SOBRE ESTE PODCAST 🔗
Insights on applying agentic AI to DevOps and software development automation, by practitioners at Sirob Technologies — the team behind B.O.R.I.S, the context layer for AI agents. https://www.getboris.ai
Frequência de atualização:
every 9 days
Duração média do áudio:
36 minutes
Podcast de vídeo
Inglês
Estados Unidos da América
36 episódios
desde 17 de Março de 2026
episodic
ÚLTIMO EPISÓDIO 🔗
An agent can pass its evals and still disappoint customers. Production traces help only when someone turns real successes and corrected failures into tests worth trusting.
Andrey Devyatkin, Vladimir Samoylov and Fernando Piviani join Langfuse engineer Nikita Kabardin to discuss golden datasets, hum…
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EPISÓDIOS ANTERIORES 🔗
An alert needs triage, a ticket needs a duplicate check, and a frontier LLM is generating answers for both. Decision models could make those routine checks cheaper, provided the thresholds and gates stay in code.
Andrey Devyatkin, Vladimir Samoylov and Fernando Gonçalves explore Jev, eight DevOps u…
Claude Code can produce more code than an engineer can comfortably review. Trusting that output takes a repeatable workflow, protected learning time and checks that catch a solution to the wrong problem.
Andrey Devyatkin and Fernando Gonçalves join Kaido Koort to explore agentic engineering trainin…
Security alerts keep piling up while AI doom dominates the headlines. LLMs can help sort the queue, but useful triage depends on evidence, limited access and spending controls.
Andrey Devyatkin, Vladimir Samoylov and Fernando Gonçalves discuss GuardDuty findings, live AWS policies, read-only permis…
AI writes the code, yet engineers end the day buried in reviews and unsure what shipped.
Andrey Devyatkin, Vladimir Samoylov and Fernando Gonçalves talk with Julien Bisconti about reference implementations, review stopping rules, changing harnesses, token spend and the case for combining cloud expe…
DevOps agents can call every tool and still miss what is running in production; a portable context layer gives reviews, security triage, and automation evidence they can trust. Andrey Devyatkin, Vladimir Samoylov, and Fernando Gonçalves connect Grok 4.6 in Cursor, Claude Tag, cloud code review, and…
AI adoption stalls when licenses and quotas replace trust, context, and verification. Fernando Gonçalves and Vladimir Samoylov explain how DevOps makes agentic coding safe to scale through checkable starter tasks, organization-specific context, independent tests, Terraform plans, and deterministic …
GitHub outages and agent-scale workloads are exposing the limits of centralized development platforms—learn where Cursor Origin and Entire could help, and which bottlenecks they cannot fix. Andrey Devyatkin, Vladimir Samoylov, and Fernando Gonçalves examine AI-native Git forges, distributed mirrors…
Loop engineering solves the coding-agent babysitting problem by giving DevOps teams a way to run larger tasks with evidence, constraints, and a clear definition of done. Andrey Devyatkin, Vladimir Samoylov, and Fernando Gonçalves unpack outer loops around agents, context-window limits, unattended r…
Loop engineering solves the coding-agent babysitting problem by giving DevOps teams a way to run larger tasks with evidence, constraints, and a clear definition of done. Andrey Devyatkin, Vladimir Samoylov, and Fernando Gonçalves unpack outer loops around agents, context-window limits, unattended r…
Aviso: O podcast e a arte incorporada nesta página são de Sirob Technologies, que é propriedade de seu proprietário e não é afiliado ou endossado por Listen Notes, Inc.
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