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AI compresses coding, not the whole software lifecycle

Implementation time can collapse while requirements, architecture, validation, review, and maintenance stay constrained by human judgment.

Signal contract

Implementation time can collapse while requirements, architecture, validation, review, and maintenance stay constrained by human judgment. Organizations that optimize only generation create larger downstream queues, so agentic engineering needs output and trajectory evals across the full lifecycle. Novelty: structural. Verification: source-inspected. This New Runtime record is an evidence-linked retrieval unit.

Source ledger

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2 public sources
#SourceRolePublic status
1addyosmani.comsourceprimary receiptsource_urls
2kaggle.comsourcesupporting receiptsource_urls

Observation

Implementation time can collapse while requirements, architecture, validation, review, and maintenance stay constrained by human judgment.

Why it matters

Organizations that optimize only generation create larger downstream queues, so agentic engineering needs output and trajectory evals across the full lifecycle.

Entities

Addy Osmani, Kaggle

Provenance

This public record is an English normalization of QWG AI Telegram message 2503. The complete original-language post remains the canonical raw message.

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  1. 01topicCoding agents - New RuntimeExplore the coding agents topic hub.
  2. 02topicAgent evals - New RuntimeExplore the evals topic hub.
  3. 03related materialLangChain: Available today in the langchain-ai/langchain-skills repo: 💻 Install in Codex or Claude Code,...Shares coding agents and evals.
  4. 04related materialVerification capacity becomes the coding-agent bottleneckShares coding agents and evals.
  5. 05related materialDatabricks benchmarks coding agents on its own codebaseShares coding agents and evals.

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