Hugues Clouâtre - AI & Platform Engineering

Veracode’s 2025 GenAI Code Security Report found security flaws in 45% of AI-generated code outputs across 100+ models and four programming languages.

The same AI tooling.

Code reviews are a bottleneck.

Single-agent AI coding hits a ceiling.

Every website serves two audiences: humans and machines.

In June 2025, Shopify CEO Tobi Lütke introduced the term “context engineering” as a more precise alternative to prompt engineering.

Three models entered a pre-registered blind evaluation: Gemma 4 26B-A4B at $0.00042 per run, Claude Haiku 4.5 at $0.0119, and Claude Sonnet 5 at $0.0399.

In April 2026, a PocketOS coding agent deleted a production database and its only backup in nine seconds, triggering a 30-hour outage (Crane, 2026).

You run a company with SAP, mainframe, or AS400 systems that work but won’t win awards.

A Google Research paper demonstrates that repeating the entire user prompt verbatim can lift accuracy by up to 76 percentage points at zero output cost.

Your AI agent just approved a $50,000 invoice for office supplies.

Your legacy system documentation is 20 years old, 7,432 pages, and locked in PDFs.

AI tooling budgets hit record highs.

Purpose-built AI tooling cuts per-task cost 21-68%, yet only 13% of organizations have AI agents broadly integrated into workflows (BCG, 2025) and self-reported velocity diverges from measured outcomes by 39 percentage points (Becker et al., 2025).

DNS migrations fail in production because teams discover errors after the nameserver switch, not before it.

A bench mismatch, a scope gap, a stakeholder escalation: each gets treated as a hard blocker requiring structural intervention, when most warrant fast iteration instead.

A CI pipeline trusts 400 packages.