How Much Does AI Improve Software Development Productivity?

Strong evidence supports 1.1–1.3× release output; highest-automation cases report a low-confidence 4.5× median and 10×+ upper end.

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Building the Ed-o-meter: Notes on Writing My Own LLM Benchmark

The harness, tasks and evaluation decisions behind a reproducible 28-task benchmark — including the mistakes that mattered most.

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We Ran GLM-5.2, Claude Fable 5 and GPT-5.5 Through the Same Evaluation

Twenty-eight identical tasks reveal the trade-offs between reliability, refusal behaviour, cost and answer quality.

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Is Claude Fable 5 Worth It for Enterprise Coding?

How to read the benchmark lead, refusal behaviour and price premium when choosing a coding model for an engineering organisation.

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How to Sandbox AI Agent Code

Firecracker, OpenSandbox, Docker, SmolVM and nono compared across four isolation models for safely running agent-generated code.

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Multi-Agent Orchestration Frameworks Compared: ruflo, Aperant, Sandcastle, Mission Control and Maestro

An evidence-based comparison of five multi-agent orchestration tools — ruflo, Aperant, Sandcastle, Mission Control and Maestro — by popularity, use case, hosting and community feedback.

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GitHub Copilot vs Claude Code vs Cursor

A practical comparison of three AI coding tools — with real-world pricing models, costs at scale, and a decision guide for engineering teams in 2026.

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Claude Memory and Dream: Evidence, Architecture and Risk

Reported deployment gains, system architecture, and the governance risks of persistent, self-editing agents.

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Copilot Studio vs Azure AI Foundry vs AWS Bedrock

Three platforms, three layers of the AI stack. A practical guide to choosing the right enterprise AI platform for your organisation.

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RAG vs GraphRAG: Which Retrieval Architecture Is Right for Your AI Application?

Retrieval-augmented generation transformed enterprise AI. Now GraphRAG is challenging the assumptions it was built on.

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Microsoft Foundry: Architecture, Governance and Trade-offs

A decision guide to Foundry's control plane, model and agent services, Azure advantages, operational costs and trade-offs.

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Generative AI Adoption by Industry: Use Cases, Data and What Comes Next

A sector-by-sector breakdown of where generative AI is actually being used — from financial services and healthcare to charities and education.

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AI-Assisted Web Development: Where It Helps and Where It Fails

Where coding and content tools save time, where they create risk, and which review controls matter.

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