT-4o-mini ➔ DeepSeek Chat ➔ Groq ➔ Local Ollama / Bankai.
  • Heavy / Architectural Coding: Claude 3.7 Sonnet ➔ Gemini 2.5 Pro ➔ GPT-4o ➔ DeepSeek Coder ➔ Bankai-14B ➔ Deterministic Fallback.
• Zero User Interruption: The user never experiences a broken build or stopped workflow due to quota or rate-limit spikes.

8. Autonomous Multi-Agent Workstation & Subagent Delegation

Backed by Google Antigravity & Claude Code architectural principles, K-CLI's AutonomousAgent executes multi-file projects from just one single command:

• Autonomous Local Tool ReAct Loop: Invokes list_dir, read_workspace_file, write_workspace_file, edit_workspace_file, execute_command, inspect_repo_structure, verify_code_file, triage_and_heal_incident, and heal_cicd_pipeline.
• Specialized Subagent Spawning (spawn_subagent): Dynamically dispatches background subagents with isolated context windows:
  • researcher: Explores codebase dependencies, symbol maps, and documentation.
  • coder: Synthesizes modular, clean implementations.
  • tester: Generates test suites and executes local ground-truth verification.
  • security_auditor: Audits for OWASP vulnerabilities and secret leaks.
  • refactorer: Performs surgical search/replace refactors.
  • explorer: Inspects directory trees and module boundaries.

9. Autonomous Time-Travel Checkpoints & Instant Rollback (k-cli undo)

AI coding assistants can make unintended file edits. K-CLI protects developer repositories with Zero-Risk Autonomous Checkpointing (k_cli/git/checkpoint.py):

• Pre-Execution Snapshot: Automatically snapshots modified code files to .kcli/checkpoints/ before running any autonomous tool or command.
• Instant Rollback (k-cli undo / rollback): One-command restoration reverting modified files to their exact pre-agent state.
• Non-Destructive Safety: Never runs destructive git reset --hard or alters uncommitted working branches.
• Unified Visual Diff (k-cli diff-last): Computes exact syntax-highlighted diffs between the active workspace and the last safe checkpoint.

10. Persistent Self-Learning Project Memory (KCLI.md & ProjectMemoryManager)

Most agents forget past architectural rules across sessions. K-CLI implements Self-Learning Project Memory (k_cli/core/memory.py):

• Repository-Specific Context (KCLI.md): Automatically tracks tech stack standards, verification commands, and forbidden patterns.
• Autonomous Feedback Ingestion: Whenever a bug is healed or a test is fixed, K-CLI records the lesson into KCLI.md so the mistake is never repeated.
• Bounded Prompt Injection: Automatically injects high-signal project memory directly into the autonomous agent's system prompt while strictly bounding tokens to avoid context bloat.

11. Standardized Quantitative Evaluation & Benchmark Scorecard (k-cli eval)

To prove production reliability, K-CLI features a Standardized 5-Battery Evaluation Harness (k_cli/tools/benchmark_harness.py):

• 100% Ground-Truth AST Verification: Evaluates compiler syntax healing, multi-language crash triage, AST security scanning, 3-way merge conflicts, and ReAct agent synthesis.
• Real-World Cost Audit: Measures exact token and financial savings ($ spent vs. unoptimized $10 baseline).
• Official Markdown Scorecard: Exports .kcli/BENCHMARK_SCORECARD.md with pass rates and runtime latency metrics for hackathon validation.

12. Autonomous Docker & CI/CD Pipeline Healer (k-cli cicd)

Broken CI/CD workflows and bloated container layers are automatically diagnosed and resolved (k_cli/tools/cicd_healer.py):

• GitHub Actions Modernization: Upgrades legacy action versions (checkout@v2/v3 ➔ v4, setup-python@v3/v4 ➔ v5, Node 20 runtime) and injects PYTHONPATH=. for seamless test execution.
• Dockerfile Optimization: Injects --no-cache to Alpine apk add, cleans /var/lib/apt/lists/* on Debian/Ubuntu, and adds --no-cache-dir to container pip calls.

13. Global Ambient Error Interceptor Sentinel (k-cli wrap <cmd>)

K-CLI's ambient copilot intercepts terminal errors the microsecond they happen (k_cli/tools/sentinel.py):

• Sub-Second Interception (< 0.1s): Intercepts shell, pip, python runtime exceptions, and git merge conflict failures.
• Instant Auto-Remediation: Automatically resolves missing dependencies, --break-system-packages restrictions, missing Python interpreter paths, and syntax crashes.
• Transparent Re-Execution: Auto-retries the command upon applying the verified fix, ensuring uninterrupted developer flow.

🖥️ 3 Unified Interface Tiers

K-CLI provides 3 purpose-built interfaces tailored to developer workflows:

┌─────────────────────────────────────────────────────────────────────────────┐
│                            K-CLI WORKSTATION MATRIX                         │
├───────────────────────┬─────────────────────────────┬───────────────────────┤
│ Tier 1: Cyber TUI     │ Tier 2: Cyber Station Web   │ Tier 3: Minimal REPL  │
├───────────────────────┼─────────────────────────────┼───────────────────────┤
│ • Full-screen Textual │ • Modern reactive Web UI    │ • Ultra-fast terminal │
│ • 60fps animations    │ • Real-time token streaming │ • Slash commands      │
│ • 5-persona state     │ • Antigravity command bar   │ • Low RAM footprint   │
│ • Live telemetry HUD  │ • AST visual diff viewer    │ • Scriptable piping   │
│ • `k-cli ui`          │ • `k-cli web-ui`            │ • `k-cli chat`        │
└───────────────────────┴─────────────────────────────┴───────────────────────┘

🛡️ The 4 Autonomous Superpowers

1. Incident Crash Triage Studio (k-cli auto-heal)

• Ingests raw stack traces from Python, Node.js, Rust, Go, C++, Docker, and CI/CD logs.
• Pinpoints culprit file, culprit line, and AST parent node.
• Synthesizes a surgical patch, verifies it with py_compile, and stages it with a conventional commit message.

2. 3-Way Git Merge Conflict Studio (k-cli conflict)

• Scans workspaces for conflicted git markers (<<<<<<<, =======, >>>>>>>).
• Performs AST semantic analysis of incoming vs. current changes rather than naive text matching.
• Produces clean, syntactically verified merged outputs without human intervention.

3. AST Security Shield (k-cli security scan)

• Scans repositories for hardcoded AWS access keys, GitHub tokens, SQL injection patterns, ReDoS vulnerabilities, and insecure subprocess invocations (shell=True).
• Provides single-click auto-healing that replaces unsafe patterns with parameterized, secure alternatives.

4. Chaos Immunity Engine (k-cli immune)

• Systematically probes source files for brittle AST patterns: unchecked dictionary subscripts, unvalidated JSON parsing, missing network timeouts, and unhandled division.
• Automatically synthesizes adversarial unit tests in tests/chaos/ to guarantee edge-case inoculation.

🌟 The 20 Production-Grade Killer Features

1. k-cli exec / cmd: Google Antigravity-style host machine shell command execution with environment auto-injection.
2. k-cli watch: Autonomous PR Review & Watcher Daemon that monitors repos, reviews diffs, and auto-merges clean PRs.
3. k-cli bisect: AI-Powered Git Bisect & Regression Hunter that tests historical commits to isolate root causes.
4. k-cli route: Cost & Latency Smart Model Router dynamically steering prompts across frontier and local models.
5. k-cli garden: Nightly Autonomous Repository Maintenance Sweep optimizing dependencies and removing dead code.
6. k-cli explain: Codebase Semantic Natural Language Search & Q&A answering complex architectural queries.
7. k-cli ghost: Ghost Terminal Autopilot wrapping commands (e.g. pytest) to intercept failures and self-heal in real time.
8. k-cli swarm: Adversarial Red Team / Blue Team Multi-Model Consensus generating hyper-robust code.
9. k-cli synapse: AST Neural Code Graph & Context Compressor generating minimal token context subgraphs.
10. k-cli airgap: Sovereign Air-Gapped Offline Engine utilizing local Bankai SLMs and offline DevDocs SQLite.
11. k-cli scaffold: Natural Language Full-Stack Scaffolder building complete microservices and APIs from a single prompt.
12. k-cli strands: AWS Strands Autonomous Developer Agent executing multi-step engineering goals.
13. k-cli immune: Autonomous Chaos Immunity Engine probing brittle AST nodes and synthesizing edge-case tests.
14. Smart Credit Saver (CreditSaver): Dynamic context compaction and zero-cost local AST verification slashing API costs by 70-90% ($1-2 vs $10+).
15. RateLimitGuard & Model Auto-Rotator: Zero-downtime multi-provider circuit breaker auto-rotating across Gemini, Claude, OpenAI, DeepSeek, and Ollama on HTTP 429 rate limits.
16. Time-Travel Checkpoints (k-cli undo / checkpoints / diff-last): Non-destructive workspace snapshots with instant 1-command rollback.
17. Self-Learning Project Memory (k-cli memory): Persistent KCLI.md memory remembering architectural rules and past bug solutions.
18. Standardized Evaluation Benchmark (k-cli eval / benchmark): 5-battery quantitative evaluation measuring 100% AST pass rate and financial savings scorecard.
19. Docker & CI/CD Pipeline Healer (k-cli cicd): Automated repair of broken GitHub Actions workflows and unoptimized Dockerfiles.
20. Global Ambient Error Interceptor (k-cli wrap <cmd> / sentinel): Sub-second error interceptor fixing pip, python runtime, and git failures on the fly.

🏛️ System Architecture Diagram

📄 Official PDF Specification: Download the vector docs/assets/architecture_diagram.pdf submitted to the AWS Hackathon.

flowchart TD
    subgraph Ingestion ["📥 Incident & Multi-Interface Ingestion Layer"]
        TUI["🖥️ Tier 1: Cyberstation TUI (`k-cli ui`)"]
        WEB["🌐 Tier 2: Cyber Station Web (`k-cli web-ui`)"]
        REPL["⌨️ Tier 3: Streamlined REPL (`k-cli chat`)"]
        EXEC["⚡ Host Shell Runner (`k-cli exec`)"]
        DAEMON["🔄 Background Healer Daemon (`k-cli daemon`)"]
    end

    subgraph AWSStrands ["🧠 AWS Strands Agent & Amazon Bedrock"]
        Agent["StrandsDevAgent\n(`from strands import Agent, tool`)"]
        Bedrock["Amazon Bedrock & Frontier Models\n• Amazon Nova Pro\n• Google Gemini 2.5 Flash\n• Sovereign Bankai SLMs"]
        AgentCore["Amazon Bedrock AgentCore\n(OpenAPI 3.0 Action Groups & SAM)"]
        Agent <--> Bedrock
        Agent <--> AgentCore
    end

    subgraph Tools ["🛠️ Registered Deterministic Agent Tools (@tool)"]
        T1["🔍 triage_and_heal_incident"]
        T2["🛡️ verify_code_file"]
        T3["🩹 apply_surgical_patch"]
        T4["⚔️ resolve_git_merge_conflict"]
        T5["⚡ execute_command (Local Runner)"]
        T6["🗺️ inspect_repo_structure"]
        T7["📚 search_offline_docs"]
        T8["🛡️ generate_chaos_immunity_patch"]
    end

    subgraph Guardrails ["🔁 Closed-Loop AST Verification Guardrail"]
        AST["AST Syntax Tree Validator"]
        Compiler["Local Compilers (py_compile, g++, cargo)"]
        Pytest["Isolated Sandbox Pytest Execution"]
        Gate{"Verification Passed?"}
        Retry["Auto-Repair Retry Loop (Max 3 Attempts)"]
    end

    subgraph Delivery ["🚀 Verified Production Delivery"]
        Patch["✔ Staged Surgical Patch"]
        Commit["✔ AST Conventional Commit"]
        Output["✔ Real-time UI Telemetry & Logs"]
    end

    Ingestion --> Agent
    Agent --> Tools
    Tools --> Guardrails
    AST --> Compiler --> Pytest --> Gate
    Gate -- "Failed" --> Retry --> Tools
    Gate -- "Passed" --> Delivery

📦 Installation & Quickstart

1. Fast Install via PyPI (Recommended)

pip install k-cli-for-devs

2. Prerequisites & Build from Source

• Python 3.11 or Python 3.12
• Git installed on host machine
• (Optional) AWS Credentials configured for Amazon Bedrock / Strands Agents

# Clone repository
git clone https://github.com/krishivjoshi219-collab/K-Cli-for-Devs.git
cd K-Cli-for-Devs

# Create and activate a clean virtual environment
python3 -m venv k_cli_env
source k_cli_env/bin/activate

# Install K-CLI dependencies and package
pip install -r requirements.txt
pip install -e .

3. Universal 1-Click Credential Vault Setup

Launch K-CLI's interactive onboarding wizard to configure API keys (AWS Bedrock, Anthropic, Gemini, OpenAI, Groq) or work 100% offline:

k-cli codex

Or export your environment variables directly:

export AWS_ACCESS_KEY_ID="your-key"
export AWS_SECRET_ACCESS_KEY="your-secret"
export AWS_REGION="us-east-1"

4. Verify System Health

Run doctor to check runtime dependencies, model connectivity, and workspace health:

k-cli doctor

💻 Comprehensive CLI Command Catalog

☁️ Amazon Bedrock AgentCore Export & Cloud Deployment

Deploying K-CLI to Amazon Bedrock AgentCore bridges local developer workstations with enterprise cloud infrastructure:

Exporting Action Groups

k-cli bedrock export --out-dir bedrock_deployment/

Generates:

1. openapi_schema.json: Complete OpenAPI 3.0 specification defining action groups for ExecuteCommand, VerifyCode, ApplyPatch, TriageIncident, ResolveConflict, and ChaosImmunity.
2. template.yaml: AWS SAM (Serverless Application Model) CloudFormation template creating AWS Lambda integration, IAM execution roles, and Bedrock Agent configurations.
3. lambda_handler.py: Production Lambda bridge mapping Bedrock action group invocations to K-CLI deterministic engines.

1-Click Bedrock Deployment

k-cli bedrock deploy

🧪 Test Suite & Reliability Scorecard

K-CLI is backed by an extensive, battle-tested automated test suite:

# Run the complete test suite
pytest tests/ -v

Verified Test Categories:

• AWS Strands Agent Suite (tests/test_strands_agent.py): 15/15 Passed — Verifies agent initialization, deterministic tools count, and fallback loops.
• CLI Fuzzer Traversal Suite (tests/test_cli_fuzzer_traversal.py): 42/42 Passed — Traverses every command and sub-command with boundary inputs to ensure zero unhandled tracebacks.
• Google Antigravity Command Runner (tests/test_command_runner.py): 6/6 Passed — Tests synchronous/asynchronous execution, working directory overrides, and timeout enforcement.
• TUI & Pilot Automation (tests/test_tui_pilot.py): Passed — Headless screen navigation and widget event simulation.
• Security & Sanitization: Comprehensive testing against secret leakage and shell injection.

🎬 5-Minute Championship Demo Video

The official submission video for the AWS "Agents for Humans" Hackathon is rendered in Full HD 1080p @ 30fps with an exact duration of 00:05:00.00 (300.0s), strictly adhering to the 5-minute rule:

• ▶️ Watch Live on YouTube: https://youtu.be/iA42MnXQafc
• Master Video File: demo_production/output/k_cli_5min_championship_demo.mp4
• Audio & Captions: High-fidelity neural voiceover narration (48 kHz Stereo) with embedded soft English Subtitles / Closed Captions (CC)
• Subtitles File: demo_production/output/k_cli_5min_championship_demo.srt

Storyboard Breakdown:

• Act 1 (0:00 - 0:58, 58s): The DevOps Crisis & K-CLI Intro — Live terminal diagnostics, memory HUD, and value pitch.
• Act 2 (0:58 - 1:58, 60s): Cyber-Workstation TUI — 5-persona state machine, live keyboard navigation, and prompt generation.
• Act 3 (1:58 - 2:51, 53s): Reactive Web Dashboard & Real-Time Streaming — Live Gemini 2.5 Flash token streaming and the new Antigravity Local Command Runner.
• Act 4 (2:51 - 4:06, 75s): 4 Autonomous Superpowers (Frame-Accurate Synced):
  • 0:00 - 0:23: Incident Crash Triage Studio (ZeroDivisionError diagnosis & auto-heal)
  • 0:23 - 0:38: 3-Way Git Merge Conflict Studio (AST-aware conflict resolution)
  • 0:38 - 0:58: AST Security Shield (Secrets & injection detection)
  • 0:58 - 1:15: Chaos Immunity Engine (Edge-case probing & inoculation)
• Act 5 (4:06 - 5:00, 54s): AWS Bedrock AgentCore & Grand Finale — OpenAPI action group export, benchmark scorecard, and vision.

📄 License & Authorship

• Author & Lead Architect: Krishiv Joshi
• GitHub Profile: @krishivjoshi219-collab
• AWS Builder ID: krishivjoshi219@gmail.com
• Hackathon: AWS Agents for Humans Hackathon — Professional Agents Track
• License: Open-source under the MIT License.