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#Service-as-Software

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AI/works™ by Thoughtworks — Thoughtworks' Agentic Development Platform / "We are doing it again for the AI era"

Launch of **AI/works™**, an **agentic development platform** claimed by **Thoughtworks** to be *"the new standard for building and running industrial-grade systems in the AI era"*. The core pitch is **economic**: *"the old approach made you pay millions to build, run, then pay again to rebuild — AI/works™ ends that routine"*. The platform covers **the entire SDLC** around a central concept, the ***Super Spec*** (a dynamic, unified specification covering architecture, workflows, security, data, UX), with **six capabilities**: Reverse Engineering (legacy → as-is specs), Dynamic Spec Development (raw requirements → Super Spec), Spec to Code (coordinated agents generating testable code), Developer Experience (governed golden paths), Control Plane (agent orchestration with cost transparency, active guardrails, end-to-end lineage), Runtime Ops (continuous monitoring detecting changes, updating the Super Spec, regenerating impacted code). **3-3-3** methodology: 3 days to align the product concept, 3 weeks for the prototype (desirability/viability/feasibility), 3 months for a production MVP. **Constellation Research** recognition: *"changing the economics of enterprise software delivery"* via a *"spec-driven, lifecycle"* approach. Opening tagline: ***"We are doing it again for the AI era"*** — invoking Thoughtworks' XP/CI-CD/microservices heritage. Anti-hype positioning: *"stands on an engineering foundation rather than enthusiasm"*, *"no consultant crowds"*, *"finance can open the bill without switching on emergency lighting"*. Featured partners: AWS, GCP, Azure, Databricks, Snowflake + Claude, OpenAI, DeepSeek, Gemini, Grok + NVIDIA, Groq, Stripe, Spotify, CAST, Cyn DX, Mechanical Orchard.

#Thoughtworks#AI/works#AI works trademark

**Thoughtworks** (auteur collectif corporate, page produit/marketing). Aucun individu cité sur la page. Contexte des figures Thoughtworks pertinentes en arrière-plan : **Martin Fowler** (chief scientist emeritus, *Refactoring*, *Patterns of Enterprise Application Architecture*) · **Rebecca Parsons** (CTO emeritus) · **Birgitta Böckeler** (Distinguished Engineer, *Harness Engineering for Coding Agents*, fiche 2026-04-02) · **Matt Kamelman** (*Service-as-Software*, fiche 2025-12-03) · **Sam Newman** (*Building Microservices*).

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The Batch n°352 — "There Will Be No AI Jobpocalypse" (Andrew Ng)

Editorial by Andrew Ng in The Batch n°352 of May 8, 2026 — **"There Will Be No AI Jobpocalypse"** — which dismantles the narrative of mass unemployment caused by AI, drawing on the **healthy 4.3%** US unemployment rate and robust tech hiring. Ng identifies **three drivers** of the jobpocalypse narrative: **(1) tech incentives** — AI labs benefit from presenting themselves as transformative-disruptive (funding rounds, valuations, talent); **(2) pricing power** — vendors charge **$10,000+/year** to enterprise clients by **anchoring their pricing on the salary of the replaced employee**, rather than on traditional SaaS pricing (per seat / per usage); **(3) corporate messaging** — companies reframe their layoffs as *"AI efficiency"* rather than acknowledging the **pandemic-era overhiring** of 2020-2022. Honest acknowledgment: *"AI disrupts work"*. But Ng flips this into **"AI jobapalooza"** (a play on Lollapalooza) — job creation in AI engineering and adjacent fields with evolving skill sets. Implicit tension with **Amodei** (50% of white-collar jobs eliminated by 2030) — Ng points out, without naming him, that **Anthropic benefits from promoting this narrative** (tech incentives). Published **the same day** as **Wallace-Wells's "AI Populism" NYT Magazine** piece: a perfect mirror reading — Ng = cold economic analysis / Wallace-Wells = popular panic. Pricing-power convergence with **Bain's "$100B cross-system labor"** (same thesis: pricing anchored on salaries).

#Andrew Ng#The Batch#DeepLearning.AI

Andrew Ng (fondateur DeepLearning.AI, Stanford, ex-Google Brain, ex-Baidu, ex-Coursera)

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Service-as-Software: A new economic model for the age of AI agents

**Matt Kamelman** publishes on the **Thoughtworks blog** on **December 3, 2025** a conceptual pivot article that formalizes the major economic shift in intellectual services: ***"Service-as-Software" (SaS)*** as the **new economic model** succeeding **SaaS**. **Pivotal distinction**: ***"Traditional SaaS is about tools: software that enables humans to solve problems. Service-as-Software (SaS), meanwhile, sells outcomes."*** SaS is *"a new class of tool that doesn't just enable work but instead automates the reasoning process itself"*. **Pricing shift**: ***"Companies will no longer pay for an agent based on seats or features. Instead they'll pay based on its demonstrated alignment and impact."*** **Three archetypal examples of SaS agents**: marketing agents (end-to-end campaigns), financial agents (forecasting modeling), operations agents (request triage). **Three capabilities** of agentic SaS systems: (1) operate dynamically on **goals**, not fixed workflows; (2) retain **memory** across interactions; (3) autonomously coordinate across tools and APIs. **The "Cognitive Contract" — three principles**: (1) **Interpretable and auditable** — *"users need to be able to understand why the system made a decision"*; (2) **Aligned with human goals** — *"the system's objectives must match human intent and ethical boundaries"*; (3) **Trained and iterated in real time** — *"systems continuously refine behavior based on feedback"*. **New organizational role**: the ***"cognitive orchestrator"***, with three operational functions: (a) **feedback loop design** (step-by-step review); (b) **managing uncertainty with guardrails** (business rules + circuit breakers); (c) **measuring alignment** (quantifiable alignment score). **Structuring historical analogy**: *"mainframes → client-server → web/cloud, where the cognitive contract remained the same: humans had to instruct the machine"*; today this contract **evolves toward collaboration** between humans and machines. **Major relevance**: this is the clearest **Anglo-Saxon conceptual formalization** of the empirically observed shift from **billable hours / per-seat → outcome-based** at **McKinsey/Sternfels** (60,000 = 40,000 humans + 20,000 agents, January 2026), **VoxComm/Mandese** (March 2026, agencies), **Bain Rule of 40** (April 2026, SaaS), **Bain cross-system labor $100B** (May 2026). The term ***"Service-as-Software"*** is poised to become **canonical**, as *"Software-as-a-Service"* was in the 2000s-2010s. To be leveraged for **2026 strategic vocabulary** in executive committee presentations, agentic business cases, pricing models.

#Matt Kamelman#Thoughtworks blog#Service-as-Software

**Matt Kamelman** — auteur de l'article publié sur le blog Thoughtworks le 3 décembre 2025. **Thoughtworks** est un cabinet de conseil en technologie et software engineering global · fondé en 1993 · fortement associé à des figures emblématiques du software engineering (Martin Fowler, Rebecca Parsons, Sam Newman, etc.) et à des contributions historiques majeures (continuous delivery, microservices, expansion XP/Agile). Le blog Thoughtworks est une référence de premier plan dans l'écosystème software engineering et architectural.