Jyoti Bisht
Employers on the program
- 2026Independent3 talks
The year around now
Talks in the past 12 months and announced talks ahead, one row per conference, January to December. Hover a mark for the talk.
Appearances by year
- MCP Dev Summit / AGNTCon + MCPCon
Talks
| Date | Event | Conference | Role | Title | Links |
|---|---|---|---|---|---|
| Aug 13, 2026 | MCP Dev Summit Seoul 2026 | MCP Dev Summit / AGNTCon + MCPCon | speaker | Two Audiences, One Markdown File: Writing MCP Docs an Agent Can Actually Use as Independent When an MCP server exposes documentation.search and documentation.fetch, its docs site quietly acquires a second reader: the agent. And the agent is not a small…Show lessWhen an MCP server exposes documentation.search and documentation.fetch, its docs site quietly acquires a second reader: the agent. And the agent is not a small human. Humans want narrative tutorials; agents want flat, deduplicated, single-source-of-truth pages. Humans skim; agents tokenize. Humans... | |
| Jun 9, 2026 | MCP Dev Summit Bengaluru 2026 | MCP Dev Summit / AGNTCon + MCPCon | speaker | Skills Are Not MCP Servers: When To Use Which (and How To Make Them Work Together) as Independent There's a running argument in the AI tooling world right now do you need MCP servers, or can you just use Skills? I've been on both sides of this. At Harness,…Show lessThere's a running argument in the AI tooling world right now do you need MCP servers, or can you just use Skills? I've been on both sides of this. At Harness, I've built Claude Skills for DevOps workflows and worked with our MCP server that wraps the entire platform. And the honest answer is: it... | |
| Jun 9, 2026 | MCP Dev Summit Bengaluru 2026 | MCP Dev Summit / AGNTCon + MCPCon | speaker | Why Agents Make Different Decisions With the Same Tools as Independent Scenario: Deploy an agent to production. Works 90% of time in testing. Month later: Claude model updates. Success rate drops to 70%. Why? Model change altered…Show lessScenario: Deploy an agent to production. Works 90% of time in testing. Month later: Claude model updates. Success rate drops to 70%. Why? Model change altered how tools are ranked. You can't see this. You have no control. Your agent silently degraded. This talk identifies sources of divergence:... |
Frequent co-speakers
| Speaker | Shared events | Shared talks | Last together |
|---|---|---|---|
| Animesh Pathak | 2 | 2 | 2026 |
| Bhumika Satpathy | 2 | — | 2026 |
| Aditya Oberai | 1 | 1 | 2026 |
| Tanisha Sharma | 1 | 1 | 2026 |
Speakers with the same name are merged into one entry, so this page may combine more than one person. Affiliations are shown as each conference listed them.