| name | emerging-tech |
| description | Emerging technologies (prompt engineering, AI agents, red teaming) and leadership roles (product manager, engineering manager, DevRel). |
| triggers | prompt engineering, ai-agents, leadership, pm, product manager, engineering manager, devrel, llm, red teaming |
| parameters | [object Object] |
| outputs | [object Object] |
| retry | [object Object] |
| observability | [object Object] |
| level | advanced |
| prerequisites | industry-experience |
Emerging Technologies Skill
Quick Reference
| Technology | Timeline | Demand | Entry Point |
|---|---|---|---|
| Prompt Engineering | 2-4 wk | Very High | Any developer |
| AI Agents | 4-6 wk | Very High | Python developer |
| AI Red Teaming | 6-8 wk | High | Security background |
| Product Management | 3-6 mo | High | Any engineer |
| Engineering Management | 3-6 mo | High | Senior engineer |
Emerging Tech Paths
Prompt Engineering
[1] Basic Prompting (3-5 days)
│ └─ Clear instructions, context
│
▼
[2] Few-shot Learning (3-5 days)
│ └─ Examples, patterns
│
▼
[3] Chain-of-Thought (3-5 days)
│ └─ Step-by-step reasoning
│
▼
[4] Structured Output (3-5 days)
│ └─ JSON, schemas, validation
│
▼
[5] Optimization (ongoing)
└─ Evaluation, iteration
Key Techniques:
| Technique | Description | Use When |
|---|---|---|
| Zero-shot | Direct instruction | Simple tasks |
| Few-shot | Examples provided | Pattern matching |
| CoT | Step-by-step | Complex reasoning |
| Role-based | Persona assignment | Expert behavior |
| Structured | Format constraints | Integration |
AI Agents (2025 Hot Skill)
[1] LLM Fundamentals (1 wk)
│ └─ Tokens, embeddings, context
│
▼
[2] Tool Calling (1 wk)
│ └─ Function definitions, execution
│
▼
[3] Agent Architecture (2 wk)
│ └─ Perceive-Reason-Act loop
│
▼
[4] Error Handling (1 wk)
│ └─ Retries, fallbacks, guardrails
│
▼
[5] Production Deploy (ongoing)
└─ Monitoring, evaluation
Agent Architecture:
┌─────────────────────────────────────────┐
│ AGENTIC LOOP │
├─────────────────────────────────────────┤
│ 1. PERCEIVE: Observe, gather context │
│ │ │
│ ▼ │
│ 2. REASON: LLM decides next action │
│ │ │
│ ▼ │
│ 3. ACT: Execute tools/APIs │
│ │ │
│ ▼ │
│ 4. REFLECT: Evaluate, update strategy │
│ │ │
│ └─► Loop until goal or max │
└─────────────────────────────────────────┘
Design Patterns (Anthropic 2025):
| Pattern | Description | Best For |
|---|---|---|
| Prompt Chaining | Sequential fixed steps | Predictable workflows |
| Routing | Classify and dispatch | Multi-domain tasks |
| Parallelization | Concurrent subtasks | Speed optimization |
| Orchestrator-Workers | Central delegation | Complex decomposition |
| Evaluator-Optimizer | Generate + critique | Quality-critical |
AI Red Teaming
[1] LLM Security Basics (1-2 wk)
│ └─ Attack surfaces, vulnerabilities
│
▼
[2] Adversarial Prompting (2 wk)
│ └─ Jailbreaks, prompt injection
│
▼
[3] Bias Testing (2 wk)
│ └─ Demographic probes, fairness
│
▼
[4] Safety Evaluation (2 wk)
└─ Guardrails, alignment testing
Techniques:
| Category | Method | Goal |
|---|---|---|
| Jailbreaking | Bypass safety | Test guardrails |
| Prompt Injection | Hidden instructions | Test input handling |
| Bias Testing | Demographic probes | Find unfair outputs |
| Adversarial | Edge cases | Find failure modes |
Leadership Paths
Product Management
Timeline: 3-6 months transition
Core Responsibilities:
- Vision & Strategy
- User Research
- Feature Prioritization
- Roadmapping
- Success Metrics
Key Skills:
| Skill | Why Important |
|---|---|
| Communication | Align stakeholders |
| Data Analysis | Evidence-based decisions |
| User Empathy | Build right features |
| Prioritization | Focus on impact |
| Technical Literacy | Credibility with eng |
Frameworks:
- Prioritization: RICE, MoSCoW, Kano
- Discovery: Jobs-to-be-Done, Design Sprints
- Metrics: AARRR, North Star
Engineering Management
Timeline: 3-6 months transition
Responsibilities:
- Hire & develop engineers
- 1:1s and feedback
- Remove blockers
- Set goals and vision
- Team culture and health
Key Skills:
| Skill | Why Important |
|---|---|
| Delegation | Scale yourself |
| Feedback | Grow your team |
| Strategic Thinking | Long-term planning |
| Emotional Intelligence | Handle people issues |
| Technical Literacy | Maintain credibility |
Common Challenges:
- Letting go of coding
- Difficult conversations
- Managing former peers
- Up vs down management
Developer Relations
Timeline: 2-3 months transition
Responsibilities:
- Community engagement
- Content creation
- Developer advocacy
- Feedback gathering
- Trust building
Content Types:
| Type | Platform | Effort |
|---|---|---|
| Blog posts | Dev.to | Medium |
| Tutorials | Docs | Medium |
| Videos | YouTube | High |
| Talks | Conferences | High |
| Examples | GitHub | Low |
Career Transitions
| From | To | Difficulty | Key Bridge |
|---|---|---|---|
| Dev → PM | Medium | Product sense + communication | |
| Dev → EM | Medium | Leadership + people skills | |
| Dev → DevRel | Low | Communication + community | |
| Dev → Architect | Medium | System design + strategy |
Leadership Ladder
Individual Contributor (0-2 yr)
│
▼
Lead / Senior (2-5 yr)
│
▼
Manager (5+ yr)
│
┌────┴────┐
▼ ▼
IC Track Management Track
(Staff, (Director,
Principal) VP, CTO)
Troubleshooting
Want to transition to PM?
├─► Build product sense: analyze products you use
├─► Get experience: side projects, internal transfers
├─► Learn frameworks: RICE, user research
└─► Network: talk to PMs, understand their day
Want to become a manager?
├─► Start mentoring: lead projects, help juniors
├─► Build soft skills: communication, feedback
├─► Understand: you're not coding anymore
└─► Talk to: your manager about the path
AI agent not working?
├─► Tool definitions clear? → Improve docs
├─► Context window full? → Summarize
├─► Looping forever? → Add max iterations
└─► Wrong tools called? → Improve routing
Common Failure Modes
| Symptom | Root Cause | Recovery |
|---|---|---|
| PM rejected by eng | Too many requirements | Fewer, clearer asks |
| Team not performing | Micromanaging | Delegate more |
| Agent loops forever | No exit condition | Max iterations |
| Community not engaging | Wrong content | Ask what they need |
Next Actions
Specify your interest area (emerging tech or leadership) for detailed guidance.