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Invest in your Engineering Velocity

Scale Your Engineering Velocity With Claude Code

For engineers, the challenge isn’t learning what an AI agent is. It’s cutting through the noise to find tools that actually work. We provide the exact guardrails and advanced Claude Code workflows your senior team needs to confidently ship production-ready code at high velocity, eliminating output that misses the mark.

Master Production-Ready AI

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Are Your Developers Stuck in "Agentic Fatigue"?

Engineers are spending more time context-switching and managing context bloat than actually building.

Most AI training focuses purely on theory. They teach you how to “talk” to an AI. But without guardrails, theory leads to inefficient loops, poor observability, and wasted cycles.

We focus on execution. We move your engineers beyond generic AI interactions and into mastering the architecture of implementation.
claude — orders-service
$ claude "Add cursor pagination to /api/v2/orders"> Read(src/api/orders/handler.ts) · Grep("pagination") · Read × 23> Bash(npm test) 3 failed> Edit(src/api/orders/handler.ts) · Bash(npm test) 3 failed> Allow Edit(.env)? (y/n) y> Context left until auto-compact: 4%> Compacting conversation…> Read(src/api/orders/handler.ts) · Grep("pagination") · Read × 19> Bash(npm test) 5 failedyou: use the existing paginate() helper in src/lib. I said this an hour ago.
reads 42test runs 3hooks none

Comprehensive Syllabus

The 5-Day Track to Effective Use of Claude Code

Designed by practitioners for senior remote teams. Learn to architect, lead, and deliver in an AI-native world using Claude Code.

  1. Day 1

    Fundamentals & The Agentic Loop

    Transition from basic token prediction to iterative, agentic execution environments. Master the five phases: Perceive, Plan, Act, Observe, Decide.

    Core concepts

    • Critical Limitations of LLMs
    • Plan Mode vs. Direct Execution Workflow
    • Pre-Flight Scoping & Boundaries
    • Steering (/compact, /rewind, /goal, /loop)

    Practical lab

    Setup demo repository. Master session management, switch seamlessly between interactive steering and configuring autonomous self-correcting loops.

  2. Day 2

    Context Management & Isolation

    Context is a hard, finite resource. Poor management leads to hallucinations, amnesia, and spiraling token costs. Learn to isolate and externalize knowledge.

    Core concepts

    • Context Accumulation & Eviction Traps
    • Four Scopes of CLAUDE.md
    • Guidance vs. Strict Enforcement (Hooks)
    • Defining Reusable Bundles: SKILLS

    Practical lab

    Demonstrate context bloat costs. Create persistent team context via CLAUDE.md, structure deterministic rules, and build your first custom skills.

  3. Day 3

    Tools, Hooks & Sub-agents

    Bridge Claude with external systems. Implement programmatic guardrails and spawn parallel, context-isolated workflows to prevent main-thread overload.

    Core concepts

    • Actions (Tools) vs. References (Resources)
    • Security: PreToolUse Hooks (e.g., block .env)
    • Logging: PostToolUse Hooks
    • Agent-to-Agent Delegation

    Practical lab

    Navigate /.claude. Spawn isolated sub-agents for parallel refactoring. Write Python hooks to enforce absolute security boundaries on file execution.

  4. Day 4

    Model Context Protocol (MCP) & Evals

    Unify your tool ecosystem with MCP, the open standard for AI model communication, and fight prompt drift with rigorous evaluation frameworks.

    Core concepts

    • MCP Architecture (Host, Transport, Server)
    • Local (stdio) vs Remote (HTTP/SSE) Transport
    • Prompt Engineering as Versioned Code
    • Combating Drift: Offline vs. Online Evals

    Practical lab

    Deploy standard community MCP servers (GitHub, Playwright). Write a custom MCP server to securely decouple Claude from backend SaaS APIs.

  5. Day 5

    Observability & The Agent SDK

    Stop flying blind in production. Implement OpenTelemetry (OTel) for transparent AI workflows and integrate Anthropic’s programmatic SDKs for enterprise applications.

    Core concepts

    • OTel Standards: Metrics, Logs, and Traces
    • Claude Code Telemetry Configuration
    • Raw Anthropic API (Stateless) vs. CLI
    • Building with the Claude Agent SDK

    Practical lab

    Turn on native ENABLE_TELEMETRY=1 tracking. Manage human-in-the-loop interventions via API. Build stateful scripts using the Agent SDK.

35%
faster delivery, reported by xfive
5 days
one hour per day
Aug 2026
xfive cohort trained
The advanced use of the AI model has significantly improved our delivery speed by 35% without any negative impact on quality. In fact, we’ve noticed that our quality has even improved.
Milosz Bazela, CEO, xfive

Read the xfive case study

Program Details

Built for Velocity.

We know your team is shipping. This training is structured to seamlessly integrate into your sprint without killing momentum, led directly by a Certified Claude AI & AWS Solutions Architect.

Format

1 Hour Per Day for 1 Week

High-signal sessions optimized for daily retention without blocking workloads.

What your engineers receive

  • Access to a Demo Code Repo
  • Daily Session Notes
  • Daily Session Recordings
  • Course Email Support
  • Official Course Certificate

More Than a Lecture

A Catalyst for Engineering Culture

This isn’t a passive webinar; it’s a strategic, interactive workshop designed to immediately upgrade your team’s baseline. Our training forces teams to answer the hard questions.

The Path to Deployment

How We Engage Your Team

A seamless, professional onboarding framework designed to respect your sprint cycles and deliver measurable engineering ROI.

  1. 01

    Strategic Discovery & Scheduling

    We initiate a pre-course diagnostic to map your team’s specific experience, operational bottlenecks, and target improvements. We then lock in your daily 1-hour sessions (available 8:00 AM – 5:00 PM AEST) exactly one week in advance to ensure zero sprint disruption.

  2. 02

    Execution & Validation

    Following the conclusion of the mastery track, we deploy a post-course survey to capture immediate qualitative feedback. Every successful participant is then issued an Official Course Certificate to validate their fluency in advanced Claude architectures.

  3. 03

    Executive ROI Review

    We don’t just train and walk away. Exactly two weeks after the course concludes, we loop back with your Engineering Leadership. Together, we evaluate the tangible progress, measure velocity gains, and understand how the training has improved initial bottlenecks, and if there is a need for further training.

  4. 04

    Continuous Augmentation

    To support long-term success, we remain available for post-course implementation and consultancy. Whether you need fractional expertise or fixed staff augmentation, X-Team can embed senior engineers to directly support and scale your internal AI initiatives.

Stop Experimenting. Start Shipping Production-Ready AI.

Give your engineers the exact guardrails and advanced workflows they need to increase developer velocity and confidence. Keep Moving Forward.

Schedule a discovery session to align this advanced curriculum with your team’s production standards.

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