Blog
I write about AI coding agents and how I measure them.
Latest posts
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BYTEBURST #10: Codex vs. Claude for Real Executive Work
A one-day field report on OpenAI Codex with GPT-5.5, Claude Code/Desktop with Fable 5, dynamic workflows, tool use, and the kind of work technical leaders actually need to finish.
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BYTEBURST #9: The Computer That Learned to Click
Computer Use, MCP, and the new operating model for agents that work where humans work
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BYTEBURST #8: Three Agents, Three Philosophies
Three companies built the same thing — a coding agent. They arrived at architectures so different that they share almost no design decisions. One hardens its binary before main() even runs.
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BYTEBURST #7: Ralph, Beads, and bv — A Practicum for Autonomous Software Development
A field practicum on running autonomous multi-agent software engineering loops with Ralph, Beads issue graphs, and deterministic verification.
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BYTEBURST #6: JetBrains finally cracked the code and released a DevOps IDE in 2025.3
BYTEBURST Issue #6: The JetBrains Dilemma: Evolution or Extinction?
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BYTEBURST #5: The Rise of Neural Memory Systems and Test-Time Learning
For nearly a decade, the field of artificial intelligence has been defined by a single architectural paradigm: the Transformer.
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BYTEBURST #4: The Synchronization of Intelligence
How generative AI, physical world models, and autonomous engineering agents converged into a unified multi-model operating architecture.
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Gemini 3 Pro, DeepThink, and Antigravity
On November 18, 2025, Google initiated a fundamental shift in the artificial intelligence landscape by introducing the Gemini 3 model family and the Antigravity development platform.
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Understanding Level 3 Market Data: A Deep Dive into the Quantum Mechanics of Financial Markets
An engineering deep dive into Level 3 limit order book microstructure, sub-microsecond matching engines, and deterministic market data pipelines.