30,000 merges a day: AI hits the software delivery bottleneck
Anthropic went from 2,500 to 30,000 code merges a day in four months and replaced Git. Where delivery can break and how to address it.
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24 Showing articles 1–24 of 545
A Claude key in Git: GitHub blocks the push by default
GitHub blocks pushes containing Claude keys by default. How the protection works and how to keep LLM keys out of repositories and within budget.
Learn moreFour frontier labs: the edge lies in the system around the model
Four labs have frontier models. Why your own benchmark, an LLM gateway and short agent chains can deliver more than choosing a model.
Learn moreAI accelerated releases. Now the system must withstand failures
AI agents accelerated releases and failures increased. Prepare for outages with timeouts, circuit breakers, idempotency and model fallback.
Learn moreAI agents in production depend on the system around the model
Five AWS Bedrock cases cover self-checks, HTTP 402 payments, data dictionaries and access. What determines whether an AI agent reaches production.
Learn morecrewAI 1.15.28: see exactly where an agent failed
The new crewai eval command shows where an agent failed. Why diagnostics matter more than features, and three questions to ask your supplier.
Learn moreHermes Agent 0.22: the first minutes decide adoption
24,200 commits to a chat that works before an API key is added. Measure enterprise AI time to use and find where users drop off.
Learn moren8n 2.44: quick AI automation needs production safeguards
One AI workflow took 6–10 minutes to build in n8n, Make and Zapier; all three failed. What n8n 2.44 changes and how to make automation reliable.
Learn morePimcore 2026.3.2: three flaws an editor can exploit
Three Pimcore 2026.3.2 flaws are accessible to a PIM editor. How IDOR, Twig sandbox bypass and XSS work, and how to deploy patches within days.
Learn moreInference determines the AI budget: three lessons from AWS's latest guides
Prefill/decode on different GPUs, provider fallback, and small models on CPUs. We review AWS guides and adapt them to a CIS environment.
Learn moreAgentScope 2.0.10: the enterprise agent breaks when reading tables
AgentScope 2.0.10 reviewed: Word tables, duplicate Excel headers, and TTS. Why agents fail on input data and how to shorten time to value.
Learn moreAI news digest: selection costs the most
54 of 60 news items were reprints of one release. How a filter cascade saves LLM calls and why AI digests and RAG lose value without it.
Learn moreDurable Task: when a process needs memory of every step
When durable execution pays off: long-running processes, sagas, bulk LLM processing, and AI agents. When a queue and Kafka are enough.
Learn moreAnthropic Dynamic Workflows: Agents Are Controlled by Code-Based Workflows
Anthropic introduced flows for orchestrating Claude agents with code. We examine the mechanism, parallel and pipeline primitives, and the pre-launch checklist.
Learn morePython 3.15 and the end of 3.10: upgrading the interpreter on schedule
Python 3.15 brings lazy imports (PEP 810), while 3.10 reaches end of support. What this means for business and how to update the stack on schedule.
Learn moreRepetition Without Memory: How n8n Automation Creates Duplicate CRM Tasks
An n8n workflow failed after creating a CRM task, and retrying creates duplicates. We examine atomic claims, event keys, and checks before retry.
Learn moreAn IDE agent has employee permissions: what to do
Copilot now has managed models, a sandbox, and automatic SSO authentication. How to manage a coding agent like an employee with access rights.
Learn moren8n templates from the community: what separates a demo from an integration
A review of new n8n templates: Yandex 360, invoice reconciliation, and JSON from LLMs. What breaks between prototype and production.
Learn moreAn Agent in Production: Everything Around the Model Is the Hard Part
Postman, 40 million developers, and agent payments: what keeps an agent running in production and why the prompt is not the main factor.
Learn moreOne hundred million ARR in three weeks: what businesses can buy from it
A $7.5 billion valuation three weeks after launch: how to read startup ARR and choose AI by time to value, not hype.
Learn moreDeno Is Moving to Cloudflare: The Cost of Dependency
Deno is moving to Cloudflare, with runtime support for another year. How to calculate the cost of leaving a runtime and AI model dependency.
Learn moreThe n8n workflow ran twice, and no one noticed.
An n8n workflow runs twice: duplicate charges and duplicate leads. Why this happens and how idempotency keys prevent it.
Learn moreHow to calculate agent ROI when the hours-based formula does not work
The “hours × rate” formula was made for RPA and undervalues AI agents. What to measure instead and how to budget costs in the business case.
Learn moreAgent Framework 1.21: Control Built into the Agent Loop
What is new in Agent Framework python-1.21.0: Purview over the full buffer, tool-result rules, and three questions before production.
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