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The future is AC/DC: the Agent Centric Development Cycle

The era of Continuous Integration, with its familiar processes and workflows, is rapidly coming to an end. Traditional CI relies on developers making small, frequent, iterative commits. Today, the “continuous” part is changing.

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GPT-5.5’s biggest blind spot: the Java bugs your tests won’t catch
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GPT-5.5’s biggest blind spot: the Java bugs your tests won’t catch

Sonar’s LLM Leaderboard reveals concurrency bugs in AI generated Java code that pass tests but break in production due to thread timing issues.

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Claude Opus 4.7: An evaluation review & metrics benchmarks
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Claude Opus 4.7: An evaluation review & metrics benchmarks

Discover how Claude Opus 4.7 cuts code volume by 40% but increases vulnerability risks. See the full technical audit of bugs, complexity, and code smells.

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When linting is not enough
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When linting is not enough

Is linting enough for AI-generated code? Discover why deep static analysis, control flow, and taint analysis are critical to preventing vulnerabilities and architectural decay in agent-centric development.

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OpenAI GPT-5.5: An evaluation
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OpenAI GPT-5.5: An evaluation

Is OpenAI's GPT-5.5 safe for production? Explore our independent 4,444-task Java benchmark. See why its security is top-tier but its 'verification debt' is high.

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AI-First Engineering: How Cisco Reached Tech Debt Zero
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AI-First Engineering: How Cisco Reached Tech Debt Zero

Learn how Cisco eliminated 27,000 tech debt issues in 3 months using AI-First Engineering & autonomous agents. Step-by-step guide to agentic SDLC and code quality.

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