- 2026 là "Year of Trust" cho agentic engineering: chỉ 15% LLM output là tool calls (85% text là waste).
- Custom agents + 50 lines code + 3 tools tự động hoá toàn bộ task hàng ngày.
- Multi-agent orchestration chạy song song (3-100 agents) cho cross-validation, 4x tăng tốc (12+ min → 3 min).
- Top 2% engineers chạy agent sandboxes dạng best-of-N pattern, chuyển từ in-loop (terminal) sang out-loop (autonomous teams).
TL;DR
2026 = "Year of Trust" cho agentic engineering. Matt Van Horn share 22 hack để làm việc như top 2% engineers:
Core Four: Context + Model + Prompt + Tools (15% vs 85% text waste)
Custom agents = 50 lines code + 3 tools + 150-line prompt → toàn bộ daily problem
Multi-agent orchestration = 3-100 agents song song → 4x tăc tốc (12m → 3m)
Agent sandboxes + best-of-N = defer trust, make failure cheap
Out-loop coding = autonomous teams xử lý background tasks (Slack, GitHub)
Tools eating SaaS = agent-native CLIs 50ms vs slow UI clicking
Agentic Coding 2.0 = lead agent conducts specialized worker team
Vấn đề: Model Không Phải Giới Hạn
Andrej Karpathy: "Thập niên tiếp theo là decade of agents." Nhưng 2026 riêng thế nào?
"Year of Trust." Mỗi quyết định của top engineers quay về 1 câu hỏi: Do you trust your agents?
Model không còn là bottleneck. Trust là bottleneck. Việc xây dựng hệ thống tự động hoá đáng tin cậy.
22 Hack Agentic Engineering
GROUP 1: The Core Four Leverage Points
Hack #1-5: Core Four Architecture (Context, Model, Prompt, Tools)
Context = codebase knowledge (research patterns, conventions)
Model = reasoning engine (Claude 4 Opus)
Prompt = communicate intent + constraints
Tools = actions (bash, scripts, APIs) — 15% of output tokens, 85% waste
The opportunity: 85% of LLM output is text when it should be actions. Tool calling là tương lai.
GROUP 2: Custom Agents Above All
Hack #6-8: Specialized Agents for Massive Problems
50 lines code + 3 tools + 150-line system prompt = automate 1 massive daily problem
"Right now, there is a custom agent running somewhere, doing someone's job better than they can."
First attempts = 95% garbage rate, second = 50%. Iterative + multi-agent validation là key.
GROUP 3: Multi-Agent Orchestration
Hack #9-11: Parallelize, Verify, Coordinate
Single agent ≠ enough. Run 3, 5, 10, 100 agents song song.
4x speedup: last30days reduced 12+ minutes → 3 minutes (entity-aware parallel pipelines)
Cross-validation = more agents → more verification → more trust
Agent-native CLIs + SQLite mirrors: 50ms compound queries (vs remote HTTP calls)
GROUP 4: Agent Sandboxes & Best-of-N
Hack #12-14: Defer Trust, Make Failure Cheap
Spin up 10 agents in sandboxes (dev box, staging env). Everyone gets a shot.
Only merge the winner. Best-of-N pattern = defer trust until you need it.
High-trust agentic engineering = space where even if everything goes wrong, it doesn't matter.
GROUP 5: In-Loop vs Out-Loop Coding
Hack #15-17: Progressive Offloading
In-loop = terminal, babysitting agent step-by-step, your precious engineering time
Out-loop = Slack, Discord, GitHub — autonomous teams handle background tasks, submit PRs
Goal: Maximize out-loop, minimize in-loop. Build trust gradually, offload progressively.
Stage 5: Parallel cloud execution (multiple devices) = direct agents from beach, phone, anywhere.
GROUP 6: System is Primary Artifact, Not Code
Hack #18-19: Extract Taste, Build Private Benchmarks
Code is less valuable than the system producing code (CLAUDE.md, patterns, reviewers, compound learning)
Extract senior engineer taste/judgment into CLAUDE.md → scales expertise without manual review
Public benchmarks saturated (90-100% scores). Build private eval suites measuring real workflows.
GROUP 7: SOPs, Tools, Printing Press CLIs
Hack #20-22: Agents Eat SaaS, Agent-Native CLIs, Compound Learning
Tools eating SaaS: Agent-native CLIs 50ms vs 5-minute manual clicking through slow UIs
Printing Press: Generate agent-native CLI (Go binary + Claude skill + MCP server) from 1 prompt
Compound engineering: Every cycle (plan → build → review → compound) teaches system. Future work cheaper.
last30days: Real community signal (Reddit, X, YouTube) beats stale training data
Timeline: 2024 → 2025 → 2026
2024: AI coding emerges. "Big Three" = Context + Model + Prompt
2025: Claude Code brings agentic coding. "Core Four" = + Tools
2026 (Now): Agentic Coding 2.0. Lead agent conducts orchestra of specialized workers. You = executive, not engineer.
5-Step Roadmap: Từ Base → Orchestrator
Step 1: Build custom agent. 50 lines, 3 tools, extraordinary at 1 problem.
Step 2: Add planner + builder + reviewer.
Step 3: Sandboxes. Defer trust. Best-of-N.
Step 4: Out-loop system (Slack/GitHub autonomous). Progressive offload.
Step 5: Lead agent orchestrator. Agentic Coding 2.0.
Key Insight: The Bonus Bet
"The First End-to-End Agentic Engineers." We will see the first engineer publish: "Prompt to production. No review. No human in loop."
Full autonomy. Lead agent plans, spawns workers, reviews, ships entire feature. Not vaporware. Happening now.
Kết Luận: Agents > AGI Hype
AGI/ASI marketing = greatest vaporware ever. Top 2% engineers?
"There is no AGI, there is no ASI. There are just agents."
Assemble your team. Craft the best custom agents. Promote a lead agent. Ship relentlessly.
via Top 2% Agentic Engineering Roadmap + Compound Engineering
