Martin Fowler
PulseAugur coverage of Martin Fowler — every cluster mentioning Martin Fowler across labs, papers, and developer communities, ranked by signal.
7 day(s) with sentiment data
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Developers wary of AI agentic development due to control and predictability concerns
Developers express hesitation towards agentic development, citing concerns about the potential for these AI systems to introduce errors or behave unpredictably. The article highlights that while agentic tools can offer …
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Samsung unveils new foldable phone; "LLM Voice" concept explored
Samsung has announced its new foldable phone, the Galaxy W27, set for release in 2026, with broader foldable plans extending to 2027. Separately, an article discusses the concept of "LLM Voice" by Martin Fowler, explori…
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Open-source Plugboard simplifies AI connector setup; Martin Fowler's 'LLM Voice' post shared
An open-source project called Plugboard has been introduced to simplify the process of setting up connectors for multiple AI accounts. Separately, a post from Martin Fowler's blog discussing 'LLM Voice' has been shared.
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GEO and SEO are distinct metrics; agent recipes improve AI reliability
A new approach to Generative Engine Optimization (GEO) distinguishes it from traditional Search Engine Optimization (SEO), arguing that GEO scores measure content's quotability and machine-parseability, while SEO focuse…
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Strangler Fig Pattern Offers Safer AI Integration for Legacy Systems
Integrating AI capabilities into legacy systems can be challenging due to their rigid structures and limited interfaces. A recommended approach is to use the Strangler Fig pattern, which involves incrementally introduci…
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Martin Fowler criticizes LLMs, likening them to untrustworthy people
Martin Fowler, a prominent figure in software development, has expressed his reservations about interacting with Large Language Models (LLMs). He likens the experience to encountering people he dislikes or distrusts, st…
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Microservices expert Sam Newman discusses resilient systems and AI's impact
Sam Newman, author of "Building Microservices," discussed his views on microservices as an architecture of last resort in a recent episode of The Pragmatic Engineer podcast. He shared insights into common adoption pitfa…
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Martin Fowler explores LLM programming language abstractions
Martin Fowler's recent fragments discuss the ideal language for Large Language Models (LLMs) to use for programming. He suggests that the abstraction level should be chosen to allow for the most precise expression of pr…
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AI accelerates unprecedented change in tech industry, altering coding practices
The tech industry is undergoing unprecedented change driven by AI, with engineering leaders noting a significant acceleration in the pace of innovation. Many engineers are no longer writing code manually, instead relyin…
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Martin Fowler expresses skepticism about Large Language Models
Martin Fowler, a prominent software engineer, has expressed his reservations about Large Language Models (LLMs) in a recent article. While acknowledging their capabilities, Fowler outlines several reasons for his skepti…
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Martin Fowler criticizes LLMs, citing overhype and ethical concerns · 4 sources tracked
Martin Fowler expresses a strong dislike for Large Language Models (LLMs), arguing that their current capabilities and societal integration are problematic. He criticizes the hype surrounding LLMs, suggesting they are o…
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LLM evaluations shift from subjective checks to structured metrics
An article discusses the importance of structured evaluations (evals) for assessing the performance of large language models (LLMs), moving beyond subjective judgments. The author details a project where a deterministic…
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Claude Fable 5.1 deciphers ancient cipher; AI regulation debated · 7 sources tracked
Claude Fable 5.1 has demonstrated its capability by deciphering a 370-year-old cipher, the Cyphral Distich, in under an hour using approximately 176,000 tokens. This feat highlights the model's advanced autonomous reaso…
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Consort framework enables test-driven development on live database branches
A new agent framework called Consort has been introduced, designed for test-driven development on live database branches. This framework aims to enforce engineering discipline by allowing agents to run tests and control…
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Martin Fowler questions TDD's value in AI agent loops
Martin Fowler explores the practical application of test-driven development (TDD) within an agent loop, questioning whether it offers genuine value or is merely performative. He examines how TDD principles might be inte…
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Thoughtworks engineers build airline IROps system in 4 days using emergent agent coordination
Thoughtworks technologists conducted a four-day experiment in Barcelona, Spain, involving 10 engineers to explore "hyper-agentic" software development. The team successfully built a simulated airline IROps system, a com…
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Harness Engineering: Guiding AI Coding Agents for Reliable Software Development
Harness engineering is a concept for effectively integrating AI coding agents into software development workflows. It involves creating a surrounding system, or "harness," that guides the AI with project-specific rules …
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Martin Fowler: Data preparation is key for agentic AI
Martin Fowler argues that for AI agents to be effective, the data they interact with must be meticulously prepared. He emphasizes that current data practices are often insufficient for the demands of agentic AI, which r…
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Martin Fowler details "The Orchestrator's Tax" in AI systems
Martin Fowler's "The Orchestrator's Tax" article explores the hidden costs associated with using AI orchestrators. These systems, while powerful, introduce complexities and overhead that can outweigh their benefits if n…
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Martin Fowler advocates for AI tools that augment, not replace, human input
Martin Fowler discusses the concept of "harness engineering" in software development, emphasizing that AI tools should augment rather than replace human input. He suggests that these tools should guide developers toward…