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AI Coding Agents & Skills Auto-verified translation

Mon usine logicielle à l'heure de l'IA

Reference page published on **eventuallycoding.com** on **July 28, 2026** by **Hugo Lassiège** (Lyon, developer turned entrepreneur, author of Bloggrify, Hakanai, and Writizzy). The author announces it as such: *"This will be more of a reference page than an article,"* intended for his own resources page. **Subject**: an exhaustive, tooled description of a **solo software factory** where *"the code produced is now nearly 100% generated,"* across several polyglot monorepos (Nuxt, Kotlin, JS — Hakanai, Writizzy, Bloggrify) in **continuous deployment to production**. **Distinction stated upfront**: this is not **vibe coding** in Karpathy's sense (experimentation, letting oneself be carried along) but **context engineering** — *"giving all the necessary context, at the right time, so that the software matches an intention and is systematically controlled,"* with the sentence that grounds the responsibility: *"Even if I don't write the code, I am responsible for it and must keep control over it."* **The entire toolset answers three questions**, and this is the text's most reusable reading grid: *"What does the agent know?"* (context, memory, code graph) — *"What does it know how to do deterministically, without improvising?"* (skills, procedures) — *"What stops it when it gets it wrong?"* (hooks, architecture tests, quality gates). **Six layers detailed**: (1) **context** — root `CLAUDE.md` + topical `.claude/rules/*.md` conditionally loaded via `paths:` + `.agents/*.md` for non-technical matters (personas, positioning, tone); (2) **skills** — about thirty, existence criterion *"if I explain the same thing a third time"*; (3) **tools** — JetBrains IDE MCP, **GitNexus** (code graph: `impact(symbol)`, `detect_changes()`), Claude-mem, RTK filtering wrapper, Sentry, read-only database; (4) **executable guardrails** — harness hooks, **architecture tests**, pattern linting (**ast-grep** for architecture decisions, not just ESLint); (5) **factory** — blocking quality gate with `needs:` on the quality job, five test stages; (6) **product process** — numbered specs with a drafting skill **and a closure skill**, design in Claude Design, staged delivery behind feature flags, distinction between **feature flipping** (Unleash) and **gating** (customer contract). **The rule that sums it all up**: *"What matters must be executable. An instruction is followed 'most of the time'… A hook or a test is followed all the time."* **A rarity for the genre**: a "To improve" section that exposes four lived limitations — the **impossibility of measuring a rule's obsolescence** (*"I have no way of knowing whether an old rule has become obsolete"*), the **rabbit hole** created by a boyscout rule, the **lack of packaging** for skills across projects, and above all the admission of tension: *"I am becoming less and less useful during implementation phases,"* *"torn between the satisfaction of having an increasingly efficient factory and the risk of losing knowledge."*

#software factory#context engineering#vibe coding

**Hugo Lassiège** — développeur devenu entrepreneur · basé à **Lyon** · écrit du code depuis 2001 et tient **eventuallycoding.com** (le blog a porté le nom `hakanai.free.fr` avant de devenir *Eventuallycoding* en 2013). *Eventuallycoding* est le nom-parapluie qui regroupe ses projets · sa chaîne YouTube et ses blogs.

Transformation & Adoption Auto-verified translation

AI4IT vs AI4Business : le renversement, et ce qu'il fait à vos budgets 2027

In-depth opinion piece (point of view) published on **sfeir.com** on June 24, 2026, by **Didier Girard** (Managing Director, SFEIR). **Central thesis**: in 2024 everyone was betting on **AI4Business** (AI in business processes) as the great value reservoir; by 2026 the picture has **reversed** — it is **AI4IT** (AI to produce the information system: code, SDLC, software factory) that is creating **measurable** value. The article *grounds* this thesis in the firm's tech watch: AI4Business disappointment (the MIT study "95% of pilots without ROI," contested but revealing; an **organizational** blockage / Mollick's Hayekian problem) versus quantified AI4IT evidence (Salesforce, Intercom, Raiffeisen, AWS/Bedrock, Atlassian, DORA). Mechanistic explanation: **code verifies itself** (compilation, tests, CI) whereas business processes have neither a compiler nor an immediate feedback loop. **2027 budget consequence**: a **CapEx→OpEx** shift, token price dynamics (rising peak — Fable 5 at 2× Opus — vs inference ÷280 and downward pressure from open weights/desktop), and **AI FinOps** driven by **cost per outcome**. Closes with **4 recommendations for the COMEX**.

#AI4IT#AI4Business#reversal

**Didier Girard** — Managing Director (CTO / DG) de **SFEIR** · ESN française (~1 000 personnes, France · Belgique · Luxembourg · Suisse). Auteur de l'article ; voix éditoriale du cabinet sur la transformation IA des DSI.

AI Coding Agents & Skills Auto-verified translation

The New SDLC With Vibe Coding — From ad-hoc prompting to Agentic Engineering

Google whitepaper (the "Day 1" installment of a series, by Addy Osmani, Shubham Saboo and Sokratis Kartakis) mapping the transformation of the software development lifecycle (SDLC) in the age of coding agents. Thesis: the fundamental shift is not a new language but the move from writing code to **expressing intent**. The document sets out a spectrum ranging from *vibe coding* (prompting and accepting) to *agentic engineering* (AI implements under constraints, tests, and feedback loops designed by humans), with **context engineering** as the central skill, the **software factory** model (the developer's deliverable = the system that produces the code), **harness engineering** (Agent = Model + Harness), and a CapEx/OpEx economic analysis of total cost of ownership.

#new SDLC#vibe coding#agentic engineering

Addy Osmani · Shubham Saboo · Sokratis Kartakis (Google)