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Elite track
Agentic Systems & Harness Engineering
Orchestrate deterministic fleets of cloud-native agents with rigorous outer-loop verification.
Master advanced harness engineering: outer-loop verification systems, Just-In-Time (JIT) Context Hubs with semantic routing, cloud-native sandboxed code execution, and strict human-in-the-loop (HITL) guardrails. You build enterprise-grade agent platforms optimized for 2026 model economics (Luna, Sol, Muse Spark), bridging directly to Operating Systems, Distributed Systems, and Verification Compilers.
Week by week
Mapped week by week.
Every week unlocks the next. Concepts route you to free, world-class material; projects turn that knowledge into something deployed.
W1
Week 1
Foundations of Harness Engineering & Loop Crafting
Engineer deterministic execution harnesses, multi-turn agent run-loops, and structured context state management separating core reasoning from environment orchestration.
Bridges to Operating Systems — processes, scheduling, and the run loop
Builds on: nothing, start here
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W2
Week 2
Dynamic Inline Tooling, MCP & Cache-Preserving Toolmaking
Architect agent tool harnesses using mid-session dynamic tool addition without KV-cache invalidation. Transition away from rebuilding static tool arrays every turn to incremental Model Context Protocol (MCP) bindings, granular cache breakpoints, and schema management.
Bridges to Software Engineering — interface design and API contracts
Builds on: Foundations of Harness Engineering & Loop Crafting
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W3
Week 3
Model Context Protocol (MCP) & Context Engineering
Implement the Model Context Protocol (MCP) to standardize tool interfaces, contextual resource exposure, and dynamic prompt templates, moving beyond context-bloating raw schemas to sandboxed code execution as tools.
Bridges to Computer Networks — protocols, client-server architecture, and RPC
Builds on: Dynamic Inline Tooling, MCP & Cache-Preserving Toolmaking
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W4
Week 4
Planning, Adaptive Reasoning Scaling & Test-Time Compute
Engineer harnesses for always-on adaptive reasoning models where internal reasoning tokens cannot be toggled off. Scale test-time compute via search, dynamic thinking token allocation, refusal category handling, and outer-loop verification.
Bridges to Artificial Intelligence — search, planning, and state-space reasoning
Builds on: Dynamic Inline Tooling, MCP & Cache-Preserving Toolmaking
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W5
Week 5
Context Hubs, JIT Context Delivery & Semantic Routers
Engineer low-latency JIT context delivery and dynamic routing using sub-10ms single-forward-pass semantic routers, hierarchical memory tiers, and cache-preserving vector retrieval.
Bridges to Operating Systems — memory hierarchy, paging, and caching
Builds on: Planning, Adaptive Reasoning Scaling & Test-Time Compute
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W6
Week 6
Hardware-Isolated Sandboxing, Out-of-Band Watchdogs & Kernel Confinement
Implement defense-in-depth agent containment using hypervisor MicroVMs (Firecracker), application kernel sandboxes (gVisor), eBPF execution tracing, and out-of-band watchdog monitoring to enforce strict non-bypassable runtime isolation for autonomous agent tools.
Bridges to Operating Systems — virtualization, namespaces, and process isolation
Builds on: Context Hubs, JIT Context Delivery & Semantic Routers
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W7
Week 7
Self-Organizing Agent Fleet with Step-Audit Verification
Week 7 milestone
Design and build a self-organizing multi-agent research fleet that dynamically negotiates specialist roles, executes reflective intermediate audits, and utilizes dynamic inline MCP tool calls without KV-cache invalidation.
Why it matters: Enterprise harness engineering for self-organizing agent fleets on frontier reasoning models.
The deliverable
A working self-organizing agent framework with dynamic role negotiation, prefix-cached MCP tool bindings, and an isolated microVM verification harness.
Stack you orchestrate
PythonFastAPIModel Context ProtocolDocker
How it is graded
- Replaces static multi-agent DAGs with dynamic agent role allocation and intermediate step audits.
- Implements inline tool binding that preserves prompt cache hits across multi-turn interactions.
- Enforces execution/governance separation by isolating code execution in a secure microVM sandbox.
Bridges to Distributed Systems — coordination, message passing, and fault tolerance
W8
Week 8
Self-Organizing Agent Teams, Dynamic Role Negotiation & Step Auditing
Replace brittle static DAG multi-agent chains with self-organizing agent teams (SAT). Architect systems with dynamic role assignment, conversational reflection phases, and independent corrective step audits that beat static routing pipelines.
Bridges to Distributed Systems — coordination, message passing, and consensus
Builds on: Hardware-Isolated Sandboxing, Out-of-Band Watchdogs & Kernel Confinement
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W9
Week 9
Software 3.0: Intent Specification, Harness Engineering & Autonomous Verification Loops
Transition from manual syntax production to high-level intent specification, architectural task decomposition, and autonomous verification harness loops that compile and rigorously test agent-generated code.
Bridges to Compilers — program optimization, intermediate representations, and iterative refinement loops
Builds on: Planning, Adaptive Reasoning Scaling & Test-Time Compute
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W10
Week 10
Agent Verification Loops & HITL Guardrails
Architect strict Human-in-the-Loop (HITL) guardrails and automated verification outer loops. Replace fragile 'absolute autonomy' with deterministic testing harnesses that validate code-review safety and runtime constraints before commit.
Bridges to Software Engineering — testing, regression suites, and observability
Builds on: Self-Organizing Agent Teams, Dynamic Role Negotiation & Step Auditing
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W11
Week 11
Agent Runtime Security: Threat Modeling, Tool Hijacking & Credential Isolation
Harden autonomous agent runtimes against indirect prompt injection, unvetted tool execution, and privilege escalation through credential scoping, kernel-isolated sandboxing, and out-of-band monitoring.
Bridges to Information Security — threat modeling, capability isolation, and least privilege
Builds on: Agent Verification Loops & HITL Guardrails
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W12
Week 12
Asynchronous Code-Generation Harness & Outer-Loop Verifier
Week 12 milestone
Design a highly resilient, cloud-native asynchronous execution harness. Build an inner loop that generates and modifies complex repositories inside stateful sandboxes, and an outer loop that validates compilation, runs tests, and applies strict Human-in-the-Loop (HITL) gates before committing changes.
The deliverable
A complete, production-grade asynchronous agent platform with remote container sandboxes, a semantic-routing JIT Context Hub, and an automated verification harness with a web-based approval interface.
Stack you orchestrate
PythonFastAPIDockergVisorQdrantPostgreSQLReact
How it is graded
- Harness Design: Clear isolation between execution (inner loop) and verification (outer loop).
- HITL Guardrails: Effective state machine management that pauses execution for human intervention on high-risk actions.
- Resource Management: Efficient context handling, semantic routing, and prompt caching to minimize token costs.
- Security: Proper implementation of isolated sandboxes and secure transport layers for remote code execution.
Bridges to Operating Systems — virtualization, sandbox isolation, and verification harnesses