~/talks

Alex Shershebnev

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titleconferencedate
Beyond Bugs: How AI turns QA into Full-Circle EngineersDevWorld 20262026-05-07
Claims that AI makes QA full engineers get grounded in specifics: Zencoder’s ZenFlow runs an agent fleet, a PR test-coverage bot suggests P1/P2 scenarios and…
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All Your AI are Belong to UsDevWorld 20262026-05-07
Claims: generative models introduce web app bugs and miss Supabase role rules leading to an exploit, agents can autonomously pen‑test with tools like Shannon…
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Supercharging DevOps with MCP (Without Opening a Security Hole)NDC Manchester 20252025-12-01
MCP (Model Context Protocol) lets LLMs call real tools via a client/server JSON-RPC pattern so models can query Grafana, trigger CI/CD, read Sentry, create…
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Beyond Bugs: How AI Turns QA into Full-Cycle EngineersTestCon Europe 20252025-10-21
Claim: MCP lets LLMs use real tools so QA moves from filing bugs to reproduces and fixes bugs, using Context 7, custom MCP servers, and playrite to drive…
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LLMs, Meet Your Tools: The Magic of Model Context ProtocolPorto Tech Hub Conference 20252025-10-07
Model Context Protocol (MCP) is a JSON‑RPC 2.0 based standard introduced Dec 2024 and already adopted by major providers, letting LLMs call JSON-RPC 2.0…
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LLMs, Meet Your Tools: The Magic of Model Context ProtocolVoxxed Days Crete 20252025-09-26
Model Context Protocol (MCP) lets an LLM request and run real tools: MCP server executes tools via JSON-RPC, advertises capabilities, and returns resources…
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Will AI (Finally) Replace Developers?Shift 20252025-09-14
Claims that LLMs plus tooling climb development “levels” to full automation by 2026–27, with agentic patterns boosting a benchmark from 6.3% to 35% when adding…
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AI Coding Agents and how to code themNDC Copenhagen 20252025-09-08
Shows how to build coding agents that use real tools (ping, bash, Playwright, a file system MCP tool) and a React-style reason+act loop, converts simple…
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Production-Ready Apps with AI AgentsReact Summit 20252025-06-13
The workshop covers the theory, practical development, and future impact of AI agents on software development. It discusses the potential of AI to replace…
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AI Coding Agents and how to code themConf42 Machine Learning 20252025-05-08
Demo shows concrete claims and working code: an agent loop using GPT4.1 plus a REACT thought‑action loop calls tools exposed via MCP servers (bash, file…
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AI Coding Agents and How to Code ThemGreat International Developer Summit 20252025-04-22
Demonstrates building coding agents that use React (reason+act) framework with concrete tools: ping, bash and web search hooked into GPT-4.1, then swapping to…
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Developing Production-Ready Apps in Collaboration with AI AgentsGreat International Developer Summit 20252025-04-22
Builds a conference website end to end with Zencoder as the coding agent, producing about 20–30 files in minutes: a React frontend / FastAPI backend /…
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AI Coding Agents and How to Code ThemDSC MENA 20252025-04-10
Live coding builds AI coding agents that run a REACT-style thought→action loop, use Model Context Protocol servers (bash, filesystem, fetch, Brave search) and…
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AI Coding Agents and how to code themVoxxed Days Bucharest 20252025-03-27
Explains how coding agents actually work by building one live: a REACT loop that issues thought → action → observation and calls concrete tools (ping, bash…
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Inside the Porto Tech Hub Conference 2024: Interview with ZencoderPorto Tech Hub Conference 20242024-11-26
Company launched in February and went public in October, now using the conference for PR and recruitment while hiring remote engineers; attendees include…
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ZencoderPorto Tech Hub Conference 20242024-11-26
Zencoder presents an AI coding agent platform that claims to let developers write code faster and understand existing code better, aiming to boost day-to-day…
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Going Beyond Copilot with AI AgentsHeapcon 20242024-11-07
Argues that code assistants fail because LLMs predict common tokens from open source data and lack grounding, so half of generated code is removed or rewritten…
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Going Beyond Copilot with AI AgentsPyData Amsterdam 20242024-09-18
Claims that code assistants miss 95% of developer time spent outside the IDE and that ~30% of accepted completions need fixes, then shows a concrete system…
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