
<p>Coding agents waste an uncomfortable amount of context on things that are not actual reasoning: verbose terminal output, files they have already inspected, oversized JSON responses, and context that keeps...


technology
Hosted by The Engineering Behind AI · technology · EN
Computalis explains the AI models, coding agents, developer tools, and infrastructure changing how software is built; with evidence-led breakdowns, comparisons, and practical analysis. www.computalis.cc
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Contact path
Public web form
Booking probability
36%
Guest openness
Selective
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Signup to Generate a PitchComputalis explains the AI models, coding agents, developer tools, and infrastructure changing how software is built; with evidence-led breakdowns, comparisons, and practical analysis.
Computalis is hosted by The Engineering Behind AI. The show has published 10 episodes to date.
Recent episodes include "Token-Saving Tools for Coding Agents: An Evidence-Led Comparison" (29 September 2026, 5 minutes), "Which MCP Optimization Actually Gives Your Context Window Back?" (22 September 2026, 8 minutes), and "LM Studio Bionic: If Everyone Can Use the Same Model, What Does the Harness Actually Add?" (10 September 2026, 7 minutes).
Computalis publishes roughly daily, with episodes averaging 6 minutes across 10 episodes.
Booking probability for Computalis is 36%, and the host is rated Selective on guests. Computalis requires a Pod Score of 80 or higher. Computalis's contact route on record: public web form.
The strongest fits for Computalis are IT Services & Software Development and Cloud, Data & Web Hosting. Computalis has a technology audience.
The Engineering Behind AI hosts Computalis, a technology podcast with 10 episodes published.
Our AI reads these to draft pitches. Use them as grounding for a pitch that cites a real guest and a specific topic.

<p>Coding agents waste an uncomfortable amount of context on things that are not actual reasoning: verbose terminal output, files they have already inspected, oversized JSON responses, and context that keeps...

<p>MCP has a context problem that is easy to ignore until you look at the numbers.</p><p>In one verified OpenCode issue, a single MCP server pushed context usage from roughly 21K tokens to about 168K before the user had...

<p>LM Studio Bionic can run an open model locally. So can Codex, Claude Code, and OpenCode — all through LM Studio itself.</p><p>That makes the obvious pitch much less interesting.</p><p>If the model can stay the same...

<p>Local fine-tuning has never really been one task.</p><p>You find a model, prepare an environment, convert a dataset, configure training, watch logs, manage checkpoints, export weights, quantize them, and finally wire...

<p>Multi-agent demos usually end at the final answer: the panel votes, the majority wins, and whatever happened between the agents disappears. That makes for a clean demo, but it also hides the most interesting part of...

<p>Qwen3.8-27B arrives with one of the strongest coding benchmark tables we have seen from a local 27B-class model. On SWE-bench Pro, Terminal Bench 2.1, and QwenSWEBench, it leads most of the models listed in Qwen’s...

<p>Muse Glimmer 30B is interesting for a very specific reason: Meta has released an open-weight model built around a future that AI companies usually describe in cloud terms, but which Glimmer tries to pull back onto...

<p>A developer gives a coding agent what looks like a completely ordinary task: fix this GitHub issue in this repository.</p><p>The issue describes a real bug. The repository is real. The agent has the tools it needs to...

<p>Ornith 1.5 is easiest to understand as two releases happening at the same time. At the top end, there is a 397-billion-parameter mixture-of-experts model with benchmark numbers that put it surprisingly close to the...

<p>Ox Alpha landed on OpenRouter on August 20, 2026 with almost the perfect recipe for developer attention: free access, a million-token context window, explicit positioning for coding and long-horizon agent work, and...
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