এই পডকাস্টটি সম্বন্ধে 🔗
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
আপডেট ফ্রিকোয়েন্সি:
every 8 days
গড় অডিও দৈর্ঘ্য:
36 minutes
ভিডিও পডকাস্ট
ইংরেজি
মার্কিন যুক্তরাষ্ট্র
37 পর্ব
17 মার্চ, 2026থেকে
episodic
সাম্প্রতিক এপিসোড 🔗
Agents can produce pull requests faster than teams can review them, even while Git stays fast. Hosting platforms face real scaling pressure, but most teams hit other limits first.
Andrey Devyatkin, Vladimir Samoylov and Fernando Piviani examine GitHub, GitLab and Cursor Origin's storage changes, An…
অতীতের এপিসোডগুলি অনুসন্ধান করুন
Agentic AI in DevOps এর অতীতের এপিসোডগুলি অনুসন্ধান করুন।
পূর্ববর্তী এপিসোডসমূহ 🔗
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…
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…
দাবি পরিত্যাগ: এই পৃষ্ঠায় এম্বেড করা পডকাস্ট এবং আর্টওয়ার্ক Sirob Technologies থেকে এসেছে, যা এর মালিকের সম্পত্তি এবং Listen Notes, Inc দ্বারা অনুমোদিত বা অনুমোদিত নয়৷
পডকাস্ট সার্চ ইঞ্জিন
আপনি আমাদের ওয়েবসাইট ব্যবহার করতে পারেন3,825,280পডকাস্ট এবং195,819,548পর্বগুলি মানুষ, স্থান, বা বিষয় দ্বারা অনুসন্ধান করতে৷
If I have seen further than others, it is by listening to podcasts and standing upon the shoulders of
giants.
‐ Isaac "Llamacorn" Newton
অতীতের এপিসোডগুলি অনুসন্ধান করুন
Agentic AI in DevOps এর অতীতের এপিসোডগুলি অনুসন্ধান করুন।
এই পডকাস্টটি দাবি করুন
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