Compute Credits:$50.00 Active
Student ID:hz-stu-9821a
COURSES:
Enrolled & Active: ENG 100 — Agentic Coding Systems with Hanzo Dev & Zen 6DAY 1 DEPOSIT ACTIVE
Your 25% compute credit rebate ($50.00 USD) was deposited into your Hanzo Cloud account. All laboratory sandboxes are provisioned and accessible below.gVisor Sandbox: pod-gvs-uswest2-01ONLINE
alex@hanzo-sandbox:~/swe-bench-agent$ hanzo dev status[OK] gVisor runsc sandbox lease active (id: pod-gvs-uswest2-01)[OK] Zen 6 (27.3B) inference endpoint connected via ZAP RPC (latency: 1.4ms)[OK] Compute credit balance: $37.55 USD remaining of $50.00 depositalex@hanzo-sandbox:~/swe-bench-agent$ pytest -v tests/test_agent.py============================= test session starts =============================platform linux -- Python 3.12.3, pytest-8.1.1, pluggy-1.4.0tests/test_agent.py::test_ast_symbol_resolution PASSED [ 25%]tests/test_agent.py::test_zap_zerocopy_serialization PASSED [ 50%]tests/test_agent.py::test_gvisor_sandboxed_reproduction PASSED [ 75%]tests/test_agent.py::test_kai_zerotoken_decision_checkpoint PASSED [100%]============================== 4 passed in 0.42s ===============================alex@hanzo-sandbox:~/swe-bench-agent$ _
Quick Run:
Hardware Leases: 4 vCPU · 16 GB RAM · Apple Silicon Metal / CUDA L4Sandboxed under Google gVisor runsc kernel virtualization in region us-west-2
Course Modules & ProgressComplete all 4 laboratory modules to qualify for HACE Credential Defense
75% COMPLETEDENG 100.1Runtime Virtualization, Ephemeral Sandboxes & Zero-Copy ZAP RPC
Lab 1: Provision an isolated multi-process execution jail with ZAP IPC socket bridge and evaluate inter-process latency.ENG 100.2Abstract Syntax Trees, Context Distillation & Dual-Index Retrieval
Lab 2: Implement an autonomous AST file scout that isolates defect locations across a 100k-line repo in < 3 tool hops.3
ENG 100.3Test-Driven Self-Healing & Finite-State Kai Verification
Lab 3: Build an autonomous test runner that iterates on AST patches in an isolated pod until test exit code 0.Close the autonomous execution feedback loop. Engineer agents that parse natural-language issue tickets, synthesize minimal reproducible failing tests, generate syntax-safe AST patches, and verify state transitions with Kai zero-token heuristics.
Lectures & Topics:
Automated reproduction synthesis: generating failing pytest / cargo test cases directly from GitHub issues
AST diff validation: guaranteeing generated patches introduce zero syntax regressions or unused symbols
Kai finite-state decision checkpoints: zero-token verification scoring, completion heuristics, and state branching
Micro-USD economic governance: enforcing hard pre-call cost ceilings and handling in-band budget refusals
Lab Assignment: Active in terminal above
4
ENG 100.4Coordinator-Worker Swarms & SWE-bench Capstone Defense
Capstone Project: Autonomously resolve 5 SWE-bench benchmark issues with 100% test pass rate and < $0.50 spend per issue.Capstone Defense: HACE
READY FOR DEFENSE