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#OceanBase#database
The next shift isn't smarter models. It's better collaboration protocols between agents & humans. Infrastructure must evolve from storage to coordination. #FutureOfWork#AI#OceanBase
Human-in-the-loop workflows fail when agents can't pause for review. Persistent context lets humans pick up where agents left off & vice versa. Collaboration requires shared state. #Automation#Workflow#OceanBase
Interoperability is the bottleneck, not inference speed. Agents waste cycles relearning context instead of executing. Standardized context infrastructure removes this tax. #TechDebt#AI#OceanBase
Single-session agents are prototypes. Production systems require continuity across days, models, & operators. Building for handoff changes the entire storage architecture. #MachineLearning#Engineering#OceanBase
Decoupling state from the inference host enables true agent portability. Work starts on Model A, pauses, resumes on Model B w/ full state intact. The context layer becomes the source of truth. #DistributedSQL#AI#OceanBase
Stop treating context as ephemeral chat history. It's shared memory for a team of humans & models. Infrastructure must support handoffs, not just completions. #LLM#CloudNative#OceanBase
Context loss between sessions kills agent productivity. Restarting tasks wastes compute & human time. Persistent state layers allow workflows to survive model switches & host restarts without losing progress. #AI#DevOps#OceanBase
AI agents stall when context dies at session end. Open-source infrastructure now persists state across models & hosts. Humans & agents hand off unfinished work seamlessly. Architecture walkthrough: #AgenticAI#Infrastructure#OceanBase https://t.co/RQcEEJBwE4
Model judgment isn't runtime verification. AI opinions on correctness must stay separate from test results. One checks intent, the other checks behavior. Distinct checks prevent false confidence in deployments. #Database#CloudNative#OceanBase
Native code understanding lets agents trace call sites before editing. No more blind changes based on stale context. Inspectable evidence reduces risk in complex repos. Architecture walkthrough: #AI#Database#OceanBase https://t.co/I3TvDMMeCY
PowerContext: A Foundation for Human–Agent CollaborationPowerContext is open-source context infrastructure that lets people and AI agents hand off unfinished work across sessions, models, and agent hosts.Qing TangOctober 10, 2026 #OceanBase https://t.co/RQcEEJBwE4
Stale code references break agents. Repository evidence must be freshness-checked before editing to verify current implementation state. #SRE#AI#OceanBase
Vendor lock-in isn't inevitable with adapter patterns. Isolate vendor specifics from core logic to prevent breaking changes during swaps. #DevOps#Database#OceanBase
New APIs target bounded judgment specifically. The integration interface matters more than the underlying model provider for stability. #LLM#CloudNative#OceanBase
Archiving knowledge ≠ Governing it. Stored experience must remain usable over time, not just sit in a backlog waiting to rot. #AI#DistributedSQL#OceanBase
Past rejected proposals are valuable evidence. Knowing why a change was dropped matters more than the rule itself for future tasks. #DevTools#Engineering#OceanBase
Model opinion isn't program behavior. Keep judgment results separate from independent test verification to ensure reality matches prediction. #SRE#Database#OceanBase
Token costs add up fast. Native understanding reduces context window waste by fetching only relevant implementation evidence for the task. #CloudNative#AI#OceanBase