👥 Teams & Ways of Working

Measuring effectiveness, small teams, SDLC, process.

BlogMiguel Carranza

AI shouldn't shrink headcount. It should shrink teams

AI lets orgs run smaller teams per initiative rather than cutting headcount.

AI lowers the cost of writing and reviewing code.
RevenueCat's "Office of the CTO" small-team model, generalised org-wide.
The tradeoff is fragility — it needs strong individual contributors.

added by Adam Tomat • 1st Jul 2026

BlogAbly • Amber Dawson

Is AI making your teams better, or just busier?

Argues AI usage metrics don't capture whether teams actually get better, and proposes outcome-based KPIs.

88% use AI but only 39% report EBIT impact — usage ≠ value.
Two KPIs: new outcomes unlocked, and how embedded AI is in the workflow.
Needs structural support (scorecards, skill repos), not just tool access.

added by Adam Tomat • 1st Jul 2026

ToolTessl

Tessl — agent enablement platform

A platform to build, test, distribute, and govern AI agent "skills" at team / enterprise scale.

Security scanning, policy, and audit before a skill deploys.
A shared, versioned skill registry.
Tracks real activation / usage plus evals.

added by Tom Harper • 23rd Jun 2026

BlogAddy Osmani

The New Software Lifecycle

Reframes the SDLC: agents are mostly harness, and verification moves to the centre.

Agents are roughly 10% model, 90% harness.
Static vs dynamic context load is a key design tradeoff.
The vibe-coding → engineering spectrum is defined by depth of verification.

added by Adam Tomat • 23rd Jun 2026

BlogUX Collective • Patrick Neeman

The T-shaped UX Professional is Giving Way to the Polymath Architect

AI is dissolving the classic "T-shaped" specialist model in UX toward generalist "polymath architects".

AI removes the cost penalty of working outside your specialty.
91% of designers now use AI weekly.
The scarce skill becomes directing AI and catching plausible-but-wrong output.

added by Adam Tomat • 23rd Jun 2026

BlogAddy Osmani

Cognitive Surrender

Distinguishes healthy cognitive offloading from "surrender" — accepting AI output without judgement.

Research cited: 73% accepted incorrect AI answers, with inflated confidence.
Code that "looks correct" hides comprehension debt.
Calibration habits: form your expectation first, treat AI code like a junior's, add friction.

added by Adam Tomat • 18th Jun 2026

VideoAI Native DevCon

AI Native DevCon London 2026 (playlist)

The full talk playlist from AI Native DevCon London 2026 (1–2 June, The Brewery, London).

Guy Podjarny — "Skills are the New Code": agent instructions/context are becoming a software unit needing intent, review, testing and versioning.
Birgitta Böckeler — "State of Play: AI Coding Assistants": field data on which adoption patterns work vs. create tech debt.
Patrick Debois — "The Rise of Agent Enablement": frames agent enablement as a new org function alongside DevOps/Platform Engineering.

added by Tom Harper • 17th Jun 2026