Official account of ByteDance SE Lab, sharing research and practical experience in software engineering. Our lab unites researchers and engineers from various domains to accelerate the fusion of software engineering and AI, driving technological progress in every phase of software development.
Claude Mythos, Anthropic's 2026 agency‑grade model, pushes autonomous vulnerability discovery and exploitation from months to minutes, forcing enterprises to accelerate operations, tighten zero‑trust boundaries, and redesign security architectures for resilience against AI‑driven attacks.
Under a fixed monthly budget of about 7,100 CNY, Volcano Milvus combines DiskANN and RaBitQ (including Extended‑RaBitQ) with in‑memory layout and query‑path slimming to deliver 20,420 QPS, 2.5 ms average latency, 93.9 % recall, achieving nearly three times the VectorDBBench top score while using roughly one‑third of the memory, disk and compute resources of competing solutions.
The article analyzes the rising firmware security challenges of AI‑Infra servers, presents a full‑machine threat model, outlines trusted‑boot and measurement architectures, shares a large‑scale CVE‑2023‑34335 remediation case, and discusses tools and long‑term security evolution for heterogeneous server fleets.
The article analyzes the context fragmentation challenges faced by production‑grade agents—memory loss, workspace inconsistency, and governance gaps—and explains how ContextBucket’s managed service unifies memory and workspace with hybrid retrieval, serverless storage, and multi‑tenant isolation, delivering significant accuracy and cost improvements.
Uni-Agent is an open‑source framework that unifies building, running, and training of general AI agents, offering extensible model, tool, and environment modules, scalable sandbox execution via veFaaS, live monitoring, and demonstrated performance gains on large‑scale coding‑agent experiments.
Volcano Engine's audio team, together with the Chinese Academy of Sciences Acoustic Institute, secured first‑place, runner‑up, and third‑place finishes in the 2025 Low‑Resource Audio Codec Challenge at ICASSP 2026 by delivering AI‑driven codecs that balance ultra‑low bitrate, low complexity, and high audio quality for real‑time communication and streaming scenarios.
Facing hour‑level demands for new educational tools, Yuanfudao created the internal Rush platform that lets any employee describe a need in natural language and instantly receive a full‑stack application, thanks to Volcano Supabase’s AI‑native BaaS, dramatically cutting development time, cost, and operational complexity.
This guide walks through the challenges of turning a locally built prototype into a globally accessible site and shows how TRAE AI IDE combined with IGA Pages enables one‑click, serverless deployment, GitHub integration, edge functions, custom domains, and sustainable CI/CD workflows for developers and product teams.
The article details Douyin's Dynamic Performance Framework (DDPF), covering its evolution from static resource scheduling to a multi‑dimensional signal‑driven system, the perception and decision layers including low‑interaction detection and end‑side intelligence, and concrete VM tuning cases that illustrate how dynamic optimization is achieved on Android.
The article analyzes the rapid adoption of AI agents in office environments, outlines three emerging security trends—including task‑execution risks, unlimited CLI permissions, and alert overload—and presents Feilian's integrated endpoint‑network‑cloud ADR approach to achieve full‑stack, intent‑aware protection.
