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From Autocomplete to Autopilot: How AI Is Changing the Developer Experience

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From Autocomplete to Autopilot: How AI Is Changing the Developer Experience by Tugdual Grall
Room 8 · Deep Dive · 09:30-12:30

This talk explores the rise of agentic workflows and context engineering in AI-assisted development. Using GitHub Copilot’s latest tools, it shows how teams delegate end-to-end tasks, from architecture scaffolding to PRs, and how developers, SREs, DevOps, and PMs shift from writing code to expressing intent.

  • 38:00 RTK, Many tool to save token
  • 42:00 Hooks + Agent Debug logs (in VS code)
  • 56:51 Tips use CLI in VS code
  • 1:36:00 copilot impact explained
  • 2:09:00 Rowork [?] setup
  • 2:13:00 Project > setting -> Security -> codeQL
  • copilot CLI 10 people
    • -> 500 PR/week
  • quality + security needed (in CI ?)
  • We want new feature -> so more PR
  • But in a Bank App do you want new Feature every Day
    • -> No you want security / stability
  • Blog article Migration GHCP to Runtime Rust
  • copilot chat Feb 23
  • Agent Mode Feb 25
  • Harness become better on Delta
  • we have less need on skills Md file
    • -> No need to explain How to write java (to be challenge)

  • MR / PR code Review will be Most of our job
  • CLI -> focus on Request
    • -> Mult task
  • copilot App -> focus on several task local ->

  • cost Token cost on entreprise
  • explain exemple $ 500 / users
    • $ 2000 / users
  • Demo start
  • His credit since Begenin [?]
  • +23.000 AI credit
  • Shared experience on New Release of your AI tools
  • go to the Release Note of the tool you are using
  • RTK, Many tool to save token
  • he only look at AI credit if too expensive use another Model
  • do No early optimize
  • personal plan => token
  • entreprise plan => cost
  • Hooks
  • + Agent Debug logs (in VS code)

  • Github.com
    • -> configure Feature & client
  • explain what Harness is Doing
  • Tips use CLI in VS code
  • Sandbox -> in copilot
  • Autopilot => for code
  • Manual => DB, PR Validation
  • Auto pilot => Max AI credit
  • explain before work tree for multi task
  • Now he explaine Plan mode
  • For Big Repo -> Say to look Big Module
  • use the skill grill me
    • skill.sh
  • grill with doc
  • Reduce the spec kit to use plan
  • Feature Flag important
  • copilot impact explained
  • I should manage this
  • But maybe only valuable if using GH infra
  • code completion not interesting

  • ruber duck Feature GHCP
    • to use another model for Review
  • Demo use Astro 8 000 AI credit
    • to Rewrite the Full pet clinic
  • Side chat
    • New chat with the same Branch
  • luna max [?]
  • Rowork [?] setup
  • He has a prompt take pet clinic
  • Rowork [?] Back end , Front end
    • same prompt + same cortex [?]
    • with ≠ Model
  • have a bench mark to know New model ⭐
  • his point if you Diolant [?] change Agents .MD, skill, context since 6 Month you miss something
  • thus change so Fast
  • Project > setting -> Security
    • -> codeQL
  • Code QL can be used for SFPD Not just security
  • /Review
    • -> is it something we can use in local ?
  • awsome copilot
  • on size fit everything doesn’t work
  • skill was nice 6 month ago
    • less today
    • may be Back in 6 month
  • create skill, agent But Basic
  • Touri [?]
    • -> use AI to learn
  • /spor [?] => Challenge me
  • Run 2 agent for evaluate each Tools
    • the Compare the Result
  • if the prompt is not Big enough (Not Describe)
    • it should Be a plan
  • ask GHCP Review work on ≠ session
  • he can do that with the “chronicle Dalan [?] Base”
  • Add jira canvas [?] to add user interka [?]