ASE-26OverviewConceptual modelCurriculumLearning outcomesAssessmentTooling referenceGlossary
Assessment design

Grading the discipline

In an agentic course the artefact a student delivers is co-produced with an agent, so the grading scheme grades the discipline rather than the lines of code.

Grading philosophy

The course grades what the student contributes that the agent cannot: framing, specification, context engineering, verification design, code review against the MRP standard, multi-agent coordination, security and governance analysis, and the practitioner’s reading of the field.

First, the audit trail is gradable. The student’s chat transcript, commit history, context files, lessons-learned notes, and verification records are submitted alongside the final artefact. Without these, the artefact is opaque and cannot be evaluated.

Second, the spiral is gradable, and not only its endpoint. The mid-project commit-point decisions, the recovery from drift, and the revisions to the specification that the build forced are the points where the student’s judgment shows.

Third, verification is gradable as a deliverable, and not only as a state to be reached. A student who produced thorough verification gates that caught real failure modes scores higher than a student whose work happens to be correct but whose gates would have caught nothing.

Graded artefacts and weights

Continuous coursework

50%

Collected as four portfolios, each submitted at the end of its module cluster.

15%

Framing and specification portfolio

Modules 6 & 10 → LO3, LO4

The framing document for the student’s individual project together with a complete specification that approximates Knuth’s five criteria.

10%

Context engineering and safety portfolio

Modules 11 & 12 → LO5, LO6

The project’s CLAUDE.md, the lessons-learned file maintained across at least three sessions, a Git practice log, and a brief retrospective on one trajectory-management intervention.

15%

Verification and review portfolio

Modules 13 & 16 → LO7

A verification gate design, evidence that the gates caught at least one real failure mode, and an MRP-compliant code review of agent-generated or legacy code.

10%

Multi-agent workflow design

Modules 14 & 15 → LO8

A short design document that decomposes a given task into a multi-agent workflow, justifies the cost of explicit orchestration, names the patterns applied, and reflects on what failed.

The project

40%

Runs through the semester. The student builds a small software product across at least three full turns of the evolutionary spiral, with audit trail.

15%

Audit trail of the project’s turns

Modules 4, 10 & 18 → LO2, LO6, LO10

Graded for legibility, completeness, and the visibility of judgment: original intent, what changed between turns and why, the commit-point decision at each turn, and where drift threatened.

10%

MRP-compliant pull request

Modules 13 & 16 → LO7

The merge-ready deliverable for the final turn. Must satisfy all five MRP criteria with evidence.

5%

Security and governance memo

Module 17 → LO9

Prompt-injection surface, permission boundaries, OWASP-relevant risks, and the governance questions a deploying organisation would have to answer.

10%

Reflective analysis

Modules 6 & 18 → LO10

What the student learned by executing the project, focused on what changed in the specification because of the build — demonstrating they noticed the co-evolution rather than treating it as scope creep.

The closing artefact

10%

The one-page document Module 21 asks for.

10%

Closing artefact

Module 21 → LO12

What the student expects to revise in this course within eighteen months and how they will know to revise it.

Rubric structure

Four general criteria
01

Process traceability

Whether an assessor can reconstruct what the student did and why. Audit trails that are absent, opaque, or evidently retrofitted score zero, regardless of the quality of the final artefact.

02

Specification quality

Whether the student’s framing and specifications hold under interrogation. A specification that addresses the five-criteria approximation, names its known pitfalls, and includes the rationale behind its constraints scores higher than one that lists features.

03

Verification credibility

Whether the student’s verification work would catch the failure modes the project actually faces. Gates that are present but catch nothing (verification theatre) are explicitly penalised.

04

MRP-readiness

For the final deliverable, whether all five MRP criteria are satisfied with evidence. An artefact that satisfies four out of five is not merge-ready and is treated as such in grading.

Academic integrity

The integrity standard for an ASE course is different from the standard for a programming course. Agent use is expected. What the student must do is declare it.

Every submitted artefact carries a brief delegation note: which parts the student wrote themselves, which parts the agent produced under direction, and what the audit trail records. The audit trail itself is the primary check.

The integrity violations the course recognises are three: hidden delegation, modification of the audit trail to conceal what was delegated, and submission of artefacts that cannot be reconstructed from the audit trail. Using an agent to produce the artefact is, by itself, none of these.

Mikael Alemu Gorsky

International strategist and academic researcher focused on the impact of artificial intelligence on society, governance, and higher education.

Born and educated in Moscow, with Ethiopian and Israeli roots, he lives and works in Israel as an author and researcher on AI's implications for governance, higher education, and the global economy.

He is a lecturer and researcher at the Holon Institute of Technology (HIT) near Tel Aviv, where his work examines how emerging technologies reshape institutions, skills, and long-term development.

Contact: hello@mgorsky.net

Teaching Leaders and Students

AI for Leaders — VIP Workshop

Format: In-office | Duration: 8 hours | Cohort: Invitation only

A concentrated executive immersion into the strategic implications of AI for your organization. How to identify high-value AI applications, build internal capability, and lead the transformation with confidence.

  • Strategic AI Literacy — Understand how generative AI, agents, and automation reshape organizational value chains — without the hype.
  • Team Upskilling Roadmap — Identify which roles benefit most from AI augmentation and design a practical adoption path for your team.
  • Risk and Governance — Navigate data privacy, compliance, and ethical considerations specific to your industry and jurisdiction.
  • Competitive Positioning — Assess where AI creates defensible advantage and where it levels the playing field.

Curriculum

  1. The AI Landscape (Hours 1–2) — From chatbots to autonomous agents: a structured overview of what works, what doesn't, and what matters for your business.
  2. Your Organization and AI (Hours 3–4) — Mapping your workflows to AI opportunities. Identifying the three highest-impact applications within your company.
  3. Building AI Capability (Hours 5–6) — Upskilling strategies that work. How to move from pilot projects to systematic AI integration without disrupting operations.
  4. Leadership in the AI Era (Hours 7–8) — Governance frameworks, vendor evaluation, build-vs-buy decisions, and leading teams through technological transformation.

Agentic Coding — Curriculum 2025/2026

Format: Hybrid | Duration: 40 hours | Cohort: Spring semester

A comprehensive semester-length program in AI-assisted software development. Students learn to work with AI coding agents — from prompt engineering to production deployment — under real engineering constraints.

  • Prompt Architecture — Design systematic prompt strategies that produce reliable, production-quality code output across languages and frameworks.
  • Agent Orchestration — Build multi-step coding agents that plan, execute, test, and iterate autonomously within guardrails.
  • Quality Assurance — Develop verification and testing frameworks for AI-generated code in production environments.
  • Human-AI Collaboration — Master the feedback loops between human oversight and machine execution at scale.

Curriculum

  1. Foundations of Vibe Coding (Hours 1–8) — The paradigm shift from manual coding to intent-driven development. Prompt engineering fundamentals.
  2. AI Coding Tools Deep Dive (Hours 9–16) — Comparative analysis of Claude Code, GitHub Copilot, Cursor, and other tools.
  3. Agentic Workflows (Hours 17–24) — Autonomous coding agents: planning loops, tool use, file system interaction, and iterative refinement.
  4. Architecture and Design (Hours 25–32) — AI-assisted system design. Database modeling, API architecture, and full-stack development with agents.
  5. Production and Deployment (Hours 33–40) — CI/CD integration, code review workflows, security considerations, and deploying AI-assisted projects.

Change Management — Executive Education

Format: Hybrid | Duration: 4 hours | Cohort: Rolling basis

A focused executive session on leading organizational change in the age of AI. Practical frameworks for the eight steps of transformation, drawn from real implementation experience.

  • Transformation Framework — Apply the eight-step change model to AI adoption, tailored to your organizational context and maturity level.
  • Stakeholder Navigation — Build consensus across leadership, technical teams, and operational staff during rapid technology shifts.
  • Risk Mitigation — Identify and address the organizational, cultural, and technical risks inherent in AI deployment.
  • Sustainable Adoption — Design change initiatives that stick — moving beyond pilot enthusiasm to embedded organizational capability.

Pro Bono Projects

AI for Seniors — Pro Bono Workshop

Helping older adults confidently adopt everyday AI tools.

For older adults, artificial intelligence is not about technology trends or market disruption. It is about preserving quality of life, maintaining a sense of autonomy, and sustaining the feeling of independence that defines dignified aging. AI chatbots and voice assistants can help seniors manage daily routines, access information in their native language, communicate with family across distances, navigate healthcare systems, and stay connected to the world.

For seniors who have emigrated — who live in countries where they were not born, where the language is different, where the bureaucracy is unfamiliar — AI becomes a bridge. AI chatbots can translate documents, explain official letters, help compose emails in the local language, and guide users through government websites.

The AI for Seniors workshop has been delivered to Russian-speaking communities in Israel, where it was met with genuine enthusiasm. Participants — many of them in their 70s and 80s — discovered that AI could help them read Hebrew documents, communicate with Israeli institutions, and access services that previously required help from children or grandchildren.

Startup Competitions — Judging and Mentoring

Contributing expertise as a judge and mentor at startup competitions, evaluating AI-driven ventures and providing strategic guidance to early-stage founders. Focused on helping teams clarify their value proposition, assess technical feasibility, and prepare for the realities of scaling an AI product.

AC/VC LinkedIn Group — Professional Community

AC/VC (Agentic Coding — Vibe Coding) is a LinkedIn group bringing together software developers, engineering students, and AI practitioners who are exploring the frontier of AI-assisted development. The community shares practical insights, code examples, tool comparisons, and honest assessments of what works in production.

Join the AC/VC LinkedIn group

Analytics and Research

Academic Research in AI

Research at the intersection of artificial intelligence and education — exploring how generative AI transforms learning, creativity, and human development. Key themes include constructionism in the age of AI, the cognitive impact of machine-assisted learning, and frameworks for integrating AI into educational practice.

Publications

The AI Pravda — LinkedIn Newsletter

Critical analysis of machine intelligence and its socio-economic impact. Over 4,200 subscribers.

Subscribe to The AI Pravda on LinkedIn

AI Chronicles — Daily Digest

Tracking AI evolution and impact through daily news digests, an industry rolodex, and a comprehensive archive.

Business Opportunities

Available for: Advisory, Board membership, Consulting, Mentoring startups, Teaching.

Contact: hello@mgorsky.net

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