OWASP's Q1 2026 exploit round-up documents eight real-world AI agent security incidents, including a three-hour PyPI backdoor of the LiteLLM gateway that pulled an autonomous attack bot into roughly 4…
A blog post argues that LLMs should be given domain-specific languages (DSLs) to edit rather than free-form prompts, citing a captain-hook example where Claude Code hooks in nested JSON are replaced b…
DSPy 3.4.0 has been released with PythonInterpreter improvements, faster GEPA optimization, and MCP v2 compatibility, according to the Stanford NLP project's release notes. The Python framework, which…
Deepfates released Imp, a full port of the DSPy language-model programming framework to the Elixir/BEAM ecosystem, letting developers declare typed model calls, agent loops and retrieval that run unde…
A retired technologist seeking to work around RAG-driven inaccuracies was advised to experiment with query clarification, also called ambiguity-aware RAG, using DSPy to define a "clarify or answer" mo…
DSPy 3.4 adds first-class support for System One models, letting Jev run behind an ordinary DSPy signature and preserving its probability evidence for optimization. The integration installs via `pip i…
A developer compared five approaches to a banking-support classification task using the BANKING77 dataset: a TF-IDF lexical model, a small sentence transformer (MiniLM), a general-purpose language mod…
An agent harness is the code and structure around a language model that converts raw text prediction into goal-directed behavior, and it has driven larger performance gains than model upgrades, accord…
Google's developer blog proposed in July that system prompts should be treated like source code, composed from modules, transpiled, validated in CI, and shipped as versioned artifacts, joining Anthrop…
Hamel Husain, a software engineer, published a blog post arguing that developers should inspect the final prompts that LLM abstraction tools like DSPy, guidance, and instructor send to language models…
Databricks is hiring a Senior AI Engineer (Forward Deployed Engineer) for its U.S. Federal Sector, offering $182k–250k per year, based in Washington, D.C., with U.S. citizenship and Secret clearance e…
Carnegie Mellon University PhD student Michael Isaac, during an internship at cmpnd, implemented Flex, a new DSPy module that lets models rewrite program code, not just instructions, to optimize perfo…
A developer found that DSPy's compiled programs re-send up to 20 few-shot demonstrations on every inference call, adding significant token overhead that is invisible in the source code. The default op…
Demand for engineers skilled in LLM agent development has surged 300% year-over-year, making it the highest-leverage skill for 2026, according to LinkedIn workforce data from late 2024. Proficiency wi…
A developer's analysis of production AI agent failures reveals that self-correction prompts often degrade performance, causing errors such as hallucinated dependencies, infinite validation loops, and …
DSPy 3.3.0's MIPROv2 optimizer can automatically compile a support-ticket classifier prompt that beats a hand-tuned baseline, according to a tutorial by Mariana Souza. The approach uses a DSPy signatu…
A developer warns that the software supply chain for AI coding agents is vulnerable, citing a backdoored LiteLLM package on PyPI that was downloaded 47,000 times in three hours. The post details three…
Superlinked released SIE, an open-source inference engine that serves 100+ models for agent tasks through one OpenAI-compatible API, replacing separate model servers per task. The engine supports sear…
DSPy creator Omar Khattab's toolkit and its GEPA optimizer are the targets of a polemic by an unnamed developer who argues that treating LLM workflows as modular programs is 'backwards, rigid, and the…
Sidekick's continual learning loop compresses production experience into model weights, delivering higher quality than frontier models while cutting costs by 96% in Shopify's GraphQL agent. The proces…