Asana and Codex: how to assess a technical debt migration accelerated by agents
The Asana feedback is spectacular, but its value lies less in the number than in the method: independent batches, tests, human review, and parallel execution.
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AI News
ChatGPT Ads in France: preparing acquisition, attribution, and compliance
Advertising in ChatGPT is available in France. Before opening a budget, companies must prepare their data, their measurement, and their compliance safeguards.
Symfony AI is getting a Core Team: what this changes for an AI stack in PHP
The creation of a Core Team confirms Symfony AI's ambition. It improves the project's readability, without removing issues of stability, observability, or vendor dependency.
Mistral AI in 2026: how to compose an enterprise stack between open models, agents, OCR, and European infrastructure
Mistral no longer offers just a generation API. In 2026, the ecosystem covers open models, agents, document intelligence, search, connectors, customization, and infrastructure options. The challenge is to choose an architecture rather than a product catalog.
Document Intelligence in 2026: beyond OCR, extracting structure, tables, and evidence
Plain text is not enough when an amount depends on a column, a signature must be located, or a quotation must return to a specific area of the document.
Development agents in 2026: accelerating delivery without degrading architecture or security
A code agent can modify multiple files, run tests, and prepare a pull request. Its speed makes architectural and review safeguards more important, not less.
Real-time voice agents in 2026: architecture, latency, consent, and quality of service
The voice does not forgive dead times, ambiguities, or poorly confirmed actions. A voice agent is both a real-time, conversational, and business system.
Open AI models, self-hosting, and edge AI: what is really possible in 2026
Downloadable weights provide more control, but not automatically a sovereign, economical, or maintainable solution. The architecture must be tested on the real task and hardware.