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Coffee With Developers • Jun 10, 2026

Behind the Scenes of Building VS Code - Harald Kirschner

Harald Kirschner

Harald Kirschner claims AI has shifted the development bottleneck from writing code to reviewing it. Inside VS Code, this multi-agent acceleration forces engineers to act as software architects.

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#1 about 3 min

Leveraging web-based architecture for custom text editor features

Running a browser environment inside a text editor enables deeper customization and visual debugging through familiar web dev tools.

#2 about 2 min

Transitioning from direct code editing to multi-agent orchestration

Modern workflows shift focus from writing code to reviewing output and orchestrating parallel tasks across specialized development agents.

#3 about 3 min

Rewriting core compilation tools to resolve concurrent execution bottlenecks

Migrating the typescript compiler to go dramatically reduces build times and prevents parallel testing agents from stalling the continuous integration pipeline.

#4 about 1 min

Offloading computational pressure from local workspace language servers

Moving heavy repository operations and agent workloads into isolated processes stabilizes local integrated development environments.

#5 about 2 min

Enforcing automated code reviews to manage accelerated delivery

Requiring artificial intelligence review clearance before human evaluation prevents fast-moving generative pull requests from overwhelming primary maintainers.

#6 about 4 min

Filtering overwhelming community generative submissions in open source

Reversing the submission pipeline to prioritize validated issue discussions over automated multi-page pull requests preserves project maintainability.

#7 about 3 min

Structuring complex problem reports using automated conversation templates

Deploying conversational assistants to clarify ambiguous technical issues prevents lengthy unstructured essays from stalling developer triage queues.

#8 about 4 min

Abstracting routine product tasks into dynamic instructional prompts

Configuring custom natural language skill endpoints automates repetitive documentation chores and operational workflows within standard chat interfaces.

#9 about 3 min

Securing vulnerable generation environments against malicious marketplace extensions

Implementing rigorous prompt scanning and trusted publisher curation protects developers from installing corrupted workflow plugins that leak local data.

#10 about 5 min

Steering generative output using high-level architectural vision documents

Utilizing concise single-page specifications allows software architects to establish strong conceptual constraints that keep generation models aligned with broader goals.

#11 about 4 min

Accelerating early conceptual development via disposable exploratory generation

Treating initial code concepts strictly as disposable prototypes prevents teams from getting permanently locked into suboptimal incremental architecture fixes.

#12 about 4 min

Isolating logic sequences using parallel automated generation routines

Spawning smaller specialized routines allows base systems to quickly evaluate code constraints in isolated contexts without polluting global memory.

Matching moments

2:06 min

Rethinking team structures around AI agent capabilities

Mike Mike · WWC 2025

1:55 min

Shifting developer workloads and realistic AI productivity gains

Chris Heilmann +2 · LIVE

1:41 min

Building a native AI agent experience within the IDE

Alex Laubscher Alex Laubscher · WWC 2025

1:31 min

Replacing traditional code reviews with interactive agents

Victor Savkin Victor Savkin · WWC Europe 2026

57 sec

Transitioning into the integrated era of agentic IDEs

Sergej Reznik Sergej Reznik · Europe 2026 Virtual

1:30 min

Embracing code generation and modern editor evolution

Christian Heilmann Christian Heilmann · WWC 2025

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