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tech radar · v2 · july 2026

What I'm betting on, and what I'm not

Years ago I launched my first company's Tech Radar to give engineering teams a shared formulary for what to adopt, trial, assess, and hold. This is the personal version. Sixty-six blog posts and one year of writing, distilled into the bets I am willing to defend out loud.

last reviewed July 2, 2026 · click any blip or any item below for the argument behind it

ADOPTTRIALASSESSHOLDEngineering PracticesAI Tools & ArchitectureLeadership PosturesIndustry Narratives1234567891011121314151617181920212223242526272829303132333435363738394041424344454647484950515253545556575859606162636465666768
Adoptuse today. default in new workTrialin production. convinced of directionAssesswatching. not yet bet onHoldrefuse, or warn against

quadrant 01

Engineering Practices

How software actually gets built, reviewed, and shipped in an agentic SDLC.

Adopt

Use today. Default in new work.

  • 01Spec-driven development
  • 02Standards in files, not heads
  • 03Architecture as agent guardrails
  • 04Pipeline-first delivery
  • 05Verification-first development
  • 06Fail to unknown, never to green
  • 07Name an owner for every agent
  • 08Context Spine / Intent Stack
  • 09Enforced design systems, not voluntary ones

Trial

In production. Convinced of direction.

  • 10Spec review as the new code review
  • 11Multi-agent specialist workflows
  • 12Prompt review as quality gate
  • 13Workflow inversion over agent loops

Assess

Watching. Not yet bet on.

  • 14Dark factory model for software
  • 15Cross-team multi-agent workflow sharing

Hold

Refuse, or warn against.

  • 16Vibe coding without specs
  • 17Kubernetes for one service
  • 18Agent teams as a default
  • 19Line-by-line review as primary quality bar

quadrant 02

AI Tools & Architecture

The seam between local and frontier, the patterns that compound, the ones that do not.

Adopt

Use today. Default in new work.

  • 20Claude Code as build system
  • 21Hybrid local + frontier inference
  • 22MCP as integration substrate
  • 23AI providers like cloud providers
  • 24Design for sovereign model risk

Trial

In production. Convinced of direction.

  • 25Open-weight models for regulated workloads
  • 26Persistent personal AI agents (Roci)
  • 27Custom-trained frontier models (Nova Forge style)
  • 28LLM-consumable design systems

Assess

Watching. Not yet bet on.

  • 29Fully autonomous coding agents
  • 30MCP gateway / RBAC patterns
  • 31AI design tools beyond Figma

Hold

Refuse, or warn against.

  • 32Multi-cloud as a hedge
  • 33Prompt-whispering as a discipline

quadrant 03

Leadership Postures

How engineering leaders should show up, what they should reward, and what they should refuse.

Adopt

Use today. Default in new work.

  • 34Stay close to the craft
  • 35Principles over personalities
  • 36Accountability flows upward
  • 37Clarity beats consensus
  • 38Turn complexity into leverage
  • 39Servant leadership in tech
  • 40Invest in framers, not finishers
  • 41Bargain honestly with disruption
  • 42Value per verified outcome

Trial

In production. Convinced of direction.

  • 43FinOps as a core engineering competency
  • 44Build for succession
  • 45The AI Operating Ledger

Assess

Watching. Not yet bet on.

  • 46The apprenticeship problem
  • 47Pairing on specs and reviews

Hold

Refuse, or warn against.

  • 48Mandate-driven AI adoption
  • 49Building monuments to yourself
  • 50Headcount-first AI reorgs
  • 51Personal agents as AI strategy
  • 52PowerPoint-only leadership

quadrant 04

Industry Narratives

The stories the industry tells itself. Some are true. Most are someone's quarterly earnings call dressed up in a hoodie.

Adopt

Use today. Default in new work.

  • 53"Specs beat vibes"
  • 54"The bottleneck is never the stack"
  • 55"Agents advise; humans decide"
  • 56"From toil to judgment"
  • 57"Trust the gate, not the actor"

Trial

In production. Convinced of direction.

  • 58"Trust compounds faster than velocity"
  • 59The builder’s bargain
  • 60"The frame is the bottleneck"

Assess

Watching. Not yet bet on.

  • 61AI infrastructure capex bubble
  • 62Open-source funding under AI
  • 63Capability as a governed resource

Hold

Refuse, or warn against.

  • 64"Workforce optimization" language
  • 65"AI is coming for your job"
  • 66"AI replaces engineers"
  • 67The salary-for-subscription swap
  • 68Vendor-as-operating-model