Claude Code Tips from the Claude Code Team
Claude Code usage tips from the Anthropic team - 10 productivity tricks
Boris Cherny (créateur de Claude Code)
Claude Code usage tips from the Anthropic team - 10 productivity tricks
Boris Cherny (créateur de Claude Code)
Boris Cherny recounts the genesis of Claude Code, product philosophy, and founder advice - Y Combinator Light Cone
Boris Cherny (créateur de Claude Code, Anthropic) · Y Combinator (The Light Cone podcast)
Project Genie - Real-Time Interactive World Models from Google DeepMind
Logan Kilpatrick (Google DeepMind) · Diego Schlomi (Google DeepMind) · Jack (Google DeepMind)
Treatise on narrative architectures and conference formats - Global guide
Deep Research Veille Interne
Auto-caching Claude prompts: technical mechanism, cache_control API, 90% token savings, cache-friendly design
Lance Martin (@RLanceMartin, Anthropic)
Complete Claude Code training: 12 pedagogical modules on agentic coding - Deep Research
Deep Research Veille Interne
Mollick: Organizational Theory for Agentic AI - spans of control and boundary objects
Ethan Mollick
Synthesis of narrative frameworks and prompts for talk formats
Deep Research Veille Interne
Prompt caching lessons from Claude Code: cache architecture, plan mode, compaction, cost and latency optimization
@trq212 (Anthropic, équipe Claude Code)
Claude Code guidelines inspired by Karpathy - 4 anti-bloat principles
forrestchang (GitHub) · basé sur observations d'Andrej Karpathy
AGENTS.md outperforms skills in Vercel/Next.js agent evaluations
Jude Gao (Vercel)
Software and cloud predators for IT budgets - rising SaaS costs, embedded AI, FinOps optimization, unused licenses
Guillaume Geudin
SoGPT Société Générale abandons for Copilot - false build vs buy debate, AI capital, European sovereignty
Erwan Simon
**OfficeChai** reports on **January 14, 2026** a major statement by **Bob Sternfels** (Global Managing Partner, **McKinsey & Company**): ***"my latest answer to you would be 60,000, but it's 40,000 humans and 20,000 agents."*** McKinsey headcount is now counted as **humans + agents**: **60,000 = 40,000 humans + 20,000 AI agents**. **Massive acceleration trajectory**: *"Little over a year and a half ago, that was 3,000 agents and I originally thought it was going to take us to 2030 to get to one agent per human."* The human/agent parity initially projected for **2030** is now achievable within **18 months** — an acceleration of **>5×** relative to the original projection. **Explicit business-model shift**: *"We're migrating pretty quickly away from, let's call it pure advisory work... moving to much more of an outcomes-based model."* — McKinsey **is abandoning the billable-hours / advisory model** in favor of an **outcomes-based model** where compensation is aligned with measurable results. **McKinsey context 2024-2026**: Lilli (internal chatbot) used by **70% of employees**, **200 technology roles cut in November 2024**, a **9-month-salary** severance offer (April 2024). **Major relevance for the 2026 dossier**: this is the **first top-tier consulting player** to (a) publicly state and (b) precisely quantify the integration of AI agents into its accounting headcount. The phrase ***"60,000 people but 20,000 of them are agents"*** is set to **redefine** the very conception of headcount in knowledge-based services — comparable to the moment organizations began counting contractors + employees together. **Convergence with the 2026 corpus**: Bain Rule of 40 (outcome-based pricing tailwind), Bain cross-system labor $100B, MediaPost Mandese *"billable hours are dead, AI killed them"* (March 3, 2026), VoxComm *Redesigning the Agency Value Model* (Brian Kessman / Tim Williams, March 2026), Tatsyi/Raiffeisen (−75 people), Cherny Sequoia *"7 Powers reordering"*. **Productive tension** with the normative DORA position *"do not adopt headcount-reduction strategy"* — McKinsey publicly owns the **reduction in human headcount** (200 roles in 2024) while reinjecting capacity into AI agents + outcome-based revenue. To be leveraged for firm executive committees, strategic presentations for consultancies/IT-services firms/agencies, debates on the future of the knowledge-services business model.
Article rapporté par **OfficeChai Team** (publication indienne tech/startup news) · **14 janvier 2026**. **Source primaire** : déclarations de **Bob Sternfels** · **Managing Partner Global de McKinsey & Company** · lors d'une intervention publique. McKinsey est le cabinet conseil top-tier mondial fondé en 1926. Sternfels dirige le cabinet depuis 2021.
NRF 2026 - Universal Commerce Protocol Google, agentic commerce, Carrefour first European adopter, Stripe ACS
Deep Research Veille Interne
Addy Osmani - writing specs for AI agents, 5 principles, Plan Mode, structured PRD, modularity
Addy Osmani
Antirez (Redis creator) - don't fall into the anti-AI hype, concrete Claude Code projects
Salvatore Sanfilippo (antirez)
Spec Drive Development - programming language fit for AI code generation, TypeScript vs Python vs Go vs Rust
Deep Research Veille Interne
LangChain - traces as documentation for AI agents, observability, runtime debugging
Harrison Chase
Plakar - French open-source backup, Kloset immutable storage, Linux Foundation CNCF, 60x S3 performance
Deep Research Veille Interne