🎁 Perplexity PRO offert

30 jours gratuits

Téléchargez Comet, connectez votre compte et posez votre première question.

Activer l'offre →

Anthropic’s article titled “Eight trends defining how software gets built in 2026” describes a major transformation: the shift from code assistance (simple autocompletion) to agentic coding, where AI becomes a collaborator capable of managing complete workflows.

Here are the key points and 8 trends to remember, organized around three pillars.

1. Foundations: The Evolution of the Developer Profession

From Writing to Coordination

Engineers spend less time writing lines of code and more time orchestrating agents. Their expertise shifts toward architecture, system design, and strategic decisions.

Active Collaboration vs Total Delegation

The study shows that while AI is involved in 60% of the work, “total” delegation remains limited (0-20%). Humans remain essential for supervision, validation, and judgment.

2. Capabilities: What Agents Accomplish

Mastering Complexity (Giant Codebases)

Agents (like Claude Code) can autonomously navigate millions of lines of code (e.g., vLLM) to perform complex tasks in hours instead of days.

Multi-Agent Coordination

The future lies in systems where multiple agents collaborate (one for testing, one for backend, one for code review), dramatically increasing delivery speed.

Spectacular Acceleration

Projects that used to take 4 to 8 months can now be completed in two weeks, thanks to eliminating the cognitive load associated with understanding complex dependencies.

3. Impact: Strategic Priorities for 2026

The Shift to “AI-Native SDLC”

The Software Development Lifecycle (SDLC) is being entirely redesigned around AI.

Automation of Code Review and Testing

Human validation is now assisted by agents specialized in error detection and large-scale unit/E2E test generation.

Democratization of Agentic Coding

These capabilities extend beyond pure engineering teams, enabling other technical functions to manipulate code.

Security-by-Design

AI is used to integrate security architectures from the earliest stages of development, rather than as a final verification.

Conclusion

In 2026, competitive advantage will no longer come from the ability to produce code quickly, but from an organization’s ability to drive high-performing agentic systems. Success relies on a balance between agent autonomy and a rigorous human supervision framework to ensure quality and security.