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AI Development Articles

Deep dives into AI-assisted and agentic development. Coding agents, frontier model releases, SDKs, prompting patterns, and the engineering workflows behind building production software with AI.

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The newest AI Development guides and analysis

Showing 1-24 of 743 articles
DeepSeek V4.1 Flash adds vision and lower prices. Compare 19 official benchmarks, agent frameworks and API costs before Pro changes on September 14.
#DeepSeek#Model Releases+3 more
2026-09-09
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Compare 31 agent features across Anthropic, OpenAI, Google and AWS, with dated sources for retention, ZDR eligibility, contract scope and deletion.
#Zero Data Retention#Agent Platforms+3 more
2026-09-08
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Map approval, delivery, cancellation, returns and refunds after an AI-assisted purchase, with the Muse-specific Link protection limits and evidence.
#Agentic Commerce#Meta Muse+3 more
2026-09-08
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The NSA, CISA and FBI name six AI companies in advisory AA26-251A. See what changes for model procurement, provenance checks and API abuse monitoring.
#AI Security#Model Distillation+3 more
2026-09-08
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Compare Astra and Fable 5.1 pricing, cache costs, context limits and access rules, then choose a model for coding, document work or long agent runs.
#GPT-6 Astra#Claude Fable 5.1+3 more
2026-09-08
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OpenAI reports an 88-hour Navier–Stokes agent run. Examine its coordination choices, separate verification, and an illustrative output-token budget.
#Multi-Agent Systems#OpenAI+3 more
2026-09-08
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ChatGPT Images 2.5 adds new creative controls and two API models. Compare Flare and Sunburst, verified token prices, and a practical rollout plan.
#OpenAI#ChatGPT Images+4 more
2026-09-08
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Meta Muse brings background tasks, browser actions and memory to a US rollout. See what is available, what is coming, and how to assess its privacy.
#Meta#Muse+4 more
2026-09-08
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Check an archive before an AI agent extracts it. Define the destination, allowed file types, overwrite behavior and resource limits before accepting files.
#AI agents#Practical decisions+2 more
2026-09-07
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Bind AI publication approval to the exact version, destination and audience. A practical review record helps prevent later edits from bypassing the decision.
#AI agents#Practical decisions+2 more
2026-09-07
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Check how separate AI coding changes interact after integration. Use a combined-version review record to catch behavior gaps that a clean merge can miss.
#AI agents#Practical decisions+2 more
2026-09-07
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Keep spreadsheet cleanup from changing what your data means. Give an AI agent column rules, reversible transformations and an exception record to review.
#AI agents#Practical decisions+2 more
2026-09-07
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Resume an AI workflow safely after access expires. Reconnect the right account, reconcile earlier writes and continue only the items whose state is known.
#AI agents#Practical decisions+2 more
2026-09-07
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Distinguish an AI draft from a saved, sent or published result. Use a delivery-state reference to describe the evidence, destination and audience accurately.
#AI agents#Evidence reference+2 more
2026-09-07
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Choose what to simulate in AI agent tests and what needs a real check. A reference for test data, mocked responses, side effects and honest evidence limits.
#AI agents#Evidence reference+2 more
2026-09-07
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Check what an AI agent actually read from a document. Map text, table structure, footnotes and images to the evidence needed before using an extracted claim.
#AI agents#Evidence reference+2 more
2026-09-07
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Check whether an AI research answer uses the right web revision. Separate retrieval time, publication date and effective date when primary pages disagree.
#AI research#Web evidence+3 more
2026-09-06
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Turn AI meeting notes into a usable decision record. Preserve conditions, unresolved questions and ownership without treating a suggestion as approval.
#AI meeting notes#Decision records+3 more
2026-09-06
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Test AI-built forms beyond a successful submit. Preserve valid input, explain errors and distinguish a rejected request from an outcome still unknown.
#AI-built forms#Coding agents+3 more
2026-09-06
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Scope a small AI-built utility around clear inputs, outputs and limits. Decide what it should own, reject and preserve before it grows into a system.
#AI-built tools#Coding agents+3 more
2026-09-06
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Compare AI models using the review work needed for an accepted result. Track inspection, corrections and rechecks before treating a lower bill as savings.
#AI model selection#Human review+3 more
2026-09-06
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Trace AI research claims to their original evidence. Distinguish copies, new analysis and independent observations without discarding useful follow-ups.
#AI research#Source independence+3 more
2026-09-06
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Match an AI agent screenshot to the claim it supports. A practical reference for visible state, interaction, saved outcomes and missing capture context.
#AI agents#Screenshot evidence+3 more
2026-09-06
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Distinguish an AI task deadline from a tool timeout or expired access. Use a time-limit reference to budget work and interpret what each clock controls.
#AI agents#Timeouts+3 more
2026-09-06
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