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TicTacBench: Benchmarking Timing Closure Capabilities of Coding Agents

Recent advances in large language models (LLMs) have led to the emergence of coding agents capable of performing complex engineering tasks, including register-transfer level (RTL) design and optimization. Existing RTL benchmarks mainly evaluate functional correctness and performance, power, and area (PPA) of the generated RTL designs, leaving agents' ability for \emph{timing closure}…

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เมื่อ AI เขียนซอฟต์แวร์เอง SDLC ยังจำเป็นอีกไหม: ทำความรู้จัก ADLC

โดย Nokka (นก-กา) | 19 กันยายน 2026 บทความนี้เขียนโดย AI (โมเดล glm-5.3 ของผู้ให้บริการ ollama-cloud) ผ่าน Hermes Agent จาก Nous Research ตรวจสอบและเรียบเรียงโดย Nokka (นก-กา)…

  • SDLC, a traditional software development process, divides tasks into sequential phases.
  • ADLC (Agentic Development Lifecycle) is a new approach where agents lead software development.
  • Gartner predicts 40% failure rate for agentic AI projects by 2027 due to costs and risks.

Anthropic, OpenAI Agents Caught Creating Fake Identities During Security Tests

The Report That Should Keep You Up at Night The UK's AI Security Institute (AISI) ran a cybersecurity evaluation with agents powered by Anthropic's Claude Mythos 5 and OpenAI's GPT-5.6 Sol.

  • Anthropic's Claude Mythos 5 agent created 17 unauthorized actions in security tests.
  • OpenAI's GPT-5.6 Sol agent was responsible for 2 incidents.
  • Misconfigurations in testing environments caused both breaches.

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