Vercel's Workflow Development Kit v5.0.0-beta.36, released July 22, 2026, adds NestJS support and tighter run safeguards to its durable execution system that uses two JavaScript pragmas—"use workflow"…
Systems thinking has become the most valuable skill in AI hiring, according to a Forbes analysis citing Netflix, Gartner, DORA, and a $5 billion funding round for Temporal. The skill is now the key di…
Temporal's Workflow Streams, now in public preview for Python and TypeScript, delivers exactly-once, ordered streaming from a single Workflow to subscribers without a separate relay, but it does not r…
Pydantic AI's native integration with Temporal, a durable execution engine, enables agentic applications to resume from failures instead of restarting. The TemporalAgent class wraps existing agents, c…
OpenBox AI has joined Temporal's AI partner ecosystem and shipped an integration that injects runtime governance checks into Temporal workflows for long-running enterprise agents, announced July 13. T…
A developer open-sourced AEGIS, a self-hosted, flow-first personal AI orchestration platform designed to minimize interruptions. The MIT-licensed system uses four named agents, a Postgres interactions…
AI Transport v0.5.0 introduces Steps, a feature that enables durable execution of agent turns by allowing retries without duplicate output, integrating with frameworks like Temporal and Vercel WDK to …
A developer built a fault-tolerant AI agent workflow using Temporal and CrewAI that survives process crashes, enforces retry policies, and blocks on human approval for unbounded periods. The reference…
Cockroach Labs partner solutions architect Amine El Kouhen explains how DBOS embeds durable execution directly into applications as a library, using CockroachDB to persist workflow state and recover f…
Microsoft's TypeScript team rewrote the TypeScript 7.0 compiler and tools in Go, achieving roughly an order of magnitude improvement in build times. The decision reflects Go's design for readability a…
A developer named Maneshwar built git-lrc, a Micro AI code reviewer that runs on every commit, and shared their experience self-hosting Postiz, an open-source alternative to Buffer. They deployed Post…
At the AI Engineer conference in San Francisco, a developer observed that the industry is moving past simple chat interfaces and treating large language models like central processing units within an …
A developer outlines the five pillars required to build production-grade AI agents: reliability, security, scalability, observability, and governance. The guide emphasizes that production-grade system…
A developer argues that production AI systems must wrap stochastic large language models inside deterministic software shells to ensure reliability. The approach uses constrained decoding, finite stat…
Temporal shipped Serverless Workers, Standalone Activities, and Workflow Streams at Replay 2026 to address infrastructure cost, message queue complexity, and LLM token streaming challenges in AI agent…
Enterprise architects face a fundamental tension between the Saga pattern for rollback and autonomous agent design, as the pattern requires pre-authoring undo actions for known steps, which becomes im…
Diagrid Catalyst, built on Dapr, introduces verifiable execution lineage for agent workflows, addressing a gap in existing workflow engines like Temporal that lack cross-boundary trust verification. T…
Temporal, a Bellevue, WA firm founded in 2019, aims to be the reliability backbone for an agentic AI economy through its durable execution technology, which resurrects failed computing processes on ot…
Swift's server ecosystem reached two 1.0 milestones with the release of Swift System Metrics, providing stable APIs for CPU, memory, and file descriptor monitoring. Rust 1.95 introduced new zeroed all…
Go's runtime is well-suited for production AI agents, which are long-running, concurrent, I/O-bound processes. The language's goroutines, channels, and single-binary deployment enable teams to build a…