Jeppesen ForeFlight announced on October 6, 2026 the first three AI tools for its Airflow platform, aimed at helping airlines recover faster from flight disruptions and build crew schedules, with a br…
A developer described how an unannounced schema change in an upstream user_profile service caused a production inference outage, as a naive pd.json_normalize() call flattened a new nested JSON field i…
Writing extensive context documentation for AI agents is counterproductive because most of it duplicates facts the system already exposes through configs, logs, metadata, and queries, according to a S…
A September Build Lab session, published as a written guide, lays out a four-phase plan for onboarding an AI data agent the way a company hires a data person: orientation, onboard, internship, and hir…
A developer argues that the common Airflow-versus-Dagster orchestration debate misses the real failure mode in ML pipelines: task-centric DAGs treat models and datasets as opaque task outputs rather t…
Data engineering practitioner and author ssp.sh argues that the emerging wave of AI orchestrators is repeating the same scheduling, error-logging, and restartability patterns already solved by 15 year…
Botika, a fashion AI developer co-founded by CEO Eran Dagan, has moved its compute-heavy operations onto Modal, processing a 100-terabyte image dataset, training proprietary foundation models with ten…
A1ho.com published a technical blueprint for an agentic, self-healing SEO audit loop that uses autonomous agents to monitor, detect, and fix technical SEO issues in real time, claiming it reduces mean…
A developer and their teammate built a tool for DataHub's 'Build with DataHub: The Agent Hackathon' that generates Airflow DAGs from DataHub metadata. The tool walks lineage graphs, reads tags and glo…
A developer argues that most agentic AI vocabulary maps directly to concepts DevOps teams already use, such as agent loops being reconciliation loops and guardrails being admission control. The post p…
Lajosdeme released Mole, an open-source deep research agent that runs from the terminal, combining large language models with a retrieval system to answer questions with up-to-date web or database inf…
A developer built Safaricom Intelligence, a data pipeline that converts 19 years of Safaricom's financial disclosures into a queryable BigQuery dataset. During the project, the pipeline generated a fa…
Interlace, a new open-source data engineering framework, unifies SQL and Python models, ingestion, and orchestration into a single graph abstraction, eliminating the seams between separate tools. The …
Artefact, a global data and AI consulting company, is hiring a Forward Deployed Engineer for its Utrecht office to build production-grade data pipelines and deploy LLM-based solutions such as RAG syst…
Maxime Beauchemin, creator of Airflow and Superset and CEO of Preset, is building Agor, an open-source platform he calls 'Figma for agents' to coordinate AI agents in shared, secure workspaces. In an …
A production AI infrastructure engineer reports that six months of operating an on-prem RAG pipeline for internal document search over 2M legal documents with a Llama-3.1-70B model revealed critical p…
A developer argues that ML pipelines should be modeled as graphs of assets rather than DAGs of tasks, because task-based orchestration like Airflow tracks execution success but not data freshness or d…
LangGraph can be deployed as a composable service within an existing data stack, integrating with schedulers like Airflow and Prefect, APIs, and warehouses such as Snowflake, Redshift, and BigQuery. T…
A developer building LLM workflows argues that choosing between chaining libraries and general orchestrators depends on whether the problem is LLM glue or reliable execution. The developer built Promp…
A data engineer outlines a practical roadmap for breaking into the field in 2026, emphasizing SQL fluency, Python scripting, cloud cost optimization, and data modeling over outdated tools like Hadoop.…